Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Content
Welcome Message 002
Acknowledgement 003
Committees 003
Conference Information 005
Social Program 010
General Information 011
Sightseeing 013
Technical Program
- Program at-a-Glance 015 - Monday, September 3, 2012 016 - Tuesday, September 4, 2012 017 - Wednesday, September 5, 2012 030 - Poster Session 038 - Instruction for Chairs and Speakers 041
Abstracts
- Tuesday, September 4, 2012 042 - Wednesday, September 5, 2012 106
001 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Welcome Message
Dear distinguished participants, colleagues and friends,
On behalf of the Organizing Committee of The 8th Asian Federation for Information Technology in Agriculture (AFITA 2012) and World Conference on Computers in Agriculture (WCCA 2012), we would like to welcome your participation for this biennial event held during Sep. 3rd~6th, 2012 at National Training Institute of Farmers’ Organizations (Tianmu Convention Center) in Taipei, Taiwan.
This year, we received 160 paper submissions from 23 different countries around the world. We would like to thank those who submitted papers to the congress and we are very proud that the quality of the papers is ever improving. The Organizing Committee is pleased to announce that we have prepared a very comprehensive scientific program which will be featured as two keynote lectures, four workshops and twenty-one seminars of the accepted papers. Furthermore, social programs and field trips have been arranged for participants to experience the unique fusion of Taiwanese cultures, lifestyles, and exotic cuisines in this energetic city, Taipei. With these marvelous arrangements, we expect more than 200 participants from at least 25 countries to join this event!
We would like to acknowledge the contributions that have made AFITA/WCCA 2012 a successful event. First, we would like to thank all the authors who submitted their papers to us, and we hope that they continue to submit their high quality works to AFITA in future years. We thank the conference committee members and the external reviewers for their hard work in providing a rigorous and fair evaluation of each submission and providing detailed comments and feedback to help authors improve their works. We are very grateful to the keynotes and invited speakers for enriching the conference by presenting their distinguished and internationally recognized researches.
Yet despite all the high anticipation on the exciting content of the conference, only with your participation can we make AFITA/WCCA 2012 realize its milestone position. AFITA/WCCA 2012 would not have its soul without your presence. It’s our great honor and pleasure to be able to receive you and we wish all of you a pleasant and wonderful time in the hospitability of Taiwan.
Dr. San-Cheng (Simon) Chang President Taiwan Agricultural Information Technology Association Asian Federation for Information Technology in Agriculture Minister without Portfolio, Executive Yuan
002 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Acknowledgement
Government & Associations Council of Agriculture, Executive Yuan
Individual & Co-operations e-Enabling Data Center EU Framework Programmme Food, Agriculture and Fisheries, and biotechnology Galaxy Software Services Corporation Gao-Shan Wu Hyweb Technology Co., Ltd. InfoExplorer Co., Ltd. Li-Yu Hsu Microsoft Taiwan Corporation National Contact Point Taiwan Taiwan Futaba Electronics Corporation Wei Peng
Committees
Conference President San-Cheng Chang Scientific Committee Chair Wei Fang Members Seishi Ninomiya Fedro Zazueta Gerhard Schiefer Jung-Tai Chao Yi-Chich Chiu Shan-Jen Fang Jong-I Hu Joe-Air Jiang Jen-Chyuan Lee Tzong-Ru Lee Ta-Te Lin Ming-Shu Ruan Ming-Daw Su Ye-Nu Wan Yao-Ming Yeh Hsiu-Ping Yueh Program Committee Chair Tien-Yin Chou Members Yung-Cheng Chang Wen-Fu Chen Shu-Huei Chen Ching-Kai Hsiao Chao-Feng Hsu Huang-Chao Lee Shue-cheng Lin Gour-Tsair Pan 003 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Chung-The Sheng Fuu Sheu Chun-Shi Wang Ming-Che Wu Mei-Ling Yeh Organizing Committee Chair Chen-Chung Huang Members Cheng-Wan Feng Kuo-Hsiung Hsiao Jia-Hong Hsu Wen-Jenq Wu Chen Lin Da-Wei Lin Chih-Hung Tan Hsueh-Hui Wang Zhi-Wen Wang Chien-Hsien Yen AFITA Honorary Member Jae kun Chun Osamu Kitani Yasushi Hashimoto Ajit Maru DG Icar Weon-Sik Hahn Fangquan Mei Sumet Tantivejkul V. C. Patil Seishi Ninomiya Jane Lin Kudang Boro Seminar President San-Cheng Chang Vice-President Zuorui Shen Adinarayana J Setyo Pertiwi Edi Abdurachman Takemi Machida Lee Jeong-Jae Royol Chitradon Gour-Tsair Pan Secretary General Tien-Yin Chou Board Member Meng Xianxue Li Si-Jing D. Rama Rao Yaduraju Tassim Billah Hastrisari Hasdjomidjojo Ronnie Kastaman Norihiro Nakamura Takaharu Kameoka Kazuhiro Nakano Shim Keun-Seop SungYoul Park Pisuth Paiboonrat Royboon Rassameethes Ye-Nu Wan Ching-Kai Hsaio Chen-Chung Huang Institutional/Associate Member Felino P. Lansigan Nguyen Viet Chien M.A. Zaman Kamardin Saadan Narantuya Baatar Adalfred do Rosario Ferreira Ashraf Tanvir Tshering Tobgay Saphaugthong Thatheva Sahdev Singh Ehud Gelb Prashant Mandhar Leisa Armstro INFITA Chairman Past Chair Secretary Seishi Ninomiya Fedro Zazueta Gerhard Schiefer
004 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Conference Information
Venue Registration National Training Institute of Farmers’ Organizations Lobby, 1st Floor, Tianmu Convention Center (Tianmu Convention Center) Opening Hours Address: No.113, Sec. 7, Zhongshan N. Rd., Shilin 09:00-18:30, September 3, 2012 Dist., Taipei 11156, Taiwan 08:30-17:00, September 4, 2012 Tel: +886-2-2876-2676 08:30-15:30, September 5, 2012 Secretariat For on-site registration, payment must be made in CASH Room 101, 1st Floor, Tianmu Convention Center (NTD / USD) ONLY. Opening Hours Name Badges 09:00-18:00, September 3, 2012 All participants will be issued with a name badge at 08:30-17:00, September 4, 2012 registration. For identification purposes, participants are 08:30-18:00, September 5, 2012 strongly requested to wear badges at all times whilst in the Internet & Preview Room venue. 5th Floor, Tianmu Convention Center Message Board Opening Hours Official Information and Message Board will be installed 09:00-17:30, September 3, 2012 near the registration counter. Message will be taken during 08:30-17:00, September 4, 2012 registration hours. Please check the message board for 08:30-15:30, September 5, 2012 conference announcements and to receive your messages. Poster Area Lunch Break Room 101, 1st Floor, Tianmu Convention Center The lunch break will be run between 12:10 to 13:40 in the Opening Hours restaurant at the B1 Floor of Tianmu Convention Center from 09:00-18:00, September 3, 2012 September 3 to 5, tatal 3 days. No complimentary lunch will 08:30-17:00, September 4, 2012 be provided throughout the conference. 08:30-15:30, September 5, 2012 Surrounding Dining Information Exhibition Area Taipei is a gourmet paradise offering many various cuisines Lobby, 1st Floor, Tianmu Convention Center from world famous Chinese cuisines to Western fast foods Opening Hours and even other international cuisines. You may find all kinds 09:00-18:30, September 3, 2012 of food services at nearby area. General opening hours for 08:30-17:00, September 4, 2012 shops or restaurants are 11:00~22:00. 08:30-15:30, September 5, 2012 Insurance The Organizer is not responsible for the insurance of participants against personal injuries, sickness, theft or property damage incurred during the conference. Concerned participants should obtain insurance coverage for protection. 005 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Floor Maps
4
Stairway to 2F, Hall 4 Room 101 Room 502 2 Lobby 1st 2 1 Room 503 3 Floor 3 Guard- room
1 Main Gate
Room 504 1 Hotel Counter 4 Room 505 5 2 Room 101- Secretariat & Poster Area 3 Lobby- Registration 4 Lobby- Exhibition
1 Room 502- Seminar 2 Internet & Preview Room 3 Room 503- Seminar 4 Room 504- Seminar
Hall 5 Room 505- Seminar 1 2nd
Floor
Hallway
1 Hall- Opening Ceremony & Keynote
006 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
4
Stairway to 2F, Hall 4 Room 101 Room 502 2 Lobby 2 1 Room 503 3 5th 3 Guard- room Floor 1 Main Gate
Room 504 1 Hotel Counter 4 Room 505 5 2 Room 101- Secretariat & Poster Area 3 Lobby- Registration 4 Lobby- Exhibition
1 Room 502- Seminar 2 Internet & Preview Room 3 Room 503- Seminar 4 Room 504- Seminar
Hall 5 Room 505- Seminar 1
Hallway
1 Hall- Opening Ceremony & Keynote
007 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Venue Map
Section 2 Shipai Rd Tianmu Convention Center
Tianmu West Rd Section 7 Zhongshan North Rd Tianmu East Rd
Donghua Bridge
Zhenhua St
Tianmu Baseball Stadium Shipai Station Shidong Rd Section 2 Zhongcheng Rd
Mingde Rd Shidong Rd
Section 6 Zhongshan North Rd
Mingde Fuhua Rd Dexing East Rd Station Keqiang Rd Wendel’s Bakery & Dexing East Rd Bistro Mingde Rd d R Wenlin Rd g n e h c g Dexing West Rd on h 1 Z Section Zhishan Station
Fuguo Rd
008 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Traffic Instruction Taiwan TaoYuan International Airport: Taipei Buses Where to buy bus tickets: Description Terminal 1 Bus Platform: On the south side of the B1 floor. Terminal 2 Bus Platform: On the North side of the First floor.
Kuokuang Line [1819 to Taiwan Railways Station ] to Taipei School for the Hearing Impaired Stop and then take a taxi to Tianmu Convention Center. The taxi fare is about NT$ 220. Taiwan Taoyuan International Airport Taiwan Railways Station Taoyuan International Stops Airport, Taipei School for the Hearing Impaired, Kulun St., Taiwan Architecture Park, Fortuna Hotel, Ambassador Hotel, Taiwan Railways Station. Fare Adult NT$125/Child NT$65/Round-Trip NT$230 Interval 15-20(minutes) Taiwan Taoyuan International Airport : 05:40-01:30 (03:00 Extra Bus) Service Hours Taiwan Railway Administration : 04:30-23:50 Driving Distance 55 minutes Evergreen Bus [5201] to Taipei School for the Hearing Impaired Stop and then take a taxi to Tianmu Convention Center. The taxi fare is about NT$ 220. Taiwan Taoyuan International Airport Taipei Taipei School for the Hearing Impaired, Cheng Yuan High School, Shuanglian MRT station, Evergreen Marine Corp., Xing’an Public Stops Housing, Nanjing E. Rd.MRT station, Fuxing S. Rd., Zhongxiao Fuxing MRT station, Zhongxiao Xinsheng MRT station, Evergreen International Hotels, Leofoo Hotel, Songjiang Community Fare Adult NT$150/Child NT$75 Interval 15-20 minutes To Taiwan Taoyuan International Airport : 06:00-00:30 Service Hours CYC Center (Evergreen Marine Building) to Taiwan Taoyuan International Airport : 05:00-23:00 Driving Distance 50 minutes to 60 minutes Taipei SongShan Airport: Take a taxi from airport to Tianmu Convention Center. The taxi fare is about NT$ 250. Taipei Main Station: MRT Tamsui Line from Taipei Main Station to Zhishan Station and then take a taxi to Tianmu Convention Center . The taxi fare is about NT$ 100. Taipei Main Station Tamsui Zhongshan, Shuanglian, Minquan W. Rd., Yuanshan, Jiantan, Stops Shilin, Zhishan, Mingde, Shipai, Qilian, Qiyan, Beitou, Fuxinggang, Zhongyi, Guandu, Zhuwei, Hongshulin, Tamsui Fare NT$25 Interval 5-10 minutes Service Hours 06:00 ~ 24:00 Driving Distance 15 minutes Take a taxi from Taipei Main Station to Tianmu Convention Center. The taxi fare is about NT$ 280. 009 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Social Program
Conference Lunch Date Monday-Wednesday, September 3-5, 2012 Time 12:10-13:40 Location B1 Floor, Tianmu Convention Center Welcome Reception Date Monday, September 3, 2012 Time 18:00-19:30 Location B1 Floor, Tianmu Convention Center Social Dinner Date Wednesday, September 5, 2012 Time 18:00-20:00 Location Wendel's German Bakery & Bistro (No.5, Dexing W. Rd., Shilin Dist., Taipei City 111, Taiwan) Shuttle from Tianmu Convention Center to Wendel’s German Bakery & Bistro: 17:30, 1F Lobby Remarks Shuttle from Wendel’s German Bakery & Bistro to Tianmu Convention Center: 20:40 Field Trip Tour A Date Thursday, September 6, 2012 Time 09:30-16:00 Route Tianmu Convention Center → National Palace Museum → Lunch → Shilin Official Residence → Tianmu Convention Center Remarks 1. Shuttle will be provided at the conference venue at 09:30 2. Lunch will be provided Tour B Date Thursday, September 6, 2012 Time 07:50-18:00 Route Tianmu Convention Center → Taiwan High Speed Rail → Taiwan Agricultural Research Institute → Lunch → Wu-Feng Farmer’s Association → National Taiwan Craft Research and Development Institute → Taiwan High Speed Rail → Tianmu Convention Center Remarks 1. Shuttle will be provided at the conference venue at 07:50 2. Lunch will be provided
010 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
General Information
Bank, Currency, Credit Cards The currency is the New Taiwan Dollar (NTD). The exchange rate in recent months is around NT$30 for US$1. Foreign currencies can be exchanged at hotels, airports and government-designated banks. Major credit cards are widely accepted, and traveler’s checks may also be accepted by tourist-oriented shops, hotels and banks. Tipping A 10% service charge is automatically added to room rates and meals. All other tipping is optional. Electricity Taiwan uses electric current of 110 volts at 60 cycles, appliances from Europe, Australia or South-East Asia will need an adaptor or transformer. Many buildings have sockets with 220 volts especially for the use of air conditioners. Travel in Taiwan Airport Express Bus Airport express bus between the Taoyuan International Airport and the Grand Hyatt Taipei (nearest hotel by the conference venue) is available through Air Bus East Line, and the cost is NT$145 for one way ticket. Taxi Taxi in Taipei charges are NT$70 for the first 1.25 km and NT$5 for each additional 250 meters. An additional NT$5 is charged for every two minutes of waiting, and a 20% surcharge is added to fares between 11 p.m. and 6 a.m. Airport Taxis charge according to the meter plus a 15% surcharge (highway tolls not included). Typical fare to Taipei is around NT$1,200. Most drivers do not speak English, so it is a good idea to have hotel personnel write both your destination and your hotel’s name and address in Chinese, along with the projected cost of each one-way trip. MRT Travel to the conference venue by Mass Rapid Transit (MRT) is available through the Metro Taipei Banqiao Nangang Line (Blue Line). The nearest station is the Taipei City Hall Station (Exit No.2). Single journey ticket ranges from NT$20 to NT$65 depending on traveling distance. MRT operating hours are 06:00~24:00. For further information on Metro Taipei and schedule, please visit the Metro Taipei website. http://www.trtc.com.tw City Bus A single section fare for city bus is NT$15. Pay upon boarding or departure according to the instructions. For further information on bus route and schedule, please visit the Taipei e-bus System website. http://www.e-bus.taipei.gov.tw/ Taiwan High Speed Rail The most convenient way to travel from Taipei City to Kaohsiung City is by the Taiwan High Speed Rail (THSR). An express train that is capable of running up to 300 km/h in 90 minutes. For further information on THSR route and schedule, please visit Taiwan High Speed Rail website. http://www.thsrc.com.tw Useful Phone Numbers Taiwan Taoyuan International Airport +886-3-398-3728 Tourism Bureau +886-2-2349-1500 Foreign Affairs Division, Taipei Office +886-2-2348-2999 Emergency Service 110 011 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Taipei Metro Route Map
012 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Sightseeing
Shilin Night Market is the one of the largest night markets in Taipei. Shilin Market is famous for various snacks and eatery. Many visitors have come to Shilin Night Market to enjoy the delicious foods, such as large pancake enfolding small pancake, hot pot on stone or Shilin sausage. Shilin Night Market has become a renowned place for great foods. Address: Between end of Wenlin Rd., Jihe Rd. and Zhongshan N. Rd. MRT: Take the MRT and exist at the Jiantan Stop.
Guanghua Market is the place to go in Taipei for computer equipment and other electronic gadgets, with over a hundred shops selling the high-tech items. In addition to computers and other electronic peripherals, the market also sells branded sportswear and athletic gear, DVDs and CDs, posters, PC and console games, books, stereo equipment, mobile phones and more. The market is known for its wide variety, low prices and convenient comparison shopping, making it a magnet for budget-minded student shoppers. Address: No.77, Jinshan N. Rd., Jhongjheng District, Taipei City MRT: Take the MRT and exist at Zhongxiao Xinsheng Station (Exit 1) then walk about 5 minute towards Civic Blvd.
The National Palace Museum houses the world’s largest collection of priceless Chinese art treasures, one which spans China’s nearly 5,000-year history. Most of the museum’s 620,000 art objects were part of the Chinese imperial collection, which began over 1,000 years ago in the early Song dynasty. Address: No.221, Sec. 2, Zhishan Rd., Shilin District, Taipei City MRT: Take the MRT to the Shilin Station and take bus R30 (Red 30) to the National Palace Museum.
Chiang Kai-shek Memorial Hall is located in the heart of Taipei City. The area is 250,000 square meters and it is the attraction most visited by foreign tourists. Outside the gate of Chiang Kai-shek Memorial Hall, there are poles carrying the sign of true rightness. The architecture of Chiang Kai-shek Memorial Hall is inspired by Tientam in Beijing. The four sides of the structure are similar to those of the pyramids in Egypt. Address: No.21, Zhongshan S. Rd., Zhongzheng District, Taipei City MRT: Take the MRT and exist at CKS Memorial Hall (Exit 5).
013 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Longshan Temple is a famous old temple in Taiwan for worshiping Guanshiyin Budda and other divine spirits. Its architecture is a three-section design in shape built in Qianlong 5th year in Qing Dynasty. On each 1st and 15th day each month of lunar year, regular visitors will come to the temple for worship ceremony. Longshan Temple is not only a temple, a sightseeing attraction, but also a second-degree historical site. Address: No. 211, Guangzhou St., Wanhua District, Taipei City MRT: Take the MRT and exist at Longshan Temple Station.
Taipei 101, with a mass of shops on the lower floors, incorporating many top brands under the LVMH group, such as Louis Vuitton, Dior, Celine, etc. The fourth floor houses the Page One bookstore from Singapore, with the highest-roofed coffee house in Taipei and many fine restaurants. Address: 89F, No. 7, Sec. 5, Xinyi Rd., Xinyi District, Taipei City MRT: Take the MRT and exist at Taipei City Hall Station then walk about 5 minute towards Xinyi Shopping District.
Maokong Gondola is located in the southern tip of Taipei City, and the system began operation in July 2007. Since then it has evolved into a favorite tourist destination for locals and visitors. It is Taipei City’s first high-altitude gondola. This French POMA-made system makes a circuit of four stations: Taipei Zoo Station, Taipei Zoo South Station, Zhinan Temple Station, and Maokong Station. Address: Sec. 2, Xinguang Rd., Wenshan District, Taipei City MRT: Take the MRT and exist at Taipei Zoo.
014 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Program at-a-Glance
3-Sep 4-Sep 5-Sep 6-Sep
Registration 08:30~17:00 Registration 08:30~15:30
Registration 9:00~10:40 B1, Seminar Room 9:00~10:40 B1, Seminar Room 9:00~18:30 Workshop (3)- KM & DSS Workshop (4)- ICT Training and Education Chair: Gerhard Schiefer Chair: Fedro Zazueta 10:00~10:30 2F, Hall Naoshi Kondo, Japan Tran Viet Khanh, Vietnam Opening Ceremony Kuan Chong Ting, USA Chih-Hung Tan, Taiwan Suming Chen, Taiwan Saravanan Raj, India 10:30~11:20 2F, Hall Flora Hu, Taiwan Jiannong Xin, USA Keynote (1) Bao-Ji Chen, Taiwan Coffee Break 10:40~11:10 Coffee Break 10:40~11:10 San-Cheng (Simon) Chang, Taiwan 11:10~12:10 11:10~12:10 Field Trip 11:10~12:10 11:10~12:10 11:10~12:10 11:10~12:10 11:10~12:10 5F, Room 504 5F, Room 504 (A) National Palace 5F, Room 502 5F, Room 503 5F, Room 505 5F, Room 5F, Room 503 Seminar 3 Seminar 15 Museum + Shilin 11:20~12:10 2F, Hall Seminar 1 Seminar 2 Seminar 4 502 Seminar 14 Artificial GIS Official Residence Keynote (2) e-Agricultural GIS e-Government Seminar 13 e-Agricultural Intelligence & Applications 09:30~16:00 Darryl Chantry, Australia Services (1) Applications (1) (Mandarin) Data Mining Services (2) Robotics (2) (B) Taiwan Agricultural Research Institute 12:10~13:40 4F, Room 410 12:10~13:40 12:10~13:40 +Wu-Feng Farmer’s AFITA Board Meeting Lunch Lunch Association+National Lunch Taiwan Craft Research and 13:40~15:20 B1, Seminar 13:40~1500 13:40~1500 Development Institute Room 13:40~1500 13:40~1500 5F, Room 505 5F, Room 13:40~1500 13:40~1500 13:40~1500 07:50-18:00 Workshop (1)- Sensor 5F, Room 502 5F, Room 503 Seminar 8 502 5F, Room 503 5F, Room 504 5F, Room 504 Research Seminar 5 Seminar 6 Decision Seminar 16 Seminar 17 Seminar 18 Seminar 7 Chair: Joe-Air Jiang Modeling & Sensor Support Systems Computer ICT Adoption Sensor ICT Adoption Takaharu Kameoka, Japan Simulation (1) Research (1) (1) Based Data & Education Research (2) Cheng-Long Chuang, Taiwan (Mandarin) Analysis Yung-Chung Wang, Taiwan Takuji Kiura, Japan Coffee Break 15:00~15:30 Coffee Break 15:00~15:30
Coffee Break 15:20~15:50 15:30~16:50 15:30~16:50 15:30~16:50 15:30~16:50 15:30~16:50 15:30~16:50 15:30~16:50 5F, Room 502 5F, Room 503 5F, Room 504 5F, Room 505 5F, Room 5F, Room 503 5F, Room 504 15:50~17:30 B1, Seminar Seminar 9 Seminar 10 Seminar 11 Seminar 12 502 Seminar 20 Seminar 21 Room Standardization Decision Applications Sensor & RFID Seminar 19 Applications Modeling & Workshop (2)- GIS & Support for Agriculture Applications Nature for Agriculture Simulation Chair: Seishi Ninomiya Interoperability Systems (2) (1) (Mandarin) Protection (2) (2) Bruno Basso, Italy Tien-Yin Chou, Taiwan 16:50~17:20 Mark Chen, Taiwan Closing Ceremony/AFITA General Satoshi Sekiguchi, Japan Assembly
18:00~19:30 Welcome Reception 18:00~20:00 Social Dinner
015 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Monday, September 3, 2012 10:00-10:30 Opening Ceremony 2F, Hall 10:30-11:20 Keynote (1) 2F, Hall Keynote (1)-01 The Challenges and Opportunities of Agriculture in the 21st Century Bao-Ji Chen, Council of Agriculture, Executive Yuan (Taiwan) Keynote (1)-02 Cloud Computing and Agriculture- The Taiwan Adventure San-Cheng (Simon) Chang, Executive Yuan (Taiwan) 11:20-12:10 Keynote (2) 2F, Hall Keynote (2)-01 Cloud Computing in the Real World- Sharing of Experiences and Ideas Darryl Chantry, Datacenter & Private Cloud Centre of Excellence, Microsoft Corporation (Australia)
13:40-15:20 Workshop (1)- Sensor Research B1, Seminar Room Chair: Joe-Air Jiang, National Taiwan University (Taiwan) Workshop (1)-01 A Sensing Approach to Fruit-Growing Takaharu Kameoka, Mie University (Japan) Workshop (1)-02 ICT in e-Agriculture- Case Study Yung-Chung Wang, National Taipei University of Technology (Taiwan) Workshop (1)-03 Global Agricultural Cloud a Dream? Takuji Kiura, National Agriculture and Food Research Organization (Japan) Workshop (1)-04 Connecting the Mud to the Cloud- Smart Agriculture Cheng-Long Chuang, National Taiwan University (Taiwan)
15:50-17:30 Workshop (2)- GIS B1, Seminar Room Chair: Seishi Ninomiya, University of Tokyo (Japan) Workshop (2)-01 Quantifying the Odds in Decision Making in Agriculture Bruno Basso, University of Basilicata (Italy) Workshop (2)-02 Real-Time Spatial Information and the Integration Applications of Agriculture Management Tien-Yin Chou, Feng Chia University (Taiwan) Workshop (2)-03 Taiwan Agriculture Planting and Marketing Information Cloud Computing Mark Chen, International Integrated Systems, Inc. (Taiwan) Workshop (2)-04 GEO Grid: Activities and Direction Satoshi Sekiguchi, The National Institute of Advanced Industrial Science and Technology (Japan)
016 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Tuesday, September 4, 2012 09:00-10:40 Workshop (3)- KM & DSS B1, Seminar Room Chair: Gerhard Schiefer, University of Bonn (Germany) Workshop (3)-01 Intelligence Empowered Agriculture and Food System Kuan Chong Ting, University of Illinois at Urbana-Champaign (USA) Workshop (3)-02 Key Technologies in Precision Livestock and Aquaculture Naoshi Kondo, Kyoto University (Japan) Workshop (3)-03 Precision Cultivation in Greenhouse Suming Chen, National Taiwan University (Taiwan) Workshop (3)-04 Innovative Application of IT Knowledge Management at the Taiwan Public Agriculture Sector Flora Hu, Galaxy Software Services Corporation (Taiwan)
11:10-12:10 Seminar (1)- e-Agricultural Services (1) 5F, Room 502 Chair: Gerhard Schiefer, University of Bonn (Germany) Seminar (1)-01 Strategy and Concept of Open Cloud Application Platform in Agriculture Masayuki Hirafuji, Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Yasuyuki Hamada, Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Tomokazui Yoshida, Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Atsushi Itho, Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Takuji Kiura, NARO Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Seminar (1)-02 ICT Intervened Agri Advisory Services: A Comparative Study of Four Projects from India Kasina V. Rao, SJM School of Management, Indian Institute of Technology Bombay (India) Krithi Ramamritham, Department of Computer Science & Engineering, Indian Institute of Technology Bombay (India) Rajendra M. Sonar, SJM School of Management, Indian Institute of Technology Bombay (India) Seminar (1)-03 eAgromet: A Prototype of an IT-Based Agro-Meteorological Advisory System P.Krishna Reddy, IT for Agriculture and Rural Development Research Center (India) B.Bhaskar Reddy, IT for Agriculture and Rural Development Research Center (India) P.Gowtham Sreenivas, IT for Agriculture and Rural Development Research Center (India) M. Kumaraswamy, IT for Agriculture and Rural Development Research Center (India) D.Raji Reddy, Agro Climate Research Center, Acharya NG Ranga Agricultural University (India) G. Sreenivas, Agro Climate Research Center, Acharya NG Ranga Agricultural University (India) M. Mahadevaiah, Agro Climate Research Center, Acharya NG Ranga Agricultural University (India) L.S. Rathore, India Meteorological Department (India) K.K. Singh, India Meteorological Department (India) N. Chattopadhyay, India Meteorological Department (India)
017 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Seminar (1)-04 Constructing an Asian Pacific Plant Seedlings Industrial Information Service Platform Ming-Shu Yuan, Department of Information and Communications, Shih Hsin University (Taiwan) Ming-Yenn Chou, Taiwan Seed Improvement and Propagation Station, Council of Agriculture, Executive Yuan (Taiwan) Shao-Peng Huang, Taiwan Seed Improvement and Propagation Station, Council of Agriculture, Executive Yuan (Taiwan) Tso-Chi Yang, Taiwan Seed Improvement and Propagation Station, Council of Agriculture, Executive Yuan (Taiwan) Yu-Ching Tsai, Taiwan Seed Improvement and Propagation Station, Council of Agriculture, Executive Yuan (Taiwan)
11:10-12:10 Seminar (2)- GIS Applications (1) 5F, Room 503 Chair: Seishi Ninomiya, University of Tokyo (Japan) Seminar (2)-01 Application Software Designed to Create Paddy Field Maps Using “Raster-to-Vector Conversion＂ Taimei Okada, Agroinformatics Division, NARO Agricultural Research Center, Faculty of Environment and Information Sciences, Yokohama National University (Japan) Tomokazu Yoshida, Agroinformatics Division, NARO Agricultural Research Center (Japan) Tomoharu Nagao, Faculty of Environment and Information Sciences, Yokohama National University (Japan) Seminar (2)-02 Agricultural ICT Infrastructure- Prerequisite for Agro-Forest Management- In Any Country Walter Mayer, PROGIS Software GmbH (Austria) Seminar (2)-03 GIS and Remote Sensing Applications in Natural Resources Management in Bangladesh M. A. Zaman, Department of Farm Power and Machinery, Bangladesh Agricultural University (Bangladesh) Seminar (2)-04 Soil Survey Database in Taiwan Chu-Chung Chen, Agricultural Chemistry Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Horng-Yuh Guo, Agricultural Chemistry Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan)
11:10-12:10 Seminar (3)- Artificial Intelligence & Robotics 5F, Room 504 Chair: Kuan Chong Ting, University of Illinois at Urbana-Champaign (USA) Seminar (3)-01 Navigo- A Field Robot for Small Farms Ariangelo Hauer Dias Ariangelo, Department of Informatics, State University of Ponta Grossa (Brazil) Anderson Estevam da Rosa Anderson, Department of Informatics, State University of Ponta Grossa (Brazil) Daurimar Mendes da Silva Daurimar, Department of Informatics, State University of Ponta Grossa (Brazil) Idomar Augusto Cerutti Idomar, Department of Informatics, State University of Ponta Grossa (Brazil) Ivo Mário Mathias Ivo, Department of Informatics, State University of Ponta Grossa (Brazil) Seminar (3)-02 User Interface Design Principles for Robotics in Agriculture: The Case of Telerobotic Navigation and Target Selection for Spraying 018 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
George Adamides, Information and Communications Systems, Open University of Cyprus, Agricultural Research Institute (Cyprus) Ron Berenstein, Department of Industrial Engineering and Management, Ben-Gurion University of the Negev (Israel) Idan Ben Halevi, Department of Industrial Engineering and Management, Ben-Gurion University of the Negev (Israel) Thanasis Hadzilacos, Information and Communications Systems, Open University of Cyprus (Cyprus) Yael Edan, Department of Industrial Engineering and Management, Ben-Gurion University of the Negev (Israel) Seminar (3)-03 The Supervised Multi-Agent Systems for a Closed-House Based Broiler Industry Kudang Boro Seminar, Department of Mechanical & Biosystem Engineering, Bogor Agricultural University (IPB) (Indonesia) Alimuddin Alimuddin, Department Of Electrical Engineering, University Of Sultan Ageng Tirtayasa (Untirta) (Indonesia) I Dewa Made Subrata, Department of Mechanical & Biosystem Engineering, Bogor Agricultural University (IPB) (Indonesia) Sumiati Sumiati, Department of Nutrition & Feed Technology, Bogor Agricultural University (IPB) (Indonesia) Seminar (3)-04 Towards Effective Extraction of Green Fractional Vegetative Cover from Plant Images Taken under Natural Light Wei Guo, Institute for Sustainable Agro-ecosystem Services, Graduate School of Agricultural and Life Sciences, The University of Tokyo (Japan) R. Uday Kiran, Institute of Industrial Science ,The University of Tokyo (Japan) Seishi Ninomiya, Institute for Sustainable Agro-ecosystem Services, Graduate School of Agricultural and Life Sciences, The University of Tokyo (Japan)
11:10-12:10 Seminar (4)- e-Government 5F, Room 505 Chair: Yao-Chin Lin, Yuan Ze University (Taiwan) Seminar (4)-01 Integrated Information System for High-Quality Crop Production Chun-Tang Lu, Taiwan Agricultural Research Institute (TARI), Council of Agriculture, Crop Science Division (Taiwan) Hsiu-Ying Lu, Taiwan Agricultural Research Institute (TARI), Council of Agriculture, Crop Science Division (Taiwan) Meng-Li Wei, Taiwan Agricultural Research Institute (TARI), Council of Agriculture, Crop Science Division (Taiwan) Seminar (4)-02 Establishment of Production Management System for Important Fruits Guo-Shiang Hwang, Agricultural Engineering Division, Taiwan Agricultural Research Institute (Taiwan) Jyh-Rong Tsay, Secretary General office, Taiwan Agricultural Research Institute (Taiwan) Shou-Hung Chen, Department of Geology, Chinese Culture University (Taiwan)
019 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Yung-Shing Teng, Fengshan Tropical Horticultural Experiment Branch, Taiwan Agricultural Research Institute (Taiwan) Chi-Cho Huang, Fengshan Tropical Horticultural Experiment Branch, Taiwan Agricultural Research Institute (Taiwan) Seminar (4)-03 Implementation and Application of the Geographic Information System for the Horticultural Crop Wild Relatives Shu-Fen Chang, Chiayi Agricultural Experiment Station, Taiwan Agricultural Research Institute (Taiwan) Hui-Lung Chiu, Division of Plant Germplasm, Taiwan Agricultural Research Institute (Taiwan) Wen-Liang Chiou, Division of Plant Germplasm, Taiwan Agricultural Research Institute (Taiwan) Chien-Wen Chen, Division of Plant Germplasm, Taiwan Agricultural Research Institute (Taiwan) Seminar (4)-04 Development of Fisheries Information Systems for the Fisheries Research Institute of Taiwan Ya-Ke Hsu, Planning and Information Division, Fisheries Research Institute (Taiwan) Shih-Chin Chen, Planning and Information Division, Fisheries Research Institute (Taiwan) Chi-Yuan Lin, Planning and Information Division, Fisheries Research Institute (Taiwan) Chen-Te Tseng, Planning and Information Division, Fisheries Research Institute (Taiwan) Kao-Sung Chen, Planning and Information Division, Fisheries Research Institute (Taiwan) Seminar (4)-05 Computer Simulation of the Control Timing Against Spodoptera Litura (Fabricus) in Groundnut Field During Different Seasons Shu-Jen Tuan, Department of Entomology, National Chung Hsing University (Taiwan) Chung-Chieh Lee, Department of Entomology, National Chung Hsing University (Taiwan)
13:40-15:00 Seminar (5)- Modeling & Simulation (1) 5F, Room 502 Chair: Abbas Ahmadi, University of California Davis (USA) Seminar (5)-01 Agroforestry- Exploring a Mitigation Option for Nitrogen Pollution in Cropping Systems of the North China Plain Jirko Holst, Computer Applications and Business Management in Agriculture, Faculty of Agricultural Sciences, University of Hohenheim (Germany) Wenping Liu, College of Resources and Environmental Sciences, China Agriculture University (China) He Xiao, College of Resources and Environmental Sciences, China Agriculture University (China) Zhenrong Yu, College of Resources and Environmental Sciences, China Agriculture University (China) Reiner Doluschitz, Computer Applications and Business Management in Agriculture, Faculty of Agricultural Sciences, University of Hohenheim (Germany) Seminar (5)-02 Toward the Construction of an Evaluation System for the Effects of Climate Change on Agriculture in the Asian Monsoon Region Kei Tanaka, Agroinformatics Division, NARO Agricultural Research Center (NARO/ARC) Japan (Japan) Takuji Kiura, Agroinformatics Division, NARO Agricultural Research Center (NARO/ARC) Japan (Japan) Hiroe Yoshida, Agroinformatics Division, NARO Agricultural Research Center (NARO/ARC) Japan (Japan) 020 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Seminar (5)-03 Modelling the Production Potential of Chinese Cabbage in the North China Plain Til Feike, Institute of Crop Science, Universität Hohenheim (Germany) Sebastian Munz, Institute of Crop Science, Universität Hohenheim (Germany) Qing Chen, College of Natural Resources and Environmental Sciences, China Agricultural University (China) Simone Graeff-Hönninger, Institute of Crop Science, Universität Hohenheim (Germany) Wilhelm Claupein, Institute of Crop Science, Universität Hohenheim (Germany) Reiner Doluschitz, Institute of Farm Management, Universität Hohenheim (Germany) Seminar (5)-04 Validation and Perfecting of Rapeseed Growth Models in Nanjing Hongxin Cao, Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agriculture, Jiangsu Academy of Agricultural Sciences (China) Yan Liu, Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agriculture, Jiangsu Academy of Agricultural Sciences (China) Wenyu Zhang, Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agriculture, Jiangsu Academy of Agricultural Sciences (China) Daokuo Ge, Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agriculture, Jiangsu Academy of Agricultural Sciences (China) Yanbin Yue, Institute of Agricultural Sci-tech Information, Guizhou Academy of Agricultural Sciences (China) Yongxia Liu, Institute of Banana and Plantain/Haikou Experimental Station, Chinese Academy of Tropical Agricultural Sciences (China) Jinying Sun, Agricultural Technological Extensive Station of Luntai County in Xinjiang (China) Zhiyou Zhang, Institute of Agricultural Sci-tech Information, Hunan Academy of Agricultural Sciences (China) Yuli Chen, Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agricul , Jiangsu Academy of Agricultural Sciences (China) Weixin Zhang, Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agricul , Jiangsu Academy of Agricultural Sciences (China) Na Liu, Center for China Meteorological Information, China Meteorological Bureau (China) Seminar (5)-05 A Study on the Relationship between the Number of Oriental Fruit Fly (Bactrocera Dorsalis (Hendel)) Trap Catches and the Rate of Fruit Damage Li-Hsin Huang, Pesticide Application Division, Taiwan Agricultural Chemicals and Toxic Substances Research Institute (Taiwan) Wen-Hua Chen, Department of Plant Medicine, National Pingtung University of Science and Technology (Taiwan) Mei-Chueh Lin, Pesticide Application Division, Taiwan Agricultural Chemicals and Toxic Substances Research Institute (Taiwan) Wen-Ying Su, Pesticide Application Division, Taiwan Agricultural Chemicals and Toxic Substances Research Institute (Taiwan)
021 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
13:40-15:00 Seminar (6)- Sensor Research (1) 5F, Room 503 Chair: Takuji Kiura, National Agriculture and Food Research Organization (Japan) Seminar (6)-01 Rice Growth Monitoring and Yield Forecasting by Disaggregating Moderate Resolution Imaging Spectroradiometer (MODIS) Data Yi-Ping Wang, Department of Soil and Environmental Sciences, National Chung-Hsing University (Taiwan) Chun-Shien Wu, Department of Soil and Environmental Sciences, National Chung-Hsing University (Taiwan) Pei-Lin Lee, Department of Soil and Environmental Sciences, National Chung-Hsing University (Taiwan) Yuan Shen, Department of Soil and Environmental Sciences, National Chung-Hsing University (Taiwan) Seminar (6)-02 Survey of Agricultural Ponds in Taoyuan Plateau by Satellite Imagery and Air Photography Chih-Hung Tan, Resources Division, Agricultural Engineering Research Center (Taiwan) Chia-Sheng Hsu, Engineering Division, Hsin Chu Irrigation Association (Taiwan) Li Chen, Civil Engineering Department, Chung Hua University (Taiwan) Seminar (6)-03 Design of Wireless Monitoring and Image Capturing System based on ZigBee for Agricultural Greenhouse Wen-Yaw Chung, Department of Electronics Engineering, Chung Yuan Christian University (Taiwan) Chien-Lin Chen, Department of Electronics Engineering, Chung Yuan Christian University (Taiwan) Seminar (6)-04 Geo-Locational Sensor Based Services in Agriculture Adinarayana Jagarlapudi, Centre of Studies in Resource Engineering, Indian Institute of Technology Bombay (India) S.A. Sawant, Centre of Studies in Resource Engineering, Indian Institute of Technology Bombay (India) S.S. Durbha, Centre of Studies in Resource Engineering, Indian Institute of Technology Bombay (India) A.K. Tripathy, Centre of Studies in Resource Engineering, Indian Institute of Technology Bombay (India) Seminar (6)-05 A Decision Making Framework for Developing Agricultural Wireless Sensor Network Systems Mohammad Fajar, Department of Advanced Information Technology, Graduate School of Information Science and Electrical Engineering, Kyushu University (Japan) Tsuneo Nakanishi, Department of Advanced Information Technology, Faculty of Information Science and Electrical Engineering, Kyushu University (Japan) Kenji Hisazumi, System LSI Research Center, Kyushu University (Japan) Akira Fukuda, Department of Advanced Information Technology, Faculty of Information Science and Electrical Engineering, Kyushu University (Japan)
022 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
13:40-15:00 Seminar (7)- ICT Adoption 5F, Room 504 Chair: Tien-Yin Chou, Feng Chia University (Taiwan) Seminar (7)-01 e-Initiative for Agricultural Extension: Browsing for Logout? Saravanan Raj, School of Social Sciences, College of Post Graduate Studies, Central Agricultural University (CAU) (India) Seminar (7)-02 An Assessment of Farmer＇s Information Networks in India- Role of Modern ICT Surabhi Mittal, International Maize and Wheat Improvement Center (CIMMYT) India (India) Mamta Mehar, International Maize and Wheat Improvement Center (CIMMYT) India (India) Seminar (7)-03 A Centralized Subscription and Clientele Management System for Agricultural Extension Programs Jiannong Xin, Office of Information Technology, University of Florida/IFAS (United States) Haufeng Jin, Department of Computer Science, University of Florida (United States) Pete Vergot III, University of Florida/IFAS Extension (United States) Theresa Friday, Santa Rosa County, University of Florida/IFAS (United States) Seminar (7)-04 Information Technology Adoption in Indonesian Agriculture and Agribusiness Setyo Pertiwi, Department of Mechanical and Biosystem Engineering, Bogor Agricultural University (Indonesia) Seminar (7)-05 Youth Mediated Communication (YMC)- Agricultural Technology Transfer to Illiterate Farmers through Their Children Yumi Mori, NPO Pangaean (Japan) Toshiya Takasaki, NPO Pangaean (Japan) Yasukazu Okano, NPO Pangaean (Japan) Tran Ngan Thi Ngan Hoa, Ministry of Agriculture and Rural Development, Vietnam (Vietnam) Takaharu Kameoka, Graduate School of Bioresources, Mie University (Japan) Takashi Togami, Graduate School of Bioresources, Mie University (Japan) Kyoshuke Yamamoto, Graduate School of Bioresources, Mie University (Japan) Akane Takezaki, National Agricultural Research Center (Japan) Ryoich Ikeda, Tokyo University of Agriculture (Japan) Toru Ishida, Kyoto University (Japan) Donghui Lin, Kyoto University (Japan) Seishi Ninomiya, Institute for Sustainable Agro-ecosystem Services, The University of Tokyo (Japan)
13:40-15:00 Seminar (8)- Decision Support Systems (1) 5F, Room 505 Chair: Hwang-Jaw Lee, Chien Hsin University of Science and Technology (Taiwan) Seminar (8)-01 Agricultural Weather Inquiry System Ming-Hwi Yao, Agricultural Engineering Division, Taiwan Agricultural Research Institute (Taiwan) Chun-Jen Chen, Agricultural Engineering Division, Taiwan Agricultural Research Institute (Taiwan)
023 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Seminar (8)-02 Establishment of the Rational Fertilization Promotion Website Tsang-Sen Liu, Division of Agricultural Chemistry, Taiwan Agricultural Research Institute (Taiwan) Yu-Wen Lin, Division of Agricultural Chemistry, Taiwan Agricultural Research Institute (Taiwan) Horng-Yuh Guo, Division of Agricultural Chemistry, Taiwan Agricultural Research Institute (Taiwan) Seminar (8)-03 Study on Management Support System of Crops of Taiwan Shi-Hua Yang, Agricultural Economics Division, Taiwan Agricultural Research Institute (Taiwan) Chun-Tang Lu, Crop Science Division, Taiwan Agricultural Research Institute (Taiwan) Kuo-I Chang, Department of Applied Economics, National Chung Hsing University (Taiwan) Tsai-Ping Chang, Agricultural Economics Division, Taiwan Agricultural Research Institute (Taiwan) Yuan-Jun Chen, Agricultural Economics Division, Taiwan Agricultural Research Institute (Taiwan) Seminar (8)-04 Information Platform for the International Floriculture Industry Cheng-Yen Tsai, Technical Service Division and Agricultural Economics Division, Taiwan Agricultural Research Institute (Taiwan) Tsai-Ping Chang, Technical Service Division and Agricultural Economics Division, Taiwan Agricultural Research Institute (Taiwan) Hsiu-E Chiang, Technical Service Division and Agricultural Economics Division, Taiwan Agricultural Research Institute (Taiwan) Seminar (8)-05 The Establishment and Application of Decision Support System of Selecting Elite Holstein Dairy Bull for Mating to Improve Progeny Performance Ji-Yi Chen, Department of animal science, Hsinchu Branch, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Kuo-Hua Lee, Department of animal science, Hsinchu Branch, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Chu-Li Chang, Department of animal science, Hsinchu Branch, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Seminar (8)-06 Development of Feature Extraction and Pattern Recognition Programs for Similarity Evaluations of Phalaenopsis Flowers Shao-Peng Huang, Technical Service Section, Taiwan Seed Improvement and Propagation Station, Council of Agriculture, the Executive Yuan (Taiwan) Ming-Yenn Chou, Technical Service Section, Taiwan Seed Improvement and Propagation Station, Council of Agriculture, the Executive Yuan (Taiwan) Lih-Guong Jang, Information & Communication Technology Department, Industrial Technology Research Institute (Taiwan)
024 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
15:30-16:50 Seminar (9)- Standardization & Interoperability 5F, Room 502 Chair: Bela Csukas, Kaposvar University (Hungary) Seminar (9)-01 Proposal of Agricultural Data Integration System based on Semantic MediaWiki Takuji Kiura, Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Tomokazu Yoshida, Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Kei Tanaka, Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Masaaki Omine, Kyusyu Okinawa Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Shigehiro Honda, Mitsubishi Space Software CO.,LTD. (Japan) Seminar (9)-02 Metadata Providing from Content of Local Archives for Central Agriculture and Aquaculture Repository Michal Stoces, Department of Information Technology, Faculty of Economics and Management, Czech University of Life Sciences Prague (Czech Republic) Pavel Simek, Department of Information Technology, Faculty of Economics and Management, Czech University of Life Sciences Prague (Czech Republic) Jan Jarolimek, Department of Information Technology, Faculty of Economics and Management, Czech University of Life Sciences Prague (Czech Republic) Jiri Vanek, Department of Information Technology, Faculty of Economics and Management, Czech University of Life Sciences Prague (Czech Republic) Seminar (9)-03 Monitoring System with Flexibility and Movability Functions for Collecting Target Images in Detail Tokihiro Fukatsu, Agroinformatics Division, Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Masayuki Hirafuji, Memuro Upland Farming Research Station, Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Takuji Kiura, Agroinformatics Division, Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Seminar (9)-04 Incremental Dynamic Simulation and Web Based Cooperative Organization for Agrifood Actors and Governmental Authorities Monika Varga, Department of Information Technology , Kaposvar University (Hungary) Sandor Balogh, Department of Information Technology , Kaposvar University (Hungary) Bela Csukas, Department of Information Technology , Kaposvar University (Hungary) Seminar (9)-05 Cyberinfrastructure for the Long-Term Ecological Research on the Agricultural Ecosystem Yueh-Kuei Chan, Agricultural Chemistry Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Chi-Ling Chen, Division of Agricultural Chemistry, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Hong-Shu Wu, Department of Agronomy, Chiayi Agricultural Experiment Branch, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Chin-Ching Lin, Crop Environment Division, Tainan District Agriculture Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan) 025 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Win-Chang Sun, Yunlin Branch Farm, Tainan District Agriculture Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan) Ping-Chun Hou, Department of Life Sciences, National Cheng Kung University (Taiwan) Ming-Hwi Yao, Agricultural Engineering Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Jen-Kuan Shii, Technical Service Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Chien-Wen Chen, Botanical Garden Division, Taiwan Forestry Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Chau-Chin Lin, Forest Protection Division, Taiwan Forestry Research Institute (Taiwan)
15:30-16:50 Seminar (10)- Decision Support Systems (2) 5F, Room 503 Chair: Naoshi Kondo, Kyoto University (Japan) Seminar (10)-01 A Decision Support System for Palm Oil Based Industrial Planning in Sumatera Economic Corridor Hermawan Prasetya, Center for Assessment of Policies for Competitiveness Enhancement, National Agency for Assessment and Application of Technology (Indonesia) Yandra Arkeman, Department of Agroindustrial Technology, Bogor Agricultural University (Indonesia) Seminar (10)-02 Apollo: Ration Formulation and Analysis Programs for Swine James W. Oltjen, Department of Animal Science, University of California Davis (United States) Abbas Ahmadi, Department of Animal Science, University of California Davis (United States) Seminar (10)-03 Grazing Module for Dairy Cows Abbas Ahmadi, Department of Animal Science, University of California Davis (United States) Pablo Chilibroste, Departamento Producción Animal y Pasturas, Estación experimental Mario A. Cassinoni (EEMAC), Universidad de la República (United States) Peter H. Robinson, Department of Animal Science, University of California Davis (United States) Seminar (10)-04 Evaluation of Fecal Coliform Samples from Pensacola Bay, Florida (USA) Using Pearl Sanitation Model Fred S. Conte, University of California Davis (United States) Abbas Ahmadi, Department of Animal Science, University of California Davis (United States) Seminar (10)-05 Design of Cocoa Beans Transportation Model by Using Fuzzy Integer Transpotation Iphov Kumala Sriwana, Industrial Engineering Department, Esa Unggul University, Indonesia (Indonesia) Yandra Arkeman, Agro-Industrial Technology, Bogor Agriculture Institute Indonesia (Indonesia)
026 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
15:30-16:50 Seminar (11)- Applications for Agriculture (1) 5F, Room 504 Chair: Atsushi Hashimoto, Mie University (Japan) Seminar (11)-01 A Framework to Develop Content for Improving Agromet Advisories Mahadevaiah M, Agro Climate Research Centre, Acharya NG Ranga Agricultural University (India) Raji Reddy D., Agro Climate Research Centre, Acharya NG Ranga Agricultural University (India) Sasikala G., Agro Climate Research Centre, Acharya NG Ranga Agricultural University (India) Sreenivas G., Agro Climate Research Centre, Acharya NG Ranga Agricultural University (India) Krishna Reddy P., IT for Agriculture and Rural Development Research Centre (India) Bhaskar Reddy B., IT for Agriculture and Rural Development Research Centre (India) K. Nagarani, IT for Agriculture and Rural Development Research Centre (India) Rathore LS, India Meteorological Department, India (India) Singh KK, India Meteorological Department, India (India) Chattopadhyay N, India Meteorological Department, India (India) Seminar (11)-02 Application of Laboratory Information Management System in Tea Pesticide Analysis Laboratory Chia Chang Wu, Wunshan Branch, Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan) Hsiao Ying Yang, Tungting Station of Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan) Ya Hui Chuang, Tungting Station of Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan) Yu Ju Huang, Nantou Pesticides Inspection Station of Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan) Li Chen Lin, Tungting Station of Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan) Ming Lun Xie, Nantou Pesticides Inspection Station of Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan) Iou Zen Chen, Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan) Seminar (11)-03 Current Status and Outlook of the Taiwan Agricultural Pest and Natural Enemy Database and Query System Shiuh-Feng Shiao, Department of Entomology, National Taiwan University (Taiwan) Ray, Ruey-Jang Chang, Plant Protection Division, Bureau of Animal and Plant Health Inspection and Quarantine, Council of Agriculture, Executive Yuan (Taiwan) Chi-Yu Chen, Department of Plant Pathology, National Chung-Hsing University (Taiwan) Ling-Ming Hsu, Division of Public Threat Control, Taiwan Agricultural Chemicals and Toxic Substances Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Ting-Chin Deng, Plant Pathology Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Shu-Pei Chen, Applied Zoology Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Shan-Jen Fang, Technical Service Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan) 027 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Seminar (11)-04 Application of RFID System in Production Management for Floor-Raised Poultry Breeders Chu-Yang Chou, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Yan-Nian Jiang, Department of Animal Science and Technology, National Taiwan University (Taiwan) Jui-Jen Chou, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Chien-Yu Chen, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) An-Chi Liu, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Jeng-Fang Huang, Yi-Lan Branch, Livestock Research Institute, Council of Agriculture, the Executive Yuan (Taiwan) Hsiu-Chou Liu, Yi-Lan Branch, Livestock Research Institute, Council of Agriculture, the Executive Yuan (Taiwan)
15:30-16:50 Seminar (12)- Sensor & RFID Applications 5F, Room 505 Chair: Joe-Air Jiang, National Taiwan University (Taiwan) Seminar (12)-01 Application of Radio Frequency Identification (RFID) Technology in Dairy Herd Electronic Management Chu-li Chang, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan) Ssu-Han Wang, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan) Kuo-Hua Lee, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan) Seminar (12)-02 Application of RFID in the Production Traceability of Native Chicken Hsiao-lung Liu, Animal Industry Division, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Ting-li Liu, Animal Information Planning Section, Council of Agriculture, Executive Yuan (Taiwan) Yih-fwu Lin, Animal Industry Division, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Che-ming Hung, Animal Industry Division, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Chao-hsien Hsieh, Animal Industry Division, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Yu-shin Cheng, Deputy Director’s Office, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Liang-yuan Wang, Department of Food Science, Tunghai University Department (Taiwan)
028 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Seminar (12)-03 Application of a Wireless Sensor Network (WSN) to Enhance Dairy Farm Management Efficiency Ssu-Han Wang, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan) Kuo-Hua Lee, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan) Chun-Chieh Chiang, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan) Fang-Chun Hsiao, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan) Jiun-Shiuan Chao, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan) Chu-Li Chang, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan) Seminar (12)-04 Application of Solar Wireless Sensor Network to Monitor Water-Quality in Cage Aquaculture Zone in the Inner Sea at Penghu, Taiwan Yi-Lin Lu, Penghu Marine Biology Research Center, Fisheries Research Institute (Taiwan) Chi-Yuan Lin, Planning and Information Division, Fisheries Research Institute (Taiwan) Wann-Sheng Tsai, Penghu Marine Biology Research Center, Fisheries Research Institute (Taiwan) Seminar (12)-05 Feasibility Evaluation of Employing Digitized Management on the Distribution Logistics of Fresh Mushroom Jyh-Rong Tsay, Secretary General Office, Taiwan Agricultural Research Institute (Taiwan) Chih-Kai Yang, Agricultural Engineering Division, Taiwan Agricultural Research Institute (Taiwan)
029 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Wednesday, September 5, 2012 09:00-10:40 Workshop (4)- ICT Training and Education B1, Seminar Room Chair: Fedro Zazueta, University of Florida (USA) Workshop (4)-01 ICT Education and Training in Agriculture Tran Viet Khanh, Thai Nguyen University (Vietnam) Workshop (4)-02 Survey of Agricultural Ponds in Taoyuan Plateau by Satellite Imagery and Air Photography Chih-Hung Tan, Agricultural Engineering Research Center (Taiwan) Workshop (4)-03 ICT Training and Education for Agricultural Development Saravanan Raj, Central Agricultural University (India) Workshop (4)-04 Moving Toward Mobile Delivery of Extension Education and Applications Jiannong Xin, University of Florida (USA)
11:10-12:10 Seminar (13)- Data Mining 5F, Room 502 Chair: Ariangelo Hauer Dias Ariangelo, State University of Ponta Grossa (Brazil) Seminar (13)-01 Impact Assessment of Agricultural Watersheds Using Geospatial Data Mining Techniques: A Conceptual Framework Sreedhar Acharya Nallan, School of Computer and Security Science, Edith Cowan University (Australia) Leisa J. Armstrong, School of Computer and Security Science, Edith Cowan University (Australia) Seminar (13)-02 Data Mining Software Tools to Improve Water Catchment and Agricultural Land Management in Australia Leisa Armstrong, School of Computer and Security Science, Edith Cowan University (Australia) Aiden Sehovic, School of Computer and Security Science, Edith Cowan University (Australia) Dean Diepeveen, Department of Agriculture and Food, Western Australia (Australia) Neil Dunstan, University of New England (Australia) Seminar (13)-03 Palm Oil Fruit Classification Using Component Analysis Approach Lily Amelia, Department of Industrial Engineering, Faculty of Engineering, University of Esa Unggul (Indonesia) Muhammad Ridwan Andi Purnomo, Department of Industrial Engineering, Faculty of Engineering, Indonesia Islamic University (Indonesia) Seminar (13)-04 Quality Evaluation and Cultivar Identification of Strawberry Using Image Analysis Kyosuke Yamamoto, Graduate School of Agricultural and Life Sciences, The University of Tokyo (Japan) Seishi Ninomiya, The University of Tokyo (Japan) Yosuke Yoshioka, National Agriculture and Food Research Organization (Japan) Takashi Togami, Graduate School of Bioresources, Mie University (Japan) Atsushi Hashimoto, Graduate School of Bioresources, Mie University (Japan) Takaharu Kameoka, Graduate School of Bioresources, Mie University (Japan)
030 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
11:10-12:10 Seminar (14)- e-Agricultural Services (2) 5F, Room 503 Chair: Ta-Te Lin, National Taiwan University (Taiwan) Seminar (14)-01 Design and Application of Farming Visualization System FVS for Human Resources Development in Agriculture Teruaki Nanseki, Faculty of Agriculture, Kyushu University (Japan) Yoshitaka Fujii, Shiga Prefectural Agricultural Technology Promotion Center (Japan) Katsuyoshi Watanabe, FUJITSU KYUSHU SYSTEMS LIMITED (FJQS) (Japan) Shigeyoshi Takeuchi, Faculty of Agriculture, Kyushu University (Japan) Seminar (14)-02 Print On Demand (POD) System for Customer Service of Agricultural Books Jeong Hye Park, Agricultural Science Library, Knowledge & Information Officer Division, Rural Development Administration(RDA) (South Korea) Kil Seob Lee, Agricultural Science Library, Knowledge & Information Officer Division, Rural Development Administration(RDA) (South Korea) Jeung Sang Ryu, Agricultural Science Library, Knowledge & Information Officer Division, Rural Development Administration(RDA) (South Korea) Yoo Jeong Lee, Agricultural Science Library, Knowledge & Information Officer Division, Rural Development Administration(RDA) (South Korea) Man Hee Han, Agricultural Science Library, Knowledge & Information Officer Division, Rural Development Administration(RDA) (South Korea) Seminar (14)-03 Plant Quarantine Pest Query System Shu-Pei Chen, Division of Applied Zoology, Agricultural Research Institute, COA (Taiwan) Wen-Jen Wu, Research Center for Plant Medicine, National Taiwan University (Taiwan) Seminar (14)-04 Taiwan Agricultural Research Institute Insect Specimens Digital Archives Shu-Pei Chen, Division of Applied Zoology, Agricultural Research Institute, COA (Taiwan)
11:10-12:10 Seminar (15)- GIS Applications (2) 5F, Room 504 Chair: Bruno Basso, University of Basilicata (Italy) Seminar (15)-01 Applying ArcGIS Online for Establishing Hanoi Agriculture Map Thanh Xuan Nguyen, Geography Department, Hanoi National University of Education (Vietnam) Tien – Yin Chou, GIS Research Center, Feng Chia University (Taiwan) Thanh Van Hoang, PhD program Civil and Hydraulic Engineering, Feng Chia University, Taiwan (Taiwan) Seminar (15)-02 Simulation Impact of Climate Change on Agriculture Land-Use Sustainability Using Salus- WebGIS: Case Study in Northern Vietnam Hoang Thanh Van, Civil and Hydraulic Engineering Program, Feng Chia University (Taiwan) Tien Yin Chou, GIS research Center, Feng Chia University (Taiwan) Chih Yuan Chien, GIS Research Center, Feng Chia University (Taiwan) Viet Khanh Tran, Thai Nguyen University (Vietnam)
031 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Seminar (15)-03 Geographic Information Data Establishment and Applications for Irrigation Associations in Taiwan Huang-Hsiang Chan, Information division, Agricultural engineering research center (Taiwan) Yi-Chien Tsai, Information division, Agricultural engineering research center (Taiwan) Chih-Hung Tan, Resources division, Agricultural engineering research center (Taiwan) Yi-Fong Ho, Department of irrigation and engineering, Council of Agricultural, Executive Yuan (Taiwan) Seminar (15)-04 Land Cover Database of Farmlands of Taiwan Lun-ping Su, Agricultural Chemistry Division, Taiwan Agricultural Research Institute (Taiwan) Horng-yuh Guo, Agricultural Chemistry Division, Taiwan Agricultural Research Institute (Taiwan)
13:40-15:00 Seminar (16)- Computer Based Data Analysis 5F, Room 502 Chair: Leisa Armstrong, Edith Cowan University (Australia) Seminar (16)-01 Application of PCRaster for Spatial Productivity Analysis of Tropical Apple (Malus Sylvestris Mill) cv. Manalagi in Relation to Temperature Syukur Makmur Sitompul, Faculty of Agriculture, The University of Brawijaya (Indonesia) Sitawati Widodo, Faculty of Agriculture, The University of Brawijaya (Indonesia) Yogi Sugito, Faculty of Agriculture, The University of Brawijaya (Indonesia) Seminar (16)-02 The Readout System and Chip Implementation for Chlorophyll Contents Meter Che-Min Lee, Electronics Department, Chung Yuan Christian University (Taiwan) Wen-Yaw Chung, Electronics Department, Chung Yuan Christian University (Taiwan) Seminar (16)-03 Developing Marginal Abatement Cost Curve for Greenhouse Gas Emission from Summer Maize in the North China Plain Nan Ha, Institute for Farm Management, Department of Farm Management, University of Hohenheim (Germany) Enno Bahrs, Institute of Farm Management, University of Hohenheim (Germany) Haifeng Xiao, College of Economics and Management, China Agricultural University (China) Seminar (16)-04 Change Point Analysis for Environmental Information in Agriculture Takashi Okayasu, Division of Agro-environmental Sciences, Kyushu University (Japan) Muneshi Mitsuoka, Division of Agro-environmental Sciences, Kyushu University (Japan) Andri P. Nugroho, Graduate School of Bioresource and Bioenvironmental Science, Kyushu University (Japan) Hiromichi Yoshida, Graduate School of Bioresource and Bioenvironmental Science, Kyushu University (Japan) Teruaki Nanseki, Division of Agro-environmental Sciences, Kyushu University (Japan) Eiji Inoue, Division of Agro-environmental Sciences, Kyushu University (Japan) Seminar (16)-05 The Role of Weather Information on Yield Performance of Carrot Production - Empirical Evidence from Field Data in Yunlin County Shu-Hua Lin, Department of Science and Technology, APEC Research Center for Typhoon and Society (Taiwan) Ching-Cheng Chang, Department of Socio-Economics, APEC Research Center for Typhoon and Society, Academia Sinica (Taiwan) 032 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Shih-Hsun Hsu, Department of Agricultural Economics National Taiwan University (Taiwan) Emma Huang, Department of Socio-Economics APEC Research Center for Typhoon and Society (Taiwan)
13:40-15:00 Seminar (17)- ICT Adoption & Education 5F, Room 503 Chair: Saravanan Raj, Central Agricultural University (India) Seminar (17)-01 The Challenge of ICT Utilization for Teaching and Learning at Bogor Agricultural University (BAU), Bogor, Indonesia: Past, Present, and Future Widharto Widharto, Bogor Agricultural University, Darmaga Campus (Indonesia) Seminar (17)-02 ICTs for Agricultural Extension in India: Policy Implications for Developing Countries Saravanan Raj, School of Social Sciences, College of Post Graduate Studies, Central Agricultural University (CAU) (India) Seminar (17)-03 Questionnaire Analysis to Improve OJT in Agricultural High Schools in Japan Makoto Okada, Graduate School of Science, Osaka Prefecture University (Japan) Teruo Akai, Tokushima Chamber of Agriculture (Japan) Tomoyoshi Maruyama, Tokushima Chamber of Agriculture (Japan) Seminar (17)-04 Internet as a Tool for Higher Education and Research in Agricultural Sciences M. A. Zaman, Department of Farm Power and Machinery, Bangladesh Agricultural University (Bangladesh) S. M. Iqbal Hossain, Faculty of Agriculture, Bangabandhu Sheikh Mujibur Rahman Agricultural University (Bangladesh) Seminar (17)-05 College Students＇ Agricultural Beliefs and the Comparison between Departments and Grades Yi-Chen Kao, Graduate Institute of Environmental Education, National Taiwan Normal University (Taiwan) Shun-Mei Wang, Graduate Institute of Environmental Education, National Taiwan Normal Universit (Taiwan)
13:40-15:00 Seminar (18)- Sensor Research (2) 5F, Room 504 Chair: Takaharu Kameoka, Mie University (Japan) Seminar (18)-01 Using QR Codes for Context Specific Support around the Farm Jens Peter Hansen, Business Development, Knowledge Centre for Agriculture (Denmark) Seminar (18)-02 Development and Application of Mobile Traceability Data Construction for Agriculture Yu-Chuan Liu, Department of Information Management, Tainan University of Technology (Taiwan) Hongmei Gao, Department of Economic Management, Tianjin Agricultural University (China) Xiaolin Zhang, Department of Economic Management, Tianjin Agricultural University (China)
033 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Seminar (18)-03 A Remote Monitoring System for Plant Frost Detection in High Altitude Areas Yu-Sheng Tseng, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Min-Sheng Liao, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Yan-Fu Kuo, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Ming-Tzu Chiou, Wenshan Branch, Taiwan Tea Experiment Station, Council of Agriculture, Executive Yuan (Taiwan) Tzu-Shiang Lin, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Chung-Wei Yen, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Joe-Air Jiang, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Seminar (18)-04 A Routing Algorithm Designed for Wireless Sensor Networks: Balanced Load-Latency Convergecast Tree with Dynamic Modification Sheng-Cong Hu, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Jen-Hou Liu, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Min-Sheng Liao, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Cheng-Long Chuang, Intel-NTU Connected Context Computing Center, National Taiwan University (Taiwan) Kun-Yaw Ho, Chia-Yi Agriculture Experiment Station, Council of Agriculture, Executive Yuan, Taiwan (Taiwan) Ju-Min Yang, Chia-Yi Agriculture Experiment Station, Council of Agriculture, Executive Yuan, Taiwan (Taiwan) Joe-Air Jiang, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Seminar (18)-05 An Auto-Trapping Device with the Light Luring Mechanism for SPODOPTERA LITURA Monitoring Wen-Shian Tsai, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Yu-Sheng Tseng, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Min-Sheng Liao, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Jyh-Cherng Shieh, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)
034 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Chia-Pang Chen, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Yan-Fu Kuo, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan) Joe-Air Jiang, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)
15:30-16:50 Seminar (19)- Nature Protection 5F, Room 502 Chair: Til Feike, Universität Hohenheim (Germany) Seminar (19)-01 Integrated Scenario Development for Sustainable Land and Water Use along the Tarim River, Xinjiang, China Til Feike, Institute of Crop Science, Universität Hohenheim (Germany) Michael Kusi Appiah, Institute of Farm Management, Universität Hohenheim (Germany) Yusuyunjiang Mamitimin, Institute of Farm Management, Universität Hohenheim (Germany) Lin Li, College of Water Resources and Architectural Engineering, Tarim University (China) Reiner Doluschitz, Institute of Farm Management, Universität Hohenheim (China) Seminar (19)-02 Information System for Monitoring Natural Resource Use by Agriculture in a State Vasant Gandhi, Indian Institute of Management (India) Anita Gandhi, Maitri Designs (India) Seminar (19)-03 Environmental Monitoring of Village Contaminated by Radionuclides Masaru Mizoguchi, Graduate School of Agricultural and Life Sciences, The University of Tokyo (Japan) Tetsu Ito, Division of Sensor Networking, X-Ability Co., Ltd. (Japan) Daiki Kobayashi, Graduate School of Agricultural and Life Sciences, The University of Tokyo (Japan) Seminar (19)-04 An Integrated Automatic Monitoring System to Study Overwintering Purple Crow Butterflies and Their Overwintering Habitats in Southern Taiwan Jung-Tai Chao, Taiwan Forestry Research Institute (Taiwan) Chau-Chin Lin, Taiwan Forestry Research Institute (Taiwan) Hung-Jen Lin, Taiwan Forestry Research Institute (Taiwan) Chi-Li Chiang, Taiwan Forestry Research Institute (Taiwan) Yun-Shu Yu, Taiwan Forestry Research Institute (Taiwan) Hung-Chang Lu, Taiwan Forestry Research Institute (Taiwan)
035 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
15:30-16:50 Seminar (20)- Applications for Agriculture (2) 5F, Room 503 Chair: Jiannong Xin, University of Florida (USA) Seminar (20)-01 Development of a Non-Destructive Detector of Unsuitable Chicken Eggs for Use in Influenza Vaccine Production Kohei Kimura, Graduate School of Science and Technology, Niigata University (Japan) Kazuhiro Nakano, Graduate School of Science and Technology, Niigata University (Japan) Ohashi, Graduate School of Science and Technology, Niigata University (Japan) Takizawa, Graduate School of Science and Technology, Niigata University (Japan) Nakano, Kagoshima Immaculate Heart University (Japan) Seminar (20)-02 Variable Rate Fertilizer Applicator based on AVR Microcontroller Praeko Agus Setiawan Radite, Department of Mechanical and Biosystem Engi., Fac. of Agric Eng. and Technology, Bogor Agricultural University (Indonesia) M. Tahir Sapsal, Agricultural and Food Machinery Study Program, Graduate School, Bogor Agricultural University (Indonesia) Pandu Gunawan, Agricultural and Food Machinery Study Program, Graduate School, Bogor Agricultural University (Indonesia) Wawan Hermawan, Department of Mechanical and Biosystem Engi., Fac. of Agric Eng. and Technology, Bogor Agricultural University (Indonesia) Bregas Budiyanto, Department of Meteorology and Geophysics, Fac. of Mathematics and Natural Sciences, Bogor Agricultural University (Indonesia) Seminar (20)-03 Development of Intelligent Control System for Greenhouse Andri Prima Nugroho, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University (Indonesia) Takashi Okayasu, Division of Agro-environmental Sciences, Kyushu University (Japan) Hajime Fushihara, Naturalstep Inc. (Japan) Osamu Hirano, Intellectual Property Management Center Kyushu University (Japan) Muneshi Mitsuoka, Division of Agro-environmental Sciences, Kyushu University (Japan) Eiji Inoue, Division of Agro-environmental Sciences, Kyushu University (Japan) Seminar (20)-04 Simple and Rapid Measurement of Nitrate Nitrogen Content in Plant Using Mid-Infrared Spectroscopic Method Atsushi Hashimoto, Department of Sustainable Resource Sciences, Mie University (Japan) Daisuke Kihara, Department of Sustainable Resource Sciences, Mie University (Japan) Ken-ichiro Suehara, Department of Sustainable Resource Sciences, Mie University (Japan) Takaharu Kameoka, Department of Sustainable Resource Sciences, Mie University (Japan) Takao Kumon, Research Institute, Kagome Co., Ltd. (Japan)
15:30-16:50 Seminar (21)- Modeling & Simulation (2) 5F, Room 504 Chair: Kudang Boro Seminar, Bogor Agricultural University (IPB) (Indonesia) Seminar (21)-01 Automated LED Lighting Compensation System for Shortening the Plant Growth Period Wen-Yaw Chung, Department of Electronics Engineering, Chung Yuan Christian University (Taiwan) Po-Tsun Chen, Department of Electronics Engineering, Chung Yuan Christian University (Taiwan) 036 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Seminar (21)-02 The Study on the Integration of Crop Model, Spatial Soil Water Balance Model and Hydrological Model Tien-Yin Chou, Geographic information system research center,Feng Chia University (Taiwan) Chih Yuan Chien, GIS Research Center, Feng Chia University (Taiwan) Bruno Basso, Dept. Crop, Forest and Environ. Sciences, University of Basilicata (Italy) Mei-Ling Yeh, Geographic information system research center, Feng Chia University (Taiwan) Seminar (21)-03 Statistical Downscaling Model Based-On Support Vector Regression to Predict Monthly Rainfall: A Case Study in Indramayu District Agus Buono, Department of Computer Science, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University, Center for Climate Risks and Opportunity Management in Southeast Asia and Pacific (Indonesia) Muhammad Asyhar Agmalaro, Department of Computer Science, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University (Indonesia) Mushthofa Mushthofa, Department of Computer Science, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University (Indonesia) Muhammad Faqih, Department of Agro-meteorology, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University (Indonesia) Seminar (21)-04 Achieving Competitive Advantage for Agribusiness through Supply Chain Management a System Dynamics Simulation and SCOR Model Approach Hoetomo Lembito, Doctoral Program in Business Management, Graduate School of Management and Business - Bogor Agricultural University (IPB) (Indonesia) Kudang Boro Seminar, Department of Mechanical & Biosystem Engineering, Faculty of Agricultural Technology (Fateta), Bogor Agricultural University (IPB) (Indonesia) Nunung Kusnadi, Department of Mechanical & Biosystem Engineering, Faculty of Agricultural Technology (Fateta), Bogor Agricultural University (IPB) (Indonesia) Yandra Arkeman, Department of Agro Industrial Technology, Faculty of Agricultural Technology (Fateta), Bogor Agricultural University (IPB) (Indonesia) Seminar (21)-05 Assessment System Model Design for Indonesian Shrimp Export Product based on Quality Assurance and Food Security Regulation Hartrisari Hardjomidjojo, Department of Agroindustrial Technology, Bogor Agricultural University (Indonesia) Wahyu Fitrianto, Department of Agroindustrial Technology, Bogor Agricultural University (Indonesia)
037 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Poster Session 1F, Room 101 Poster-01 The Application of RFID on the Management of Phalaenopsis Production Ting-En Dai, Floriculture Research Center, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Po-Kuang Chang, Identification and Security Technology Center, Industrial Technology Research Institute (Taiwan) Wei-Ting Tsai, Floriculture Research Center, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Ting-Fang Hsieh, Floriculture Research Center, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Poster-02 Crop Genetic Resources Information System Shu Chen, Division of Plant Germplasm, Taiwan Agricultural Research Institute (Taiwan) Ien-Chie Wen, Division of Plant Germplasm, Taiwan Agricultural Research Institute (Taiwan) Shu-Fen Chang, Chiayi Agricultural Experiment Station, Taiwan Agricultural Research Institute (Taiwan) Poster-03 Building and Implementation Results for the Agricultural Information Mobilization Platform Hong-zong Wu, Information Management Center, Council of Agriculture, Executive Yua (Taiwan) Poster-04 Establishment of Traceability System and Information Website on Minipigs Supply for Biomedical Usage by Introducing RFID Technology Hsien-Pin Chu, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Ling-Wei Yang, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Yong-Yu Lai, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Chun-Ta Chang, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Poster-05 Strengthening the Mobility Aspect of Land Area Survey Systems for Planting Sensitive Crops – Establishing an Image Database with Photo g-Tagging Capability Lien-Yi Hsieh, Agriculture and Food Agency, Council of Agriculture, Executive Yuan (Taiwan) Poster-06 Application of Radio Frequency Identificaiton Technology in Deer Farm Management Hsiao-mei Liang, Kaohsiung Animal Propagation Station, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Hsin-Hong Lin, Kaohsiung Animal Propagation Station, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Shann-Ren Kang, Kaohsiung Animal Propagation Station, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Chih-Hua Wang, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Poster-07 Digital Mobile Management in the Tea Industry
038 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Tien-lin Liu, Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan) Jia-Ru Dai, Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan) Mu-lien Lin, Agricultural Engineering Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan) Poster-08 Application of RFID in Monitoring Egg Production Parameters of Floor-reared Geese Shen-Chang Chang, Changhua Animal Propagation Station, COA-LRI, Department of Animal Science, National Chung Hsing University (Taiwan) Min-Jung Lin, Changhua Animal Propagation Station, COA-LRI, Department of Animal Science, National Chung Hsing University (Taiwan) Yu-Shine Jea, Changhua Animal Propagation Station, COA-LRI, Department of Animal Science, National Chung Hsing University (Taiwan) Yang-Kwang Fan, Department of Animal Science, National Chung Hsing University (Taiwan) Poster-09 The Information Management System on Production of Domestic Forage Crops by Mobile Device Shui-Tsai Chen, Technical Service Division, Livestock Research Institute, Council of Agriculture Executive Yuan (Taiwan) Yeong-Chyn Wang, Technical Service Division, Livestock Research Institute, Council of Agriculture Executive Yuan (Taiwan) Tying-Siyum Hsiao, Technical Service Division, Livestock Research Institute, Council of Agriculture Executive Yuan (Taiwan) Poster-10 Leisure Agriculture and In-depth Travel Tourism — Guide and Marketing Integration Platform Tsang-Sen Liu, Division of Agricultural Chemistry, Taiwan Agricultural Research Institute (Taiwan) Yu-Wen Lin, Division of Agricultural Chemistry, Taiwan Agricultural Research Institute (Taiwan) Horng-Yuh Guo, Division of Agricultural Chemistry, Taiwan Agricultural Research Institute (Taiwan) Poster-11 RFID Usage in Management and Traceability Systems for Egg Containers Yuan-Chen Ou, Department of Bio-Industrial Mechatronics Engineering, National Chung-Hsing University (Taiwan) Kuang-Wen Hsieh, Department of Bio-Industrial Mechatronics Engineering, National Chung- Hsing University (Taiwan) Poster-12 Using ICT on an Automatic Fertigation System for Growing Lisianthus in a Protected Culture in Central Taiwan Ling-His Chen, Taichung District Agriculture Research and Extension Station, Council of Agriculture (Taiwan) Chia-Chung Chen, Department of Bio-industrial Mechatronics Engineering, National Chung- Hsing University (Taiwan) Poster-13 Business Intelligence as Applied to Information Analysis of Agricultural Production and Marketing
039 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Chao-Chien Chen, Intelligent Application Department, Agricultural Informations Business Division, International Integrated Systems, Inc. (Taiwan) Poster-14 Innovative Application of IT Knowledge Management at the Taiwan Public Agriculture Sector Hong-Zong Wu, Council of Agriculture Executive Yuan (Taiwan) Gour-Tsair Pan, Council of Agriculture Executive Yuan (Taiwan) Jane Lin, Affiliation (Taiwan) Rei-Row Hu, Knowledge Workers’ Productivity International BU, Galaxy Software Services Corp. (Taiwan) Jung-Chia Cheng, Knowledge Workers’ Productivity International BU, Galaxy Software Services Corp. (Taiwan) Poster-15 Establishment of National Pests Management System (NPMS) for the Monitoring, Predicting and Control Decision Making of Crop Disease and Insect Pest in Republic of Korea Young-Woong Byeon, Knowledge & Information Officer Division, Rural Development Administration (South Korea) Byeong-Yeon Lee, Knowledge & Information Officer Division, Rural Development Administration (South Korea) Yong-Hwan Lee, Crop & Animal Division, Rural Development Administration (South Korea) Keun-Seop Shim, Knowledge & Information Officer Division, Rural Development Administration (South Korea) Ui-Jeong Im, Knowledge & Information Officer Division, Rural Development Administration (South Korea) Poster-16 Environmental and Economic Assessment of Cotton in the North China Plain Nan Ha, Institute for Farm Management, Department of Farm Management, University of Hohenheim (Germany) Huawen Dai, Institute for Farm Management, Department of Farm Management, University of Hohenheim (Germany) Haifeng Xiao, College of Economics and Management, China Agricultural University (China) Enno Bahrs, Institute for Farm Management, Department of Farm Management, University of Hohenheim (Germany)
040 Asian Federation for Information Technology in Agriculture / World Conference on Computers in Agriculture September 3 – 6, 2012, Taipei, Taiwan
Instruction for Chairs and Speakers Instruction for Chairs First of all, we would like to thank you for your effort to serve as a chair at the AFITA/WCCA 2012 Conference. Followings are for your information on chairing the sessions: 1. Please check speakers’ attendance of your session 15 minutes before it starts. Inform the conference staff (staffs will assist during the whole session time) immediately if speaker(s) does not show up. As the session time is extremely limited for all presentations, you are strongly suggested to brief your introduction of every speaker at your session. 2. In the opening of each session, announce the time for the presentation: Q / A Session Type Total length Presentation (at the end of each presentation) Keynote 50 min. 45 min. each - Workshop 100 min. 25 min. each - Seminar (1)-(4)、(13)-(15) 15 min. 12 min. each 3 min. each Seminar (5)-(12)、(16)-(21) 16 min. 12 min. each 4 min. each 3. There will be a countdown timer sign shown at the corner of the monitor as well as by the staff 3minutes before the end of the allocated presenting time, and another sign (time’s up) shown at the end and speaker shall warp up his/her talk as soon as possible to allow adequate time for Q/A. Microphones will be passed to attendees by staffs during Q&A 4. Please remind attendees to switch the mobile phone off during the congress. 5. Please strictly control the starting time for each presentation according to the conference program in order to be fair to all speakers and to ensure the smooth proceeding of each session. 6. In the closing of the session, please announce the starting time for the next session. Instruction for Speakers Preparation for Oral Presentation Each meeting room will be equipped with a Notebook installed with Window XP and a LCD projector. It is advised that all speakers use the notebook provided to prevent the problem of connectivity and save the time for installation. As all notebooks provided are installed with Microsoft Office, all speakers are required to prepare the slides in Microsoft PowerPoint format (version 2003 or later version). Use the horizontal profile to fill the screen and make sure all movies / fonts are supported. Please prepare your backup copy in a USB or a CD-Rom. Presentation slides and all relevant movies are suggested to be placed in a folder in your USB or CD-Rom. All speakers are requested to review the presentation files One Hour prior to the scheduled presentation time. Speaker Preview Room will be in service during the conference period. Before the Presentation Please arrive at your session meeting room 15 minutes before your session starts to meet the Session Chair and to re- confirm your presentation slides. Staff will stand by at each meeting to provide any relevant assistance Preparation for Poster Presentation The Poster Area will be located in the Room 101 at the 1st floor of the Tianmu Convention Center. 041 SEP. 04 TUESDAY, 2012 data is
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SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
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asedased AgroAgro -03 500032,500032, IndiaIndia 500032,500032, IndiaIndia 500032,500032, IndiaIndia 500032,500032, IndiaIndia Department Department ------
BB -- 97006510319700651031 H)H) H)H) H)H) H)H) 01) ------velopmentvelopment ResearchResearch Center,Center, -- --
Sreenivas Sreenivas RajiRaji ReddyReddy
Mahadevaiah Mahadevaiah K.K.K.K.SinghSingh
Kumaraswamy Kumaraswamy KrishnaKrishna ReddyReddy L.S.L.S. RathoreRathore ChattopadhyayChattopadhyay Bhaskar Reddy Reddy Bhaskar Bhaskar G.G.
Hyderabad, India India Hyderabad, Hyderabad,
[email protected] [email protected] D.D.
M.M. P.P. Gowtham Sreenivas Sreenivas Gowtham Gowtham M.M. N.N. B.B.
[email protected]@gmail.com [email protected] [email protected] mianr ( / Se AdvisoryAdvisory SystemSystem Telephone:Telephone: +91+91 P.P. Agro Climate Research ResearchAgroAgroCenter,Center, Climate Climate Agro Climate Research ResearchAgroAgroCenter,Center, Climate Climate Agro Climate Research ResearchAgroAgroCenter,Center, Climate Climate India Meteorological Meteorological India India India Meteorological Department Department Meteorological Meteorological India India Department Department Meteorological Meteorological India India IIITIIIT Hyderabad Hyderabad(IIIT (IIIT IIITIIIT Hyderabad Hyderabad(IIIT (IIIT IIITIIIT Hyderabad Hyderabad(IIIT (IIIT IIITIIIT Hyderabad Hyderabad(IIIT (IIIT Acharya NG Ranga Agricultural University University Agricultural Agricultural NGNGRanga Ranga Acharya Acharya Acharya NG Ranga Agricultural University University Agricultural Agricultural NGNGRanga Ranga Acharya Acharya Acharya NG Ranga Agricultural University University Agricultural Agricultural NGNGRanga Ranga Acharya Acharya s (1) vice IT for forIT IT Agriculture Agriculture and and Development Development Center, Center, Research Research Rural Rural IT for forIT IT Agriculture Agriculture and and Development Development Center, Center, Research Research Rural Rural IT for forIT IT Agriculture Agriculture and and De De Rural Rural IT for forIT IT Agriculture Agriculture and and Development Development Center, Center, Research Research Rural Rural r al Se
eAgromet:eAgromet: A A PrototypePrototypeofof ananITIT
ltur -Agricu inar 1- e Sem 44 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 045 -03 01)
enabledenabled -- mianr ( / Se hh areare preparedprepared basedbased this paper, this this we we paper, paper, explain explain s (1) vice improve improve improve the the of of efficiency efficiency r al Se zones.zones. In In level agromet bulletins whic whic bulletins bulletins agromet agromet level level -- ltur -Agricu inar 1- e Sem y y y system system called called eAgromet, eAgromet, to to
agromet bulletin, risk management, farm management, extension service service extension extension management, management, farm farm management, management, risk risk bulletin, bulletin, agromet agromet
meteorologicalmeteorological advisor advisor -- on weather forecast and existing crop status information. The agromet advisory bulletins bulletins bulletins advisory advisory The The agromet agromet information. information. crop crop status status existing existing and and forecast forecast onon weather weather IT IT an an develop develop to to started started has has effort effort An An measures. measures. mitigation mitigation risk risk possible possible contain contain agroagro ABSTRACTABSTRACT India meteorological department India India department department (IMD) (IMD) meteorological meteorological is is agromet agromet disseminating disseminating advisory advisory bulletins bulletins to to farmers farmers and and other other stakeholders stakeholders through through about about district district 130 130 prepare prepare TheThe AMFUs AMFUs (AMFUs). (AMFUs). Agro Agro Meteorological Meteorological Field Field Units Units agromet advisory bulletin preparation and dissemination process by exploiting advances advances advances by by process process exploiting exploiting and and dissemination dissemination preparation preparation bulletin bulletin advisory advisory agromet agromet built built been been has has prototype prototype eAgromet eAgromet The The technologies. technologies. information information and and agriculture agriculture in both in both for for rice rice and and crops crops cotton cotton of of north north prototype. prototype. and and Telangana Telangana south south eAgromet eAgromet of of architecture architecture the the KeyKeywords:words:
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 ovidesovides
his his his research research are are time competitive time time competitive competitive nformationnformation -- II
tionstions is is industrial industrial services, services,
stry stry stry are are developing developing rapidly, rapidly,
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opagation Station Station opagation opagation -04 eedlings eedlings eedlings dustrialdustrial service service information information platforms platforms were were ExecutiveExecutive YuanYuan ExecutiveExecutive YuanYuan ExecutiveExecutive YuanYuan ExecutiveExecutive YuanYuan SS , , , , , , , , latformlatform 01)
PP ShuShu YuanYuan Chi Chi Chi YangYang -- YennYennChouChou lantlant -- PengPeng HuangHuang 22368225#328522368225#3285 -- ChingChing Tsai Tsai ------PP 22 -- [email protected]@tss.gov.tw
[email protected] [email protected] TsoTso [email protected]@tss.gov.tw YuYu [email protected]@tss.gov.tw
MingMing
ShihShihHsinHsin UniversityUniversity
886886 MingMing erviceervice ShaoShao ++ [email protected] [email protected] mianr ( / Se SS evelopment. evelopment. evelopment. However, However, information information is is scattered, scattered, repetitive, repetitive, or or of of Council of of Agriculture AgricultureCouncil Council Council of of Agriculture AgricultureCouncil Council Council of of Agriculture AgricultureCouncil Council Council of of Agriculture AgricultureCouncil Council s (1) vice Department of Information and Communications Communications and and Information Information of of Department Department TaiwanTaiwanSeedSeed ImprovementImprovement andandPropagationPropagation StationStation TaiwanTaiwanSeedSeed ImprovementImprovement andandPropagationPropagation StaSta TaiwanTaiwanSeedSeed ImprovementImprovement andandPropagationPropagation StationStation TaiwanTaiwanSeedSeed ImprovementImprovement andandPrPr r al Se time industrial information services for the seedling industry to to for for aim aim industry industry the the a a services services towards towards seedling seedling information information time time industrial industrial anninganning as as reference reference to to enhance enhance the the planning. planning. The The platform platform is is expected expected to to be be n the seedling industry n n to to the the industry industry service service plan plan seedling seedling information information and and the the construct construct industrial industrial --
plantplant seedlings,seedlings, industrialindustrial services,services, industrialindustrial informationinformation serviceserviceplatformplatform
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ConstructingConstructing anan AsianAsian PacificPacific highly highly highly refined refined and and d d international international unevenuneven quality quality prpr that that service service thus thus information information creating creating industrial industrial an an of of integrated integrated problems problems constructing constructing and and planning planning The The increases. increases. that that will will be be encountered encountered while while the the amount amount of of information information diversified industrial information will satisfy the information needs of the seedling industry users. We We We users. users. industry industry seedling seedling the the of of needs needs information information the the satisfy satisfy will will information information industrial industrial diversified diversified used used methods methods such such as as content content analysis, analysis, interviews, interviews, questionnaires, questionnaires, and and database database expert expert panels. panels. resources resources First, First, ten ten and and nine nine investigated investigated for for related related the the domestic domestic current current in in survey survey and and were were of of to to questionnaire conducted questionnaire conducted interviews interviews the the understand understand requirements requirements information information status status of of industrial industrial information information services services resources resources from from users users ii and and Service Service services. services. Information Information Industrial Industrial Seedlings Seedlings Plant Plant Pacific Pacific Then, Then, Asian Asian the the of of construction construction TheThe general general platform. platform. a a its its Platform Platform contains contains purpose, purpose, and and content, content, One One functions. functions. of of these these func func whichwhich coverscovers aa varietyvariety ofof information,information,werewere views views expert expert andand werewere held held panels panels technicaltechnical expert expert Organized Organized databases. databases. industry industry services,services, and and protection, protection, property property marketing,marketing, seedlingseedling community,community, intellectualintellectual collectedcollected after after the the pl pl TheThe of of and and decision decision tt outcomes outcomes policy policy for for researchers, researchers, makers, makers, suppliers. suppliers. intelligence intelligence sector. sector. public public agricultural agricultural the the for for planning planning service service information information industrial industrial for for KeyKey accomplished accomplished accomplished in in 2012, 2012, as as it it will will provide provide a a comprehensive, comprehensive, reliable, reliable, and and real real thereforetherefore the the agricultural agricultural extensiveness extensiveness of of realreal public public sector sector must must be be able able to to provide provide further further intensiveness intensiveness and and The The The technology technology of of information information and and and and communication communication seedling seedling indu indu ABSTRACTABSTRACT ltur -Agricu inar 1- e Sem 46 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 047 -01 02) timetime
waswas divideddivided
MapsMaps
( Semianr 1) / imageimage
ield ield ield nn FF
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addyaddy PP vectorvector conversion” conversion” application application pixelpixel binarized binarized cadastral cadastral map, map, ,Japan,Japan --
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onversiononversion --
reatereate CC
CC den, agricultural information processing processing processing information information den, den, agricultural agricultural 7177 7177 -- vector vector vector conversion” conversion” of of an an entire entire binarized binarized -- ectorector
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838838 -- -- VV th - - th th 9,757*13,084 9,757*13,084 ic IS Appl inar 2- G Sem -- @affrc.go.jp @affrc.go.jp 2929 -- ss reason, reason, “raster “raster gnedgned toto toto , , , farmers farmers managing managing extensive extensive fields fields are are required required to to -- [email protected] [email protected] +81+81 jonesjones Taimei Okada Okada Taimei Taimei vector vector vector conversion” conversion” was was performed performed for for each each sectional sectional [email protected]@affrc.go.jp
Since Since Since wewe adopted adopted a a pixelpixel wewetracing tracing algorithm, algorithm, divide divide -- esiesi
Tomoharu Nagao Nagao Tomoharu Tomoharu dai,Tsukuba,Ibaraki,305dai,Tsukuba,Ibaraki,305 Agroinformatics Division Division Agroinformatics Agroinformatics Agroinformatics Division Division Agroinformatics Agroinformatics TomokazuTomokazuYoshidaYoshida toto DD -- YokohamaYokohama NationalNational UniversUnivers YokohamaYokohama NationalNational UniversityUniversity asteraster ofof Japan Japan NARONARO AgriculturalAgricultural ResearchResearch CenterCenter NARONARO AgriculturalAgricultural ResearchResearch CenterCenter RR
asteraster rr ““ 1,Kannon 1,Kannon
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11 -- Faculty of Environment and Information Sciences Sciences Information Information and and Environment Environment of of Faculty Faculty
FacultyFaculty ofofEnvironmentEnvironment andand InformationInformation SciencesSciences e processed one at a time to reduce the amount of memory required required required memory memory of of amount amount the the to reduce to reduce time time a a at at one one processed processed ee
33 oftwareoftware singsing SS UU conversionconversion
paddy field map, GIS, agricultural information processing system, system, system, processing processing information information agricultural agricultural GIS, GIS, map, map, field field paddy paddy
vector vector vector conversion” conversion” was was implemented implemented in in a a environment environment to to multithreaded multithreaded increase increase -- vector vector -- toto -- toto Application Application Application ords:ords: -- ww KeyKey cadastral map, and the processing was completed in six minutes, which of of is is thethe which which 12.3% 12.3% in in six six minutes, minutes, was was completed completed and and map, map, processing processing the the cadastral cadastral map. map. field field paddy paddy a a create create manually manually to to required required rasterraster thethe processing processing speed. speed. This This enabled enabled “raster “raster image, image, image, and and field field the the images images were were to to converted converted joined joined provide provide the the whole whole image. image. In In addition, addition, “raster “raster toto store store the the original original image. image. “ “ into sections and they werwer they they and and sections sections into into an input image to several partial images for effective processing. processing. effective effective for for images images partial partial several several to to image image an an input input ABSTRACTABSTRACT InIn today’s today’s regional regional agricultureagriculture perform perform a a large large amount amount of of and and work work efficiency efficiency their their management management agricultural agricultural burbur reducing reducing management management tasks. tasks. With With the the aim aim of of improving improving systemssystems using using GIS GIS (geographical (geographical information informationbeen been proposed. proposed. It It system) system) takes takes time time to to produce produce a a systems, systems, paddy paddy as as it it field field is is map, map, drawn drawn manually. manually. which which For For thi thi is is essential essential for for these these software software software for for personal personal format. format. vector vector in in computers computers map map field field paddy paddy a a toto (PCs) (PCs) format format raster raster inin map map cadastral cadastral has has binarized binarized been been developed developed to to automatically automatically convert convert TheThe a a application application program program was was developed developed wi wi using the programming language C#. C#. language language using using the the programming programming
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 , - cm - model - models - how and - orest win - F management - - now gro tries tries for logistics A sensor sensor stations and -
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- management ontasks based management new and models information. precise forest forest future supporting food/feed, biomass for energy and - s ( tion a or risk- -
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How transfer and setup in a country need 2 need country a in setup and transfer How images, GIS, Land Parcel Information System, farm - ords: - solutions. Technology
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AgriculturalICT ABSTRACT High Return On Invest (ROI) for agriculture and forestry newest newest technologies and cooperation of ortho public and private stakeholders. 30+/ environmental Know support today thousands of customers worldwide. customers of thousands today support Key
costs costs a neglecting amount on large scale for images, agro systems supporting also advisory services, covering precision regions or coun for a bright envi agro cooperation cooperation with a consulting office. org Technologies, ICT ic IS Appl inar 2- G Sem 48 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 049 -03 ent, 02) criteria - he advent of ( Semianr 1) / esources R to allow for a dynamic dynamic a for to allow economic development development economic
- s ( tion a
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age as well as multi as well as age such as socioeconomic and N
based Land Resources Information System System Information Resources Land based - ic IS Appl inar 2- G Sem pplications in A scale GIS scale M. A. Zaman - of FarmPower and Machinery +8801711071190 number of classes to create. Bangladesh Space Research Research Space Bangladesh create. to classes of number [email protected] Mymensingh 2202, Bangladesh 2202, Mymensingh Bangladesh Agricultural University Agricultural Bangladesh
ensing e processing systems with ERDAS software for analyzing both both analyzing for software ERDAS with systems processing e e NOAA of USA and GMS (Geostationary Meteorological Department S Managementin Bangladesh natural resources and monitor the environment and natural hazards hazards and natural the and monitor resources environment natural Ecological Ecological Zone (AEZ) database was prepared in the period from - emote R resents resents an overview of the GIS and remote sensing applications in natural ed environmental analysis, geographic information systems, remote sensing, and and sensing, remote systems, information geographic analysis, environmental ed
GIS, remote sensing, natural resources, management resources, natural sensing, remote GIS,
ords: to to 1987. The database contains on information the land country's resources including GIS and and GIS climatic climatic environmental monitoring, as well as water resource studies. The SPARRSO - w 1980 soils, cropping climate, and systems, hydrology, physiography, crop In suitability. eighties, systems natural were modelling resources based on static With GIS overlays. t more desktop systems computer and powerful tools, more software it powerful has become possible to develop more flexible established was and design system overall an dynamic in 1997, modelling efforts tools. development At the start of the new analysis analysis and The modelling capability. AEZ database the constituted for foundation a new multi comprehensive a develop to effort (LRIS) including additional The production. data used demographic agricultural technology influencing to databases establish the and procedures, LRIS includes ArcView GIS; the ArcView Spatial Analyst and Dialog Designer extensions and Avenue; ArcView GIS software's programming langu analysis analysis tools. The land resources inventory the study to users specify the (LRI) allowed database, the LRI from application, of for soil characteristics mapping the classification and thearea, data be to classified, and the and Remote Sensing Organization (SPARRSO) has an from Advanced Satellite Meteorological data/imagery high and time low real resolution for receiving (AMSGS) Station Ground meteorological satellites lik Satellite) of Japan. These data are agro being used for day imag digital to sophisticated uses day weather forecasting and meteorological and resource satellite data. GIS ERIM facilities GIS (Raster) and include IDRISI (Raster). The Mainframe SPARRSO applies space and ARC/INFO, remote sensing technology to survey the in the country. Centre for Environmental and Geographic Information System (CEGIS) is supporting the management of natural resources for sustainable socio integrat using information technology. It conducts activities to provide solutions to challenges related to natural resources management in sectors transportation like and engineering. water, agriculture, fisheries, environm Key ABSTRACT This paper p sources. secondary from taken were information the and Bangladesh in management resources The first national Agro
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
t. t. There disciplines -
n Yilan County in s begun in 2008. This
Taiwan tural Researchtural Institute
23317412 Yuh Guo - -04 - 4 - atabase in wide soil surveys during the next 15 years. 15 next the during surveys soil wide Chung Chen - - 02) D 886 + [email protected] [email protected] Horng Chu urvey S Council of Agriculture,Council Executive Yuan Council of Agriculture,Council Executive Yuan
( Semianr 1) / Soil s ( tion a Agricultural ChemistryAgricultural Division, Taiwan Research Agricultural Institute AgriculturalChemistry Division,Taiwan Agricul
application of soil survey. soil of application
have have and been several kinds of landscapes soil historic, survey to in due Taiwan since other each 1911. However with it is periods difficult to information soil different correlate The factors. haproject soil survey fourth variation methodologies project was intended conductto country Geographic Information System, GIS, is an important platform for control and planning, application. In quality 2011, we had finished the soil survey o notheasten Taiwan and established the SOA publishing platform that publishes survey we keep working will areas, on other to soil surveys addition In in WMS format. results on improving the data quantitative, information friendly, and i mult Soil Soil survey results are the primary data source for land land evaluation, use planning, agricultural production, environmental quality and sustainability managemen ABSTRACT ic IS Appl inar 2- G Sem 50 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 051 -01 03) unattended
minar ( tics / Se obo Brazil
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of Informatics of Informatics of of Informatics of Informatics obotfor Estevam da Rosa da Estevam R
Field Field Robot which is to intended explore, in [email protected]
55 (42) 9935 (42) 55 [email protected] – [email protected] [email protected]
Ivo Mário Mathias
[email protected] ield ield Department Department Department Department Department
AriangeloHauer Dias F
the robotic systembased openon hardwareArduino. IdomarAugusto Cerutti
State University of Ponta Grossa Ponta of University State Grossa Ponta of University State State University of Ponta Grossa Ponta of University State State University of Ponta Grossa Ponta of University State State University of Ponta Grossa Ponta of University State Daurimar Mendes da Silva A In rtificial inar 3- A Sem Anderson
- tic tic systems to perform agricultural services there arises the idea of Rua Capitao Goes de Moraes, 222 Moraes, de Goes Capitao Rua Navigo
cost cost solution that can be used in an efficient way by a greater number of small and
Field Robot, Fuzzy logic, Arduino, ARM architecture ARM Arduino, logic, Fuzzy Robot, Field ol for the next generation of precision agriculture, with the role of assisting in the monitoring and the in with of the role assisting monitoring agriculture, of ol precision for the generation next permite that the user community can use, copy, contribute, study, modify and redistribute according according and redistribute modify study, contribute, can copy, use, that the user community permite choice is this about based on to The explanation objective needs the to to application. each specific create a low farmers. medium To materialize the idea architecture. a The software special solution is hardware based is on using the with architecture Object language the Java Control) The programing Android platform. software being developed the control and route the based managing for theory logic and Fuzzy oncomponents graphical uses developed ARM and Arduino electromechanical system for driving solutions are being incorporated in the routine in several ways is possible to imagine the possibility of possibility the imagine to possible is ways several in routine the in incorporated being are solutions robots as comes a small support with georeferencing because the agriculture, in technology this using to of evaluation climate, soil or plants. The AGROBOT project, b with the software, and creation hardware of using the developed being field is Navigo, robot way, way, open areas on farms in order to collect vegetation. weather information, samples These or data sample from collections soil and willglobal be positioning of made in the the robot georeferenced at way, the in time order of to ea obtain the Keywords: developing a prototype for this purpose. In this way was created the AGROBOT project. This project project This project. AGROBOT the created was way this In purpose. this for prototype a developing aims at an robot developing agricultural ABSTRACT as the as Brazil well notthere fact that is systems, computer of in development the current Analysing available any small robo
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
robot robot - ase C
he T
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autonomy, interaction roles). griculture: robot interface. A user interface user interface A interface. robot A -
election for -02
WIMP interfaces, within the framework S - a human
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oboticsin
arget Halevi R T
22403133 - automatic teleoperation in agricultural robotics, such - Yael Edan Yael [email protected] 016, 1516 Nicosia, Cyprus Nicosia, 1516 016,
+357 [email protected] the design guidelines of a user interface for a human for a of user interface guidelines design the b [email protected] Robot Interaction, User interface design principles, Ron Berenstein Idan Ben- -
George Adamides Gurion University of the Negev the of University Gurion Negev the of University Gurion Gurion University of the Negev the of University Gurion Open University of Cyprus of University Open Open University of Cyprus of University Open ThanasisHadzilacos - - - minar ( tics / Se obo Agricultural Research Institute Research Agricultural [email protected] t [email protected] Ben Ben Ben rinciples for for rinciples P.O. Box 22Box P.O. ment of Industrial Engineering and Management and Engineering Industrial of ment Information and Communications Systems Communications and Information Information and Communications Systems Communications and Information P avigation and robot interaction parameters (e.g., level of of level (e.g., parameters interaction robot - N & R ence his research also proposes a methodology to also his of a research proposes the usability evaluate the methodology Depart Management and Engineering Industrial of Department Department of Industrial Engineering and Management and Engineering Industrial of Department ellig esign t D automatic teleoperation of an agricultural robotic system can enable improved - elerobotic
T T Agricultural Robotics, Human Robotics, Agricultural
veral usability wereidentified. limitations usability veral nterface
of I
ords: automatic teleoperation implies that the user is not collocated with the robot, and therefore, when when therefore, and robot, the with collocated not is user the that implies teleoperation automatic -
w
User for for a vineyard robotic sprayer was implemented including functions. The user interface incorporates of examination the Following and user target selection spraying. robot functions; navigation, several interface se to specify is paper of this The contribution spraying. vineyard of case the in robot, agricultural cooperative, as such post styles interaction other include will work Future of the AgriRobot project. interaction design, centered user T awareness, user (e.g., factors the human and examine to user interface styles, learnability) and human designing a user interface several principles must be considered aiming to improve the usability of user of user usability the improve to aiming considered be must principles several interface user a designing interface. In the case of an interface for semi Semi principles include: visibility, safety, simplicity, feedback, extensibility, and cognitive load reduction.
Introducing semi ABSTRAC performance overcoming the complexity that current autonomous robots face due unstructuredto theagriculture dynamic environment. requiresThis and design of Key Usability In rtificial inar 3- A Sem 52 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 053 -03
03)
ased ased B tems (e.g. industry - ouse H - house house sys - minar ( tics / Se obo
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rresponding treatments, the the treatments, rresponding losed ture allows its application for application its allows ture C
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agent systems, agro
ects. The agents are supervised to
- ellig or a t
f agent agent systems since it supervises,
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in of the system proposed. The supervisory The supervisory of proposed. the system Seminar untirta.ac.id - ndustry
ies I oro ed broiler industry. Theis prototype ed industry. broiler simulated ystems Sumiati flower house). S industries industries that used closed Alimudd Nutrition & Feed Technology Feed & Nutrition - bas +622518623936 - [email protected] [email protected] roiler ll the agents to behave and function for collaborative alimuddin@ft B I Dewa Made Subrata Dewa I Made gent Kudang B [email protected] A Darmaga Bogor16680, Indonesia Bogor Agricultural University (IPB) University Agricultural Bogor Bogor Agricultural University (IPB) University Agricultural Bogor Bogor Agricultural University (IPB) University Agricultural Bogor industry. This paper describes the design of the supervised artment of - In rtificial inar 3- A Sem
Engineering Electrical Of Department uckhouse, house based broiler broiler number the based by house characterized is industry - Dep University Of SultanUniversity Of Tirtayasa Ageng (Untirta Departmentof Mechanical & Biosystem Engineering Departmentof Mechanical & Biosystem Engineering Multi broiler
: broiler: house, supervisorycontroller, multi upervised S agent systems systems agent for closed house agent systems to cope with various tasks and obj - - The Keywords various medium or large scale agro poultry house, greenhouse,d multi also described to applicabilit show also potential described controller is the heart of the supervised multi coordinates, directs and instructs directs and a instructs coordinates, architec of the system and modularity The generality work. ABSTRACT The complexity of a closed and co the of broilers the varieties houses, of and broiler size scheduling scheduling of employs broiler that system control a production, by the handled be must This distributed locations conditions. climate of corresponding broiler houses and the multi act collaboratively and concurrently to manage all broiler houses involved especially in a in a especially involved houses broiler all to manage concurrently and collaboratively act or scale medium large
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
rom
Red (NIR) - plant images ight umination. The it it to accurately egetative egetative L ust ust and scalable
color spaces with V atural atural N 0002
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based classifier known as CART to to CART as known classifier based U - 03)
tokyo.ac.jp - reen
tokyo.ac.jp - 1613 G tokyo.ac.jp - - aken
tokyo, Tokyo, 188 - T 463 - 42 - hi hi NINOMIYA @mail.ecc.u Wei GUO +81 [email protected] R. Uday Kiran plant plant regions in an image and use Seis cho, Nishi - - The University of Tokyo Tokyo of University The The University of Tokyo of University The The University of Tokyo Tokyo of University The
ri mages [email protected] I
Institute of Science Industrial minar ( tics / Se obo uday_
xtractionof 9445704373 E 1 Mido - ecosystem Services, Graduateecosystem School of Agricultural and Sciences Life ecosystem Services, Graduateecosystem School of Agricultural and Sciences Life lant - - 1 - P 1 & R ence
world applications. world To applications. confront these problems, researchers have - ellig t ffective E
vegetation segmentation, natural light condition, machine learning, specular specular learning, machine condition, light natural segmentation, vegetation
overfrom
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defined thresholds for every image. This paper proposes a rob
- Towards
Institute for Sustainable Agro Sustainable for Institute Institute for Sustainable Agro Sustainable for Institute digital plant images is an important research issue in crop monitoring systems. In the past, past, the In systems. monitoring crop in issue research important an is images plant digital extraction of FVC has been studied ill usingcontrolled specially under camera or light normal imagesnatural under camera taken either by Near costly are Infra environments controlled and luminance intuitive human less is waveband NIR to construct in real or formula color green the emphasizing introduced usage of different thresholds to extract FVC approaches from cannot plant effectively extract It is the because images. conditions). FVC outdoor (or uncontrollable conditions if lighting plant It images has are taken been taken under under natural observed light can natural contain that shadowed and lighted parts with strongly these mirror reflected parts of a plant. theMoreover, are approaches not scalable as they require the user framework to effectively extract FVC from plant images taken under conditions. natural The framework lighting involves training the tree ABSTRACT Accurate Accurate and automatic extraction of green fractional vegetation cover (FVC) f effectively identify plant and non extract extract FVC from other plant images. effective. is framework Experimental results show that the proposed Keywords: reflection.
In rtificial inar 3- A Sem 54 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 055 -01 04)
roduction ( eminar t / S P
ecommendations rop en ernm C v uality
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- tors tors such as variety selection, soil
igh TARI), CouncilTARI), of Agriculture -Go inar 4- e Sem H nagement are determined by using dynamic by using dynamic determined are nagement
Li Wei
- Tang Lu Tang Ying Lu quality production can be fulfilled only can only when be fulfilled production quality 23317127 - - - 4 - Meng 886 [email protected] Hsiu- [email protected],tw eather eather data, references for farmland management, CropScience Division Chun [email protected] Crop Science Division Deputy Director General Director Deputy ystem for
crop variety to create an Integrated Information System System Information to an create Integrated crop variety and cultivation. The Integrated Information System for pest control, reasonable fertilization r S
ws us to take preventive measures beforehand to reduce tion tion to satisfy their farming needs, paving the way for TaiwanAgricultural Research Institute ( ResearchTaiwanAgricultural (TARI), Council Institute of Agriculture Taiwan Agricultural ResearchTaiwanAgricultural (TARI), CouncilInstitute of Agriculture nformation I
Digital Digital cultivation management schedule, knowledge database, integrated
quality quality Crop Production, for use by crop growers. Digital integration of time integrated information. The Taiwan Agricultural Research Institute (TARI) - mentioned factors, the goal of high - quality quality Crop Produc quality Crop Production was designed for focus on the personal needs of crop - - Integrated ABSTRACT Crop production must take into account various fac fertility, climate change, and disease and pest control. Through the interaction of the above technologies and measures of cultivation ma of cultivation and measures technologies and real utilization and brands, different from of fertilizers cost of the and input usage estimation of to times pest the track and occurrence technology and communication of information disease outbreaks. This allo loss. disaster In the event that the returns younger generation to consequently farming, for System Information Integrated the promote we may of operation, scale the bolstering High agroindustry. to agriculture from conversion and disease system, information has established and integrated information systems soil,related fertilizer,to disease,rice, pest,agricultural and weather, of prediction dashboard, schedule management cultivation dynamic a providing growers, the crop growth period based on w for for - High can knowledge cultivation provide with farmers fast, and convenient, correct access to on information crop production High Keywords:
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
production
eatly eatly affected mportant I
ystemfor
S
w
tari.gov.t - tari.gov.tw Research Institute Research -
23317710 - ruits 4 Hung Chen ShingTeng - Rong TsayRong - Management - ChoHuang F - - platform of the production management system into of management the platform production ShiangHwang - 886 -02 + [email protected] Jyh Chi [email protected] Shou jerry@fthes Yung Department of Geology of Department Secretary General office General Secretary [email protected] tengys@fthes 04) Guo Chinese Culture University Culture Chinese
Agricultural Engineering Division Engineering Agricultural Taiwan Agricultural Research Institute Research Agricultural Taiwan TaiwanAgricultural Taiwan Agricultural Research Institute Research Agricultural Taiwan Institute Research Agricultural Taiwan
roduction roduction P Fengshan Tropical Horticultural Experiment Branch Experiment Horticultural Tropical Fengshan Branch Experiment Horticultural Tropical Fengshan ( eminar t / S on season adjustment and the cultivation management. We hoped that a tivation pattern that can stabilize the yield and control the production season season the production and control the yield can that stabilize pattern tivation en ernm v
Lychee (Litchi chinensis Sonn., Cv. Yu her pau),Wax apple (Syzygium (Syzygium apple pau),Wax her Yu Cv. Sonn., chinensis (Litchi Lychee
oriented crop production system can be established. Furthermore, we selected wax apple, apple, wax selected we Furthermore, established. be can system production crop oriented ngense (Bl.)Merr.et Perry (Eugenia javanica Lam.)),Microprecisionproduction -
Establishment of
of of lychee (Yu Her Pau). At present, the area cultivated for lychee is 2,500 with hectares, the of buds flower is the gr output value However, differentiation of NT$1.7 billion. ABSTRACT has (TARI) developed Institute of the of Taiwan efforts, years team After Agricultural research cul a sophisticated bytemperature in actual of cultivation. introduction To ensure utilizes thethat controlsystem a ofbuilt we the blossomcultivation, time,the of estimation management of theeffective and yield, the climate data generated by information the flower bud differentiation forecast queries, this program cultivation system provides query service for registered to farmers to ask questions control blossom time. the regarding producti Except general quality the of theintroduction of subject as the tree, fruit ofthetropical a fruit is also which management pattern. In all, this information platform provides relevant cultivating environment, environment, cultivating relevant provides platform information this all, In pattern. management the disasteralert and boosts the benefit ofexpert guidance. Keywords: samara -Go inar 4- e Sem 56 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 057 -03 04) able able genetic
resistant crops - ( eminar t / S learning guide, a guide, learning - nformation I elatives en ernm term term evolution, the Crop - v R ild
as as reference for crop breeding,
W , , and environment eographic eographic -
G
Institute rop
, pest C
- -Go inar 4- e Sem Chen Chiou
Chiu
Chang
Wen 2771341#556 - - Fen Lung Liang 5 - - - - [email protected] [email protected] 886 Hui [email protected] Shu + Chien Wen orticultural y, this information can be used this y, as information an e [email protected] Division of Botanical Garden Botanical of Division Division of Botanical Garden Botanical of Division Division ofPlant Germplasm H pplication of the the genetic resources of plants, produce numerous genetic Taiwan Forestry Research Institute Research Forestry Taiwan TaiwanForestry Research A Chiayi Agricultural Experiment Station Experiment Agricultural Chiayi Taiwan Agricultural Research Institute Research Agricultural Taiwan Taiwan Agricultural Research Institute Research Agricultural Taiwan
ystem forthe S
Horticultural Horticultural crop, wild relative, geographic positioning system, geographic
. . In light of global climate change and diminishing natural habitats, the amount of r climate change. It is also useful for the conservation and sustainable application of crop crop of application sustainable and conservation the for useful also is It change. climate r Implementation and and Implementation ABSTRACT Plant genetic resources for food and are agriculture (PGRFA) the driving force for selective breeding and the of foundation Over agriculture. sustainable long Wild Relatives (CWR), one of variations. Such variation is the source of disease with particular economic traits. It directly contributes to the increase of crop productivity and crop productivity of increase to the contributes directly It traits. economic particular with quality a shows steep This or theis decline. PGRFA the of also variation case degree the genetic for horticultural crop wild relatives System the for (GIS) resources, Information the crop Geographic horticultural wild inrelatives Taiwan. To and basic location protect the geographic about information The can GIS is built. in provide Taiwan and utilize these valu of CWR. characteristics Such can information then be used location, of species and estimation species, the about information geographic of investigation or utilized when searching for important genetic characteristics, such as Alternativel disease, resistance. pest, environment and booster for the collection and application efficiency of horticultural crop wild relatives, and a a and relatives, wild crop of horticultural efficiency and application the collection for booster in Taiwan crop resources genetic of the adaptation horticultural the for facilitator ecological unde resources. genetic Keywords: information system, breeding, genetic characteristics genetic breeding, system, information
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
the the ion ion
Taiwan Taiwan , mainly mainly to
only only through improved
isheries d ll ll these systems F started was FRI. In the study, Approximately 78% of
.
of Currently, a
. Currently, the program is in is program the . Currently,
.
widely disseminate twork 2012
. The program
ystems for the
be
Taiwan
S
for digital archives
government program has
-
1998
capture fisheries, capture aquaculture, and fisheries, seafood digital archives, digital exhibition, aquatic aquatic exhibition, digital archives, digital
services for the public
TeTseng Ke Hsu Ke - Yuan Lin and Chin Chin Chen - - SungChen 24622101#2517 Research Institute - - - nstitute of nstitute 2 - Ya I sharing. e, and information -04 Chi nformation I Chen Shih Kao 886 was initiated in [email protected] [email protected] + [email protected] [email protected] the government the provided government many online services, and more 04) [email protected] the fisheries information systems Fisheries Research Institute Research Fisheries Fisheries Research Institute Research Fisheries Fisheries Research Institute Research Fisheries Fisheries Fisheries Fisheries Research Institute Research Fisheries In In each phase, the e Planningand Information Division Planningand Information Division Planningand Information Division Planningand Information Division Planningand Information Division of esearch of online access R isheries
the following categories: 2016).
improve the infrastructure of ne the of infrastructure the improve F -
). to ( eminar t / S overview overview
s, s, FRI has accumulated substantial data and information related to the the World Bank’s Knowledge Index Knowledge Bank’s World the
en ernm v government, fisheries information systems,
- For year e presents an
: . s
government services increased 39% from increased in services 2004 government to 67.4% in 2010. In addition development and application of technology of of technology and application development government program in Taiwan -
-
phase IV stage (2012 Development of of Development
http://www.tfrin.gov.tw setup the backbone and and effectiveness efficiency ABSTRACT The e survey respondents were aware that than 50% had downloaded forms or documents from Public government websites. satisfaction with e The The Fisheries Research Institute (FRI) of Taiwan was established in 1929. The Institute focuses on the informat fisheries building of purpose was the This on internet. the placement and digitization systems for FRI. processing knowledge of fisheries technology. This knowledge can Keyword its was ranked fourth in This This study have have been ( integrated and can be accessed through the official portal of FRI systems were divided into theme website, technical extension servic -Go inar 4- e Sem 58 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 059 -05 ) 04)
3452, 3452,
( eminar t / S Spodoptera life table, computer Arachis hypogaea en ernm sex nd net reproductive rate rate nd reproductive net v - ), a pulation growth rates were 1 - fecundities were 3548,
stage two - population dynamics, we collected we collected dynamics, population
gy
e lo
S. S. litura , age -Go inar 4- e Sem S. litura
Field During Different Seasons Chieh Le - Jen Tuan Jen 22840779#531 - - 4 Control Timing Against - Shu 886 Chung + DepartmentofEntomology Department of Entomo of Department [email protected] Arachis hypogaea National Chung Hsing University Hsing Chung National National Chung Hsing University Hsing Chung National
roundnut , G
), finite rate of increase (1.2017 d (1.2017 increase of rate finite ), 1 - in (Fabricus) is the most serious groundnut (
m the laboratory at constant temperature (25ºC), and from the field in in field the from and (25ºC), temperature constant at laboratory the m imulation of the S
adult survival rates were lower in spring (39.9%) and fall (53.3%) than for (53.3%) and fall (39.9%) were lower in rates spring adult survival - Spodoptera litura
(Fabricus)
defoliating pest To in Taiwan. defoliating simulate - lts living under field conditions did. The mean generation time was shortest in fall litura Computer simulation, economicthreshold leaf ABSTRACT Spodoptera litura life life table data fro Pre d). (34.5 those Mean kept at (84.6%). constant temperature the spring and fall of 2010. The shortest immature stage occurred during fall (19.2 d), and and d), (19.2 fall during occurred stage immature shortest The 2010. of fall and spring the than longer lived group laboratory the of 25°C Adults d). (28.4 in spring was longest the adu (963.2 (963.2 offspring) factors environmental were unregulated various fall; and greatest spring during under variability high showed constant 25°C conditions. These affected parameters hatching and survival rates in the field, and so po of both dynamics population the We compared conditions. lower than the for controlled (ET). threshold economic on based controls without and with seasons cropping Keywords: and and 3072 for moths raised and indoors in the during and spring, field fall, respectively. The intrinsic and respectively. 26.0% 72.2, 64.2%, were conditions these for rates Hatch d (0.1838 increase of rate
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
ion ion rates of N distribution of
- itrogen N
contribute to environmental
ption for
-01 23884 -
hohenheim.de - 05) itigation O
ultural Sciences ultural hohenheim.de - M He Xiao He ystems ofthe North ChinaPlain Jirko Holst Süd, 70593 Stuttgart, Germany Stuttgart, 70593 Süd, WenpingLiu - Zhenrong Yu S [email protected] [email protected] [email protected] Reiner Doluschitz University of Hohenheim of University University of Hohenheim of University Tel.:+49 711459 hina Agriculture University Agriculture hina
China Agriculture University Agriculture China C China Agriculture University Agriculture China J_Holst@uni ( Seminar 1) / Faculty of Agricultural ofFaculty Sciences Faculty of Agric ofFaculty reiner.doluschitz@uni oß, Osthof capture capture some of the lost nitrogen to mitigate negative - distribution distribution of nitrogen through volatilisation, leaching and ( tion - Exploring a Schl
ropping ropping Collegeof Resourcesand Environmental Sciences Collegeof Resourcesand Environmental Sciences – Collegeof Resourcesand Environmental Sciences C
in
Computer Applications and Business Management in Agriculture (410C) Agriculture in Management Business and Applications Computer Computer Applications and Business Management in Agriculture (410C) Agriculture in Management Business and Applications Computer
agricultural systems are, unfortunately, to some extent unavoidable. However, However, unavoidable. extent some to unfortunately, are, systems agricultural
ollution P Agroforestry
nitrogen in nitrogen it may be feasible environmental impacts. One to possibility could be re the conversion of arable fields into pollution and lowerprofitability. and use efficiency nitrogen the made are to improve efforts great issues, these of light In to alleviate environmental problems in Chinese agriculture. Loss and re Maize Maize belongs to maize the as grown summer typically is It dominant security. food to Chinese food significantly and contributes feed crops in the North in with China winter wheat rotation (two per harvests but year), also as cultivated crop Plain single and sometimes and fertiliser nitrogen of inputs High shortage. water of case in maize) (spring are for and maize required production irrigation actual applicat additional ABSTRACT fertiliser often grossly exceed crop nitrogen demand. The excessive use of fertiliser leads leads of fertiliser use The excessive demand. nitrogen crop exceed grossly often fertiliser to significant loss and re other processes, and as a result, these systems agricultural ula g & Sim odelin inar 5- M Sem 60 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 061 -01
– 05) sAFe - ( Seminar 1) / ( tion years. years. We show that only
feasible feasible options for agricultural
Fe Fe and apply it for a site near Quzhou, sA options. options. We discuss the and opportunities - ula g & Sim odelin inar 5- M Sem
nitrogen. Trees also promise additional income provided that the the that provided income additional promise also Trees nitrogen.
sAFe sAFe to address our research hypothesis and simulate a walnut sAFe was specifically designed to simulate competition between crops crops between competition to simulate designed was sAFe specifically - - systems, systems, because the added trees expand the zone of interception for volatilised
Nitrogen volatilisation, Nitrogen leaching, Walnut, Spring maize, Hi maize, Spring Walnut, leaching, Nitrogen volatilisation, Nitrogen
maize maize agroforestry system over a time period of 40
ords: w Hebei, China. Hi Here, Here, we explore the modelagroforestry Hi yield penalties of the main crops remain limited. limited. remain crops main the of penalties yield agroforestry systems with low tree densities are and trees for light, water and nitrogen in temperate agroforestry and systems and trees allows for light, water for and in nitrogen agroforestry temperate the of incorporation important management leaching and leaching spring as production, annual exceed yield otherwise 10% penalties of yields. We monoculture efforts. research and development model further promote Key model, STICS model, Quzhou agroforestry limitations limitations of Hi
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
,
s. to
s The
.
design Sports
ffects the Java , and data
E 2015 be used to which a user user a which
data,
the cultivation the cultivation
Culture of data viewer also
climate change ,
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climate change climate platform to platform , “Green “Green Network of will will
types
the will run until The results of the system Japan Japan Japan
predicted
predicting system for rice The The system will be able to those those obtained by .
apan Asian monsoon region flexibility
a ystem forthe
meteorological , evaluation of their effects on the S information
ARC) ARC) ARC) its
the results AsianMonsoon Region 8666J and and - the
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such as 2011 and
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the jp developed.
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crop crop cultivation can be elucidated by . , go Division Division Division 7177 . go . - iura 05) on them, K oshida valuation climate change climate
findings
anaka the necessary 838 s , displayed by several - in agriculture to counteract
E MetBroker began in @affrc
s. @affrc kei@affrc , 29 . - Kei T and and Takuji kiura +81 hiroey Hiroe Y tanaka develop Agroinformatics Agroinformatics Agroinformatics Agroinformatics Agroinformatics Agroinformatics a targeted crop targeted a
feature of thissystem is griculturein strategies strategies ( Seminar 1) / crop model ng previous ng previous
A , andfarmer
“Climatic changes and
.
s , and and to
1Kannondai TsukubaIbaraki 305 sed on Agricultural Research Center ( Center Research Agricultural Agricultural Research Center ( Center Research Agricultural Agricultural Research Center ( Center Research Agricultural , ( tion -
strategies in agriculture against 1 - ba itigation project are to improve the reliability of the climatic prediction in and management) will be and management) 3
XML format
, ARO ARO ARO
ei CAAM N N N a a system that can under the simulate various conditions cultivation - in Asian monsoon region (CAAM)” under
, onstruction ofan
hange on hange C mostcompelling policy maker C the ted weather efficiently efficiently by usi
, the CAAM GRENE The The effects of climate change
the
both both .
. the the same effects to the system as parameter values
by adaptation and m limate ords: cultivar research research objective is the elucidation of the effects of the climate change on major C
w
developed Japanese Japanese research project of e.g., Toward can change crop models models crop change can resolution cultivation inputting will will be output applications applications with good operability and visibility so that not only researchers but also administrative officers and farmers can use design be used used be Key Agricultural Agricultural Model Framework (JAMF) be Science and Technology Japan (MEXT) purposes of the Asian monsoon region Our crops data in and by the region Asian using monsoon the meteorological team another by provided data During During this project ( adaptation and mitigation and mitigation adaptation ABSTRACT A agriculture in Excellence (GRENE)” program supported by the Ministry of Education ula g & Sim odelin inar 5- M Sem 62 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 063 -03 05) ( Seminar 1) /
abbage in the the in abbage ( tion C on, on, we adjusted the
) ) is the major vegetable of the North
22603 Hönninger - - hohenheim.de - hohenheim.de
- hohenheim.de hohenheim.de 459 - hohenheim.de - -
il Feikeil 711 T - otential of Chinese of Chinese otential pekinensis Qing Chen P [email protected] eff@uni +49
Sebastian Munz ula g & Sim odelin inar 5- M Sem Universität Hohenheim Universität Universität Hohenheim Universität Universität Hohenheim Universität Universität Hohenheim Universität Universität Hohenheim Universität Wilhelm Claupein Reiner Doluschitz ssp. gra 70593Stuttgart, Germany
tilfeike@uni-
claupein@uni S.Munz@uni China Agricultural University Agricultural China doluschitz@uni North China Plain China North
Institute of Crop Science (340a) Science Crop of Institute Institute of Crop Science (340a) Science Crop of Institute nce (340a)Scie Crop of Institute Simone Simone Graeff InstituteFarm of (410c) Management InstituteFarm of (410c) Management roduction roduction P rassica rassica rapa College of Natural Resources and Environmental Sciences Environmental and Resources Natural of College B a powerful and inexpensive tool to describe plant growth processes, and and processes, growth plant describe to tool inexpensive and powerful a s in the region. Improving the production of Chinese cabbage with
oriented CSM CROPGRO to simulate Chinese cabbage. Model development and and development Model cabbage. Chinese simulate to CROPGRO CSM oriented - Modelling the Modelling China China Plain (NCP), an important region agricultural of China. The steadily overexploited increasing on already the pressure more and more is putting vegetables of production natural resource respect to a more efficient use systems. In of development that sustainable agricultural context of crop models simulation inputs can give a significant (CSM) contribution constitute to the the the with interactions the Especially the environment. to possibility test a wide range of management options isavaluable feature. To enable process the simulation of Chinese cabbage producti ABSTRACT ( cabbage Chinese
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
cabbage cabbage them them to a
ere obtained on silty
-03 05) ( Seminar 1) / house and field experiment data from Germany and China China and Germany from data experiment field and house - ( tion DSS,CROPGRO, Chinese cabbage, NorthChina Plain
ords: system. The simulation analysis showed that soil texture has a stronger effect on
w -
production in the NCP. Simulations were conducted over up to 30 years of weather data data over up of weather to 30 conducted years were Simulations NCP. in the production soil on tested five prevailing the NCP, and were of throughout additionally 12 locations texture types. The results were extended over the whole region by linking testing testing were based on green from from 2007 to 2009. The validated model was then used to simulate Chinese GIS yields compared tothe climatic variation inthe NCP.The lowest yieldswere observedon w yields highest the while oftheNCP, part central the in soils sandy soils in the part. The Northern world. proved tool developed the to of be parts a Support Decision reliable other and China in production cabbage Chinese improve to System Key ula g & Sim odelin inar 5- M Sem 64 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 065 -04
05)
( Seminar 1) /
( tion odels in in Nanjing odels
M
rowth
P.R. China
G
tural Sciences tural tech Information tech tech Information tech
- -
84391210 - Na Liu apeseed apeseed 25 Yan Liu - Yuli Chen R DaokuoGe Yanbin Yue YongxiaLiu Jinying Sun Hongxin Cao [email protected] Weixin Zhang +86 Wenyu Zhang Zhiyou Zhang [email protected] [email protected] ula g & Sim odelin inar 5- M Sem of [email protected] emy of Agricultural Tropical emy Sciences [email protected]
[email protected] Academy of Agricultural Sciences Agricultural of Academy [email protected] [email protected]
2009101038@njau. edu.cn 2009101038@njau. [email protected] China Meteorological Bureau ing Hunan Academy of Agricul of Academy Hunan Jiangsu Academy of Agricultural Sciences Agricultural of Academy Jiangsu Jiangsu Jiangsu Academy of Agricultural Sciences Agricultural of Academy Jiangsu Jiangsu Academy of Agricultural Sciences Agricultural of Academy Jiangsu Jiangsu Academy of Agricultural Sciences Agricultural of Academy Jiangsu Jiangsu Academy of Agricultural Sciences Agricultural of Academy Jiangsu GuizhouAcademy of Agricultural Sciences Institute of Agricultural Sci ofInstitute Agricultural Institute of Agricultural Sci ofInstitute Agricultural Center for China Meteorological Information Meteorological China for Center Nanjing 210014, Jiangsu Province, Province, Jiangsu 210014, Nanjing Chinese Acad Chinese erfect Economics and Information; EngineeringResearch Center for Digital Agriculture P
Institute of Banana and Plantain/Haikou Experimental Station Experimental Plantain/Haikou and Banana of Institute Agricultural Technological Extensive Station of Luntai County in Xinjiang in County Luntai of Station Extensive Technological Agricultural Agricultural Economics and Information; EngineeringResearch Center for Digital Agriculture Institute ofInstitute ofInstitute Agricultural Economics andResearch Engineering Information; Center Digital Agriculture for Institute ofInstitute Agricultural Economics andResearch Engineering Information; Center Digital Agriculture for Institute ofInstitute Agricultural Economics andResearch Engineering Information; Center Digital Agriculture for ofInstitute Agricultural Institute ofInstitute Agricultural Economics andResearch Engineering Information; Center Digital Agriculture for Validation and and Validation
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
, and F (N) and leaf model in
- , Thus, the . (NY18)
with 2 cultivars 2 with cultivars
model model can be done -
In order to deepening . 2012 2012 in Nanjing. The -
nitrogen nitrogen levels experiment before before and using after
, Ningyou 18 values different (NY16)
-04 05) 2009, and 2011 -
eseed growth models growth eseed rap 2008, 2008 ( Seminar 1) / - ing, and and ing, were put forward and used in the phenology sub and used in were put phenology the forward
same cultivar under ( tion r adjusting. The simulated and and theof the verification number leaf sub
, perfect
, , F (N), were adopted as materials, and were as the adopted field materials,
els els and pot with experiment 3 and cultivars 2 nitrogen levels during are are a core and basis of digital planting industry
models in rapeseed growth models were raised further. raised were models growth rapeseed in models Validation - : (NZ19)
number sub
through cultivar through cultivar paramete and and the observed values were and compared, the precision for the phenology Keywords rapeseed growth models growth rapeseed Ningza 19 and 2 levnitrogen were conducted during 2007 factors effect nitrogen experimental results showed that the phenology and leaf number in rapeseed models had had models in rapeseed number and leaf phenology the that showed results experimental obvious difference for the ABSTRACT Crop models studies for rapeseed growth models, Ningyou16 ula g & Sim odelin inar 5- M Sem 66 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 067
-05
he 05) ruit ruit F control F Bactrocera ate of fly,
R
riental ( Seminar 1) / e O rate of fruit damage
, regression was used to
( tion control, control, monitoring, and the trapcatch
, umber of
N
atchesand the tances Researchtances Institute ured and on fruit losses. Theoretically, Theoretically, losses. on fruit and ured
C
protein bait protein
rap , T
as applied to guava and wax apple orchards in Ying Su - Hua Chen 23302101#309 - Chueh Lin amage - etweenthe - 4 Hsin Huang - D - B Wen [email protected] [email protected] Li Mei Wen 886 ula g & Sim odelin inar 5- M Sem [email protected] + [email protected] ear. ear. There are for many reasons this possible complexity. Pesticide Application Division Application Pesticide Pesticide Application Division Application Pesticide Pesticide Application Division Application Pesticide Department of Plant Medicine (Hendel)) (Hendel)) methyl eugenol
, elationship National Pingtung University of Science and Technology and Science of University Pingtung National R efficacy. In the present study, the efficacy of oriental fruit fly fly fruit of oriental the efficacy study, In present the efficacy.
Taiwan Agricultural Chemicals and Toxic Substances Research Institute Research Substances Toxic and Chemicals Agricultural Taiwan Taiwan Agricultural Chemicals and Toxic Subs Toxic and Chemicals Agricultural Taiwan Taiwan Agricultural Chemicals and Toxic Substances Research Institut Research Substances Toxic and Chemicals Agricultural Taiwan less, this study uses a protein bait to obtain female catch data. We discuss the the We discuss data. catch female to obtain bait protein a uses study this less, control
Bactrocera dorsalis Bactrocera
(Hendel), in Taiwan, including in efforts aimed at
tudy on the the on tudy Bactrocera dorsalis S ly ( A F
dorsalis evaluation of ABSTRACT Methyl Methyl eugenol with toxicant is being used to manage the oriental fruit was evaluated based on the number of male adults capt adults male of number the on based evaluated was a simple positive correlation between the fruit losses (or the rate of fruit damage) and the density monitoring data (trap catch data) should is and complex nonlin relationship exist, but studies have shown damage is the that fruit male adults, captures eugenol be it that could For methyl while example, the caused and by primarily are there oviposition, female no good for methods catching female adults. Nonethe rate and the data catch female and eugenol methyl with data catch male between relationships of guava fruit damage. of The and female relationship by male has catch data logarithms transformed a natural positive results from simple data. catch the from female of the 41.9% variation data explained catch The male regression correlation. analysis revealed that t The of in was number catches two, female grouped and then logistic analyze the of correlation the female class and the rate of fruit damage. The results showed that of 84.6% the the explained class female in variation the of rate damage. This fruit study also assessed the feasibility of both models Pingtung. Keywords:
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
ata D pixel land - , , respectively 1 - isaggregating D
cover cover classes. A linear -
and and 0.6 ton ha
1 -
ental Sciences
orecasting by F Lee
Shen pectroradiometer (MODIS)
Hsing University Hsing Hsing University Hsing
Hsing University Hsing Hsing University Hsing
- - - - 22872619 -01 S Shien Wu - Lin - - 4 ield - PingWang 06) - Y Yuan Pei 886 Yi [email protected] Chun with various decision makings. Traditionally, field [email protected]
[email protected] s with fractional information of various sub information s with fractional G
[email protected] eloped based on the disaggregated band reflectance and band reflectance based on the disaggregated eloped
of previous years as references. Multiple regression yield the study area could be monitored via observing the time maging maging
NationalChung NationalChung NationalChung NationalChung . . However, the coarse spatial resolution of MODIS data I artment of and Soil Environmental Sciencesartment dering the spatial heterogeneity involved. The involved. dering high the temporal heterogeneity spatial destimation, remote sensing,MODIS minar ( / Se Department of andDepartment Soil Sciences Environmental Environm and Soil of Department Dep Department of andDepartment Soil Environmental Sciences 250 Kuokuang Road, Taichung, 402, Taiwan, ROC. Taiwan, 402, Taichung, Road, Kuokuang 250 d NDVIs ) ch (1 Monitoringand esolution r esea R
paddy rice, yiel : rowth
G
Moderate forecasting models were also dev were also models forecasting historical yield statistics. Validation testes indicated village that and the county root levels mean were square about errors 1.0 at ton ha disaggregating disaggregating algorithm was developed to retrieve the reflectance rice paddy class on per characteristics pixel basi for covers, covers, and evaluated in a major agricultural production area located in southwestern a Taiwan. Through disaggregating series consecutive of MODIS the imageries, growth within rice paddy of conditions course of normalized difference index vegetation (NDVI) and by comparing with corresponding average Keywords ABSTRACT Timely and accurate crop growth and yield assessments are essential uncertainties to minimize the and risks associated survey must be to conducted provide the it However, required intelligence. is not only very time andcost consuming, thestatistics areusually not immediately available and not enough precise when consi resolution and rapid availability of (MODIS) data moderate provides opportunity for operational crop resolutiongrowth monitoring and yield imaging spectroradiometer estimation via remote sensing results in pixels containing mixtures of different land Rice ensor R inar 6- S Sem 68 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 069 -02
06) is so Th
atellite minar ( / Se S announcing the agriculture, and agriculture, - ) ch (1 r esea remote sensing (RS) and
create new life to the ponds in in to ponds the life new create
ed
to n
utiliz
andscape ontheTaoyuan county, and
environment. environment. The government and l - hotography
P Division
Division Taoyuan county pond database was created
ir ensor R inar 6- S Sem the the eco Hung Tan A Sheng Hsu - The - Li Li Chen [email protected] +886 3 4521314 3 +886
[email protected] [email protected] Resources Chih Chu IrrigationAssociatio Engineering onds in Taoyuan Plateau by by Plateau Taoyuan in onds Chia Chung Hua University Hua Chung - Civil Engineering Dept. Engineering Civil 1, ChungYuan Rd., Taoyuan Rd., ChungYuan 1, - P Hsin 196 ponds in the Taoyuan plateau were developed for farmland farmland for developed were plateau Taoyuan in the ponds
Agricultural Engineering Research Center Research Engineering Agricultural and implemented a comprehensive survey for the ponds.
arly inhabitants. Due inhabitants. to arly the area number, large and density of photography to photography the identify water bodies, and to compare the ” magery and
I ands during 2004 to 2011. 2011. to 2004 during
gricultural years because many of themany because use years to land change non agricultural
A
Agricultural Pond, Satellite Imagery, Air Photography, Formosat II Formosat Photography, Air Imagery, Satellite Pond, Agricultural
national wetl documented documented the results of survey which “ ords:
w Survey of the Taoyuan area. Taoyuan the Key
for the government to manage and utilize the ponds and and ponds the utilize and to manage government the for geographic information system (GIS) technologies to analyze high resolution Formosat II II Formosat resolution high analyze to technologies (GIS) system information geographic satellite imagery and air decline and growth paper dramatically dramatically change the landscape and ponds NGOs recognized the historic, social, and values of thesocial, the ecologic NGOs ponds, recognized historic, ABSTRACT The thousands of rapidly thedisappeared ponds However, ponds”. thousands of a “county name of earned the during 30 last the water bodies, the ponds created a characteristic characteristic a created ponds the bodies, water the irrigation adjustment by e adjustment irrigation
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
After
ystem ystem
S
apturing reenhouse C
G
mage mage I
sensor nodes. The wireless sensor node 4633 , capture image microcontroller, bit - - e camera resolution of captured image is n a greenhouse, to monitor and collect Lin Lin Chen
- gricultural 265 @cycu.edu.tw - -03 3 A - Yaw Yaw Chung - 06) of Electronics Engineering Electronics of of Electronics Engineering Electronics of Chien +886 [email protected] Wen el g9876606 uality and increase crop production under controlled
r node that have a ZigBee module for wireless wireless for module ZigBee a have that node r
tion tion and quality of agricultural crops. In this study, a hung Yuan Christian University Christian Yuan hung hung Yuan Christian University Christian Yuan hung C C Monitoring and igBee for Department Department minar ( / Se Z 200,ChungPei Rd., Chung Li , Taiwan 32023 , R.O.C , 32023 Taiwan , Li Chung Rd., 200,ChungPei ) ch (1
ireless W In idle mode, the wireless sensor node consumes 34 milliamperes. consumes node sensor the wireless mode, idle In r esea ased on
B wireless sensor network, cc25308
:
ords
w Design of
The wireless sensor node environmental information and captured was images that are installed then transmitted to i a remote computer server. Windows wireless the from application received information of storage software was developed for the in installed the can that ranges collectiongreenhouse from measure minus temperature 55 to plus and the 125 degrees; Celsius from of range 0humidity relative to 100 the percent; of range light intensity from 1 to 64000 lux, and pixels. 320x240 th ABSTRACT optimum to achieve environment the of natural is a modification agriculture Greenhouse plant growth that improves the environment. q Agricultural activities are affected ambient temperature, relative humidity by and light intensity; in environmental turn, these factors factors have such significant impact as in the produc with system sensor network to based image capture was wireless monitoring developed is The system environment. crops in a of greenhouse condition the and assessed monitor composed of a communication, environmental sensors for temperature, relative humidity, and wireless ambient senso lightsensing and cameraa modulethat takes snapshot images inside thegreenhouse. the the field test results, the applications. agriculture proposed precision system shows a potential market and value for Key precision agriculture precision ensor R inar 6- S Sem 70 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 071 -04 06)
minar ( / Se ) ch (1 griculture A r esea climatic conditions. The
-
ervicesin
postal address postal
S rce Engineering Engineering rce ology Bombay ology meteorology data. In over India, different meteorology -
@iitb.ac.in @iitb.ac.in 25767689
- ensor R inar 6- S Sem Tripathy ased water water resources utilization and effect of - 22 - B [email protected] S.S. Durbha S.A. Sawant soil A.K. +91 - sdurbha time time agro aktripathy - locational sensor data discovery. It is possible to model model to possible is It discovery. data sensor locational - [email protected]
real ensor Adinarayana Jagarlapudi Jagarlapudi Adinarayana S Indian Institute of Technology BombayIndian of Institute Technology Indian of Institute Techn Indian Institute of Technology BombayIndian of Institute Technology BombayIndian of Institute Technology Centre of Studies in Resource Engineering Engineering Resource in Studies of Centre Centre of Studies in Resource Engineering Engineering Resource in Studies of Centre Centre of Studies inResou Centre of Studies in Resource Engineering Resource in Studies of Centre Powai, MUMBAI 400 076, India 076, 400 MUMBAI Powai, tors on crop grown under different agro ablement ablement architecture, which provides syntactic standardization for ocational ocational L
- Wireless Sensor Network, Sensor Web Enablement, Precision Agriculture Precision Enablement, Web Sensor Network, Sensor Wireless
Geo rds: o climatic conditions (semi arid region of Andhra Pradesh and coastal region of based service oriented applications have capabilities to provide information on crop on crop information provide to capabilities have applications oriented service based - w - ABSTRACT Advances Advances in Wireless Sensor (WSN) and Communication Networks has achieved the to capability seamlessly gather
agro Kerala), WSN based field level experiments were practices. The conducted to study monitor explains cultivation about Open Sensor Geospatial Consortium Web (OGC) En compliant geo in ease and access ubiquitous and quantify environmental variations fac in crop web water water requirement, vulnerability of crop towards pest/disease, etc. for better decision making. Key
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
1 -
lectrical E ngineering, ngineering, E E ystems S lectrical lectrical , IntegerLinear cience and and cience E E S epresented by the binary
etwork N Making
cience and cience and nformation nformation S S 0395 -
,
ensor
S
ramework
nformation nformation nformation u.ac.jp F
u.ac.jp - , - u.ac.jp u.ac.jp - - 3644
-
s constraints are reflected by assignment of 0 ’ Ku, Fukuoka, 819 Graduate School of I of School Graduate -05 ireless ireless 802 - ResearchCenter - ,
aking Faculty of I of Faculty I of Faculty y y linear functions of the variables, which finally ngineering , , W 06) E M LSI 092 Kyushu University Kyushu Akira Fukuda KyushuUniversity KyushuUniversity KyushuUniversity
Kenji Hisazumi Kenji Mohammad Fajar Mohammad Tsuneo Nakanishi [email protected] [email protected] [email protected] [email protected] System ecision plied to the case study of the WSN system family for field minar ( / Se 744 Motooka, Nishi Motooka, 744 D gricultural A a member of the system family, is performed by configuration of (SPL) (SPL) is a promising paradigm to develop efficiently various A
) ch (1 i.e. s requirements and system ’ r esea
system, system, Software Product Line, ApplicationEngineering, Configuration, Feature
WirelessSensor Network, Field Monitoring,Decision eveloping
D
ords:
w for Department of Advanced Information Technology Information Advanced of Department Department of Advanced Information Technology Information Advanced of Department Department of Advanced Information Technology Information Advanced of Department
constraints by the constraints system, it can be the for expensive and consuming scale system time large family. This paper proposes a decision making framework with integer linear programming (ILP). Inclusion or of exclusion each function in each system variant is r variable. Farmer core core assets, which are artifacts shared and managed among all the and members by the of farmer family. therequirements to done be satisfy must system configuration this Although agricultural wireless sensor network systems to be deployed in different fields with different with different fields in to systems be different deployed network sensor wireless agricultural crops, technologies, economics, and communities. In the SPL paradigm, development of each variant Programming to the variables. Constraints on selecting functions in each variant system as well as quality quality as as well system variables. to variant each the in functions on selecting Constraints attributes of the system are represented b of ILP. and constraints function objective the become Theconfiguration gives best the ILP for the system to be proposed derived framework was from ap the core assets with monitoring. satisfying the constraints. The Key Modeling, Software product line ABSTRACT ensor R inar 6- S Sem 72 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 073 -01 07)
ools ools for ise” and went wrong ogout? what ar ( / Semin tion
-
op T Ad
030
C inar 7- I Sem [email protected] up and sustainability. This case study intent intent study case This up sustainability. and
, - forward forward and backward linkages hindered to - 793103,Meghalaya, India xtension: Browsing for L
Agriculture,Barriers – - E R. Saravanan R. extension initiative extension for initiative the poor tribal farmers of the digital digital era born leaders, Administrative those who are - Schoolof Social Sciences - in facilitating adoption of adoption new in for farm facilitating the innovations
Collegeof PostGraduate Studies Initiative. There are number of institutional barriers like; - Central AgriculturalUniversity (CAU) writing machines” are “sceptical” to use new ICT t - (IT) research organisation (IT) and research university in organisation agricultural India. Phone: +919436054939;Fax: +913682570 gricultural Umiam (Barapani) (Barapani) Umiam
east east region of India, piloted jointly by the renowned public supporting supporting services A - [email protected] titutes titutes were loaded with different institutional, cultural and
Extension,Farmers, India, e
ords: Initiative for
holders intermittently halted the progress in the name of rules, especially in financial in financial especially rules, of name the in progress the halted intermittently holders - w e ABSTRACT This case study deals about an e lack of flexibility and limited innovation facilitation skills and also other few institutional institutional few other also and skills facilitation innovation limited and flexibility of lack stake matters than actual research. Pre all along with “type worked farm services the and advisory discouraged team. Project project regularly they heavily in the implemented was project this because attitude, tourism” “project the with suffered one of the remotest corner collaborators had of the a country scaling reason pilot’s ICT the hindered and enormously and dubbed logistics as to “hidden visit parad the project area. Above factors most backward north Technology Information livelihood improvement of small and less marginal content, farmers based need of lack along However, with services. the deliver positive and to avail cost impact and time on infrastructure, limited realise full potential of the e to discuss the project stakeholders experience in an undefensive way Project Project was with initiated the of partners” expectation and “compatible complementing will create synergy to move forward, but experiences showed divorce”. that it was “marrying Both for ins environmental settings. For three years, project team successfully ICTs integrated modern with of potential ICTs demonstrated traditional extension to disseminate the farm information. Project and and why? what lessons it gives for the ICT in practitioners developing and countries? howto it.fix Key
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 s
Role
-
del suggests that 110012, INDIA
- etworks in India in etworks N
11.25842938
Punjab, Haryana, Bihar Uttar Pradesh, and Punjab, Haryana,
Mehar
- nformation I odern ICT Modern [email protected] Surabhi Mittal [email protected] Mamta Mamta -02 of 07)
verall development of agriculture as well improving the availability of new inputs or technologies or seed variety; or seed variety; new of or technologies inputs availability
armer’s F Tel:+91 9711154443; Fax: +91. rces rces and is linked to networks, but various information usually
International Maize and Wheat Improvement Center (CIMMYT) India (CIMMYT) Center Improvement Wheat and Maize International International Maize and Wheat Improvement Center (CIMMYT) India (CIMMYT) Center Improvement Wheat and Maize International ar ( / Semin tion
CG Block, NASC Complex, Todapur Road, Pusa, New Delhi New Pusa, Road, Todapur Complex, NASC Block, CG Access to agriculture Information, Agriculture Information Networks, Networks, Information Agriculture Information, agriculture to Access
economic economic backgrounds and to understand the between relationship farmer’s - op T Ad ssessment of of ssessment
farmers. The paper uses data from primary survey conducted by CIMMYT in 2011 economic economic characteristics and use of modern information and communication A -
nology like as mobile phones and internet based model in accessing information. accessing in model based internet and phones mobile as like nology
An nformation receive via different sources of information for farmers with different income income different with farmers for information of sources different via receive nformation the the flow of information is not accurate, timely and localized or as per the farmer. need of the information delivering in sources information of different role the documents paper This to the for 1200 across five states farmers of India plays a decisive role for the o ABSTRACT the for role In this dynamic world and the scenario, changing decisive of provision information agricultural a plays livelihoods of farmers. Agriculture information due requirement primarily need Farmers to and a climatic conditions diversification. changing wide is changing constantly as such of information variety about or for selling disease outbreaks information market information weather forecast, of output; and price information of both inputs and various sou crop information production etc. Farmer has West Bengal. The objectives of the paper is to evaluate the nature, adequacy and usage of of andusage adequacy nature, the evaluate to is paper the of objectives The Bengal. West i and socio socio tech Since the farmers use multiple sources for information Since and use the the for sources information farmers to decisions select multiple these sources are not information likely to different be between mutually exclusive thus a preferences probit multivariate farmer’s i regression affect that factors the examine to used to access size, farm level, education age, are decisions these influencing Factors sources. mo empirical the of finding The phone. mobile to access and TV or radio farm size and education level plays crucial role in information. of farmer’s sources decision to use different Keywords: multivariate probit model, India model, probit multivariate
C inar 7- I Sem 74 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 075
-03
07) ystem S ar ( / Semin tion
y y and staff reach op T Ad anagement
ge and expertise to the public. M
rograms P
C inar 7- I Sem
nships nships and assist in marketing institution lientele 3217 - C
xtension Gainesville, FL32611 , E Extension t of Science Computer t [email protected] grant universities is a partnership between federal, (352)846 - [email protected] HuafengJin [email protected] [email protected] Jiannong Xin
Pete Vergot III Santa Rosa County Rosa Santa Friday Theresa University of Florida of University date tailored knowledge to each targeted clientele via the via clientele targeted each to knowledge tailored date and University ofUniversity Florida/IFAS University ofUniversity Florida/IFAS University ofUniversity Florida/IFAS - to - Office of Information Technology Information of Office Departmen PO Box 110350 gricultural A ubscription and S sonalized relevant information. information. technologies relevant information in sonalized Advances
for
Subscription, clientele relationship management, information delivery, delivery, information management, relationship clientele Subscription,
entralized C ords: paper paper describes a centralized system named Subscription Management System (SMS),
w A which which allows extension clientele to receive information relevant to nts and announceme articles, publications, them. clients to Extension select and newsletters, receive SMS allows events. of upcoming notifications SMS so is users may interested that select customized topics as a subset of entire topic groups from various county websites through an Application Programming Interface (API). Authorized county extension facult extension clientele and deliver up deliver and clientele extension SMS. SMS provides a meansand extension faculty between to communication facilitate their clientele to further strengthen client relatio efforts. extension future of profiles client delivery the activities, on with clientele improve reports to faculty SMS extension and provides needs clientele understand to distributions and programs. Key agricultural Extension enable enable Extension faculty to communicate with clientele and audiences. find to targeted contents new to relevant push the ability by channels improving programs to Extension deliver This Today’s Today’s Extension publications are delivered to the public through various customersdemand channels per and ABSTRACT Extension in the U.S. through the l state, state, and county governments to provide knowled scientific
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
about
ting their tudy
in to account in analysing analysing in account to in
Indonesia
-
questionnaires in West Java province. questionnaires
8627860
- 251 - Setyo Pertiwi Setyo +61 [email protected] -04 Agribusiness Bogor Agricultural University Agricultural Bogor 07) of Mechanical and Biosystem Engineering Engineering Biosystem and Mechanical of IPBDarmaga Kampus, Bogor Department Department ar ( / Semin tion
information needs, ICT infrastructure, ICT adoption, agriculture, agribusiness agriculture, adoption, ICT infrastructure, ICT needs, information
inadequate access to information. A survey A has survey been out tocarried to access s information. inadequate op T Ad ords:
w
Information Technology Adoptionin Indonesian Agriculture and To date, agriculture To date, is agriculture to remaining be a sector strategic in besides However, Indonesia. its growth, there are also issues several and problems being which, challenged, among others, is ABSTRACT Key the information required by Indonesia, small adoption scale level agriculture of of as ICT as level well suppor adoption information andfor information, required the accessing and agribusiness communication practitioners technology (ICT) in for operations. The survey was conducted This by paper using discusses thetaken be survey will areas, results. rural in Supplyinfrastructure ICT side, of includingavailability the the informationsources and the survey results. ICT adoption constraints as well as the remedial steps expedite the required ICT adoption to are alsodiscussed.
C inar 7- I Sem 76 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 077 -05 07)
echnology echnology T ar ( / Semin tion
op T Ad
heir heir Children T
Agricultural 0002, Japan 0002,
-
-
iculture
hrough C inar 7- I Sem ecosystem Services T u.ac.jp u.ac.jp mail.com - tokyo.ac.jp Mori -
ko rmers Mie University Mie Mie University Mie Mie University Mie NPO Pangaea NPO Pangaea NPO Pangaea Toru Ishida a DonghuiLin Kyoto University Kyoto Kyoto University Kyoto Yumi Ryoichi Ikeda [email protected] F [email protected] Akane Takezaki Akane Takashi Togami Takashi [email protected] [email protected] Seishi Ninomiya [email protected] Yasukazu Okano Yasukazu [email protected] kameoka@mie- [email protected] The University of Tokyo of University The Takaharu Kameoka Takaharu Toshiyuki Takasaki Toshiyuki spikey0609@hot Kyosuke Yamamoto Kyosuke [email protected] [email protected] Tokyo University of Agr Tran Than Thi Ngan Hoa Ngan Thi Than Tran Graduate School ofBioresources Graduate School ofBioresources Graduate School ofBioresources National Agricultural Research Center Research Agricultural National 1 Midoricho, Nishitokyo, Tokyo 188 Tokyo Nishitokyo, Midoricho, 1 - Ministry of Agriculture and Rural Development Rural and Agriculture of Ministry lliterate 1 ommunication (YMC) ommunication I - - Agro Sustainable for Institute 1 National Agriculture and Food Research Organization Research Food and Agriculture National C ransfer to Mediated T Youth
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
. to
, (2) help advices advices such as (1) as (1) such , however,
cards to cards the experts to agriculture of
approach in several in several approach
of farmers and and to receive
the , We We had a test bed at a o transfer the
sustainable of
, (3) graphical graphical (3) , in order to help in order
, (3) t utilize foreign experts and to Illiteracy promote promote to usefulness
their queries
nterview nterview their parent farmers about present i nformation nformation and knowledge. In this study, we i o
to make ssengers between their parents and remote experts remote and parents their between ssengers (1) t achine achine translator to -05
have have realized the as me 07)
children sufficient available available in a village centre
paddy paddy rice families participated. Though we are still on a o send the queries to remote experts
For this idea, we provided several new new mechanisms several we provided idea, this For 29
. children, information transfer, human sensors human transfer, information children, , (2) t (2) ,
which help help which advices ar ( / Semin tion er and and (4) to collect information such as temperature and crop status in their
Illiteracy, : understanding, understanding, and (4) m century particularly in developing countries. op T Ad
’ . st s s to evaluate the idea, we
roper technology transfer to is transfer inevitable farmers roper technology ser friendly software to ease the information exchange among children and experts children among exchange to ease the software information ser friendly ommon Q&A sets u c farmers feedback prop feedback parents’ fields by using analogue tools and mobile phones mobile and tools analogue by using fields parents’ from them by operating PCs their parents guarantee guarantee the of extensibility the approach to other countries. proces aspects Keywords ABSTRACT P In In this model, children’s tasks are propose a totally new idea to transfer agricultural knowledge and information to illiterate illiterate to information and knowledge agricultural to transfer idea new totally a propose utilizes which (YMC) Communication Mediated Youth named model a on based farmers school at educated children their prevents prevents them from obtaining village village in Vietnam and the 21 issues issues in their faming
C inar 7- I Sem 78 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 079 -01 08) ps
( Seminar 1) /
( ems t s y ystem
S
nquiry I Yao Chen
23317711 Hwi - Jen - 4 - - eather 886 + Ming W [email protected] Chun t S Suppor ecision inar 8- D Sem Agricultural Engineering Division Engineering Agricultural Agricultural Engineering Division Engineering Agricultural Taiwan Agricultural Research Institute Research Agricultural Taiwan Taiwan Agricultural Research Institute Research Agricultural Taiwan friendly agricultural weather information service. information weather agricultural friendly - ural weather, disaster, GeographicInformation System. Agricultural
Agricult
g g function to inquire about the of probability weather disasters (such as rainfall term term weather tendencies in different regions, instantaneous weather information, - igins igins of the 24 solar terms, proverbs, Farmer's Almanac and query of weather for for the next planting season. This system also provides long weather information such as weather disaster prevention technology, conversion or of researchers and companies weather farming farmers, provides It terms. measurement solar between units, information user and abundant an Keywords: The “Agricultural Weather Inquiry System” Research developed Institute(TARI) provides by interactive search the via Taiwan Internet search maps. Agricultural for Farmers the can nearest weather station and surfacin weather information, and use be used can This information the damage). wind and damage cold damage, spatial drought damage, of cro type and suitable the select disasters from crops current to as protect a reference ABSTRACT
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
time data, - d visualize the ebsite tions. This function W ng farmers ng with farmers the
rk integration system
romotion P
il, il, and climate on the map page. This
-02
arch Institute 08) ertilization ertilization
Sen Liu 23317426 F Yuh Guo to the experimental the to procedure experimental of every unit. Every unit - -
- 4 Wen Lin - stations to query and share data. The available functions - Yu 886 [email protected] [email protected] + [email protected] Tsang Horng ( Seminar 1) / armer armer base, the TARI and all agricultural research and extension ational R DivisionAgricultural Chemistry of DivisionAgricultural Chemistry of DivisionAgricultural Chemistry of ). ). This system utilized GIS technology to integrate the spatial ( ems TaiwanAgricultural Rese Institute Research Agricultural Taiwan Institute Research Agricultural Taiwan t s y tional fertilization demonstration points demonstration tional and fertilization the test data of farmlands with related related GIS map data of weather, climate, and aerial orthoimage, by means of -
n n stations, we had spatialized the test data according to their cadastral data or addresses. Once Analysis service; nutrients diagnosis; fertilization recommendation fertilization diagnosis; nutrients service; Analysis
Establishment of the of Establishment an Agricultural Research Institute (TARI) and all agricultural research and extension stations are ding ding the agriculture
http://taiwansoil.tari.gov.tw/slimsGIS/ designed designed to provide a universal analysis service and laboratory management system. Such a system can be specifically tailored to an operating system pursuant We We proposed a system that can integrate Taiw the analysis service and laboratory management systems of the ABSTRACT allows operating units and can development aim for the ofinclusion the data from theother units and the interfacing of the real public to raise analysis query intuitively. The future data integration information about rational fertilization points, farmer sample points, so inclu databaseor WMS publishingto maximize the efficacy of the system. Keywords: canvalues. test visualizeand crops the different teston based sample histograms and with charts cadastral line plot can data module on the sample point in a GIS screen. The For the of an statisticalpurpose f serving extensive chart stations have been conducting researches on points by providi and rationaldemonstration about the farmlands rational research information fertilization and accumulating the test data sample of test many service. Once the basic collected map by the data TARI was with obtainedthe GIS by platform, integrating we dataintegrated the by and climate addingcompared the and the farmland, data soil climate, of mapand soil ra datacadastral data. With regard to exploiting the full potential of the spatial application of farmlandcirculating test data and such( data, we built the rational fertilization netwo is is responsible for maintaining their respective operating data from the systems.analysis service provided by every unit, themintegrate The with other map data, TARIan would consolidate the spatial include sample query, sample point visualization,andsta extension research all from agricultural testresults sample to the view researchers and statistical chart. The sample query function allows the data was integrated, we developed an integrated analysis service query system TARI for and the all researchers agricultural research in and the extension To effectively share the test data from the analysis service provided by the TARI and all agricultural research agricultural all and TARI bythe provided service analysis the data test from the share effectively To and extensio integration results in a friendly way. A statistical making. query module was provided as well to help the decision t S Suppor ecision inar 8- D Sem 80 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 081 -03 08)
( Seminar 1) / ( ems t s y rops of Taiwan C
Division
ystemof
S Chen
Chang
Chang
Tang Lu Tang 23317655 I - Jun - - - 4 Hua Yang - Ping - -
Kuo upport 886 [email protected] Shi Chun [email protected] [email protected] Yuan [email protected] S Tsai Crop Science Division [email protected] t S Suppor ecision inar 8- D Sem gricultural Economics Division Agricultural Economics Division Agricultural Economics A National Chung Hsing University Hsing Chung National Department of Applied Economics Taiwan Agricultural Research Institute Research Agricultural Taiwan Taiwan Agricultural Research Institute Research Agricultural Taiwan Taiwan Agricultural Research Institute Research Agricultural Taiwan Taiwan Agricultural Research Institute Research Agricultural Taiwan l technology system database, farming plan, management support, support, management plan, farming database, system technology l
Management
Agricultura ir agriculturalir management.
benefit analysis benefit Study on on Study - Keywords: ABSTRACT cost management data for their reference so as to facilitate the development and and development the facilitate to as so reference their for data In the Program, we intend to establish an technology system agricultural database for crop management, expecting to improvethe provide existing or new This database will farmers allow them a to new reasonably assess management management strategy benefits and obtain to implementationof the related managementplans.
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
erence. erence.
ndustry Ii marketing. This -
orm consists of two loriculture
F
-04
08) Tsai
Chang
Chiang
Yen 23317650 - - E 4 - nternational - I Ping - 886 heng + Hsiu he C [email protected] Tsai [email protected] ( Seminar 1) / T [email protected] ( ems Taiwan Agricultural Research Institute Research Agricultural Taiwan Taiwan Agricultural Research Institute Research Agricultural Taiwan Taiwan Agricultural Research Institute Research Agricultural Taiwan t s Service Division and Agricultural Economics Division Economics Agricultural and Division Service y latform for Technical Service Division and Agricultural Economics Division Economics Agricultural and Division Service Technical Technical Technical Service Division and Agricultural Economics Division Economics Agricultural and Division Service Technical P s, we can get more complete data of flower production of flower data complete more can get we s,
ure database, we collected important literatures in relation to major flowers, flowers, to major relation in literatures important collected we database, ure
Floriculture Floriculture industry, information platform, international market, market
r and accumulate literatures, satisfying the needs of the floriculture industry. thefloriculture of needs the satisfying literatures, accumulate and r
STRACT
Information information information platform provides a query function pertaining to “World Trade Volume,” four “Trade Flow major of categories: Major Countries,” “Topic,” and “Production Data.” For the literat has what sharing and feedback gathering By learned. we what shared and them organized been learned the from experience the members of this system, the database can rapidly gathe Keywords: competitiveness competitiveness Flower production is one of the fastest growing domains of agriculture. As the the As agriculture. of domains growing fastest the of one is production Flower competition in international flower production is fierce, the logistics, and information, ref maker’s the for decision be the must sufficient the of production management and collected and subject, major the as crop floral the selected that study this of The aim data to an and establish information industrial and literature domestic foreign organized platform for the floriculture industry. The framework of the platf databases:digital database andliterature database. The main data sources of the digital the and Center Promotion data incorporated database of marketing in Taiwan. By data are gathering from the AIPH and Japan source these from Flower AB t S Suppor ecision inar 8- D Sem 82 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 083
-05 08) leading leading
. rogeny ystem of P S constructed by the of cows of
( Seminar 1) / ere g information such as such g information egrated egrated information of ( ems t upport upport mprove s I y
S
Farmers can plan the breeding strategy breeding the plan can Farmers
ecision
) ) is developed by Hsinchu branch,
.
Mating to
D
dairy dairy bull for mating to improve progeny
Executive Yuan , Executive Yuan , Executive Yuan Chen
h 911693#239 ull forull : a simulation mating system which can be queried queried be can which system mating simulation a : HuaLee - Li Li Chang - Yi - - B ed semen information tables w tables information ed semen 37 - Livestock Research Institute, Institute, Research Livestock dairy dictionary to afford dairy farmers advanced h
Ji erformance Kuo Chu 886 [email protected] P + module [email protected]
[email protected] airy and
based based economy age, which is the first dairy professional
- pplication of
Branch,LivestockResearch Institute, Branch,LivestockResearch Institute, t S Suppor ecision inar 8- D Sem Branch, D
Departmentof animal science Departmentof animal science Departmentof animal science
A module is to increase DHI program value, which provides DHI DHI provides which value, program DHI to increase is module chu http://www.tlrihc.gov.tw Council of Agriculture,Council Council of AgricultureCouncil Council of AgricultureCouncil Hsinchu Hsin Hsinchu of the
by by computer. 4, DHI extended information management (under
s , production information or customized genetic targets to find the suitable suitable the find to targets genetic customized or information production , lite Holstein E
Holstein dairy bull, SBIP, DHI, decision support system support decision DHI, SBIP, bull, dairy Holstein
stablishment and stablishment E electing al information, farm management information, statistics…etc. Dairy farmer could access could to access farmer Dairy statistics…etc. information, management farm al information, S The Livestock Livestock Research Institute, Council of Agriculture. The objective of dairy farming, of management the for applications and development is development knowledge the to promote the industry to a digital, Knowledge cattle breeding internet platform in Taiwan. This performance system consists information of inquiry five with a database a updating Japan), module: Holland, modules: Canada, (USA, 1, performance bull dairy the international Bull module provides int developed traditional Chinese interface for dairy farmers' semen selection. 2, The import module: Imported inquiry frozen material genetic the latest cow performance information to improve the efficiency of breeding and management. 5, 5, management. and breeding of efficiency the improve to information performance cow latest the Dairy expert knowledge base module: Includes professional dairy farmin Hsinchu Hsinchu Branch which can simulation Mating Bull 3, information. provide dairy farmers the identification animal by latest national semen mating importation bulls for construction): The purpose cow gener Dairy Farming News digital books ABSTRACT Decision Decision support system of selecting elite Holstein performance (SBIP, website: media. educational This SBIP system helps farmers receiving updating genetic of information cow DHI of information digital and semen) (frozen bulls easily to achieve good performance, ideal body type and longer production life production longer and type body ideal performance, good achieve to easily Keywords:
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 The
color color - inctness, inctness,
lowers F ecognition ecognition R
, , before sending in an e up containing to 24 sorted
attern P
h an two and SQL database includes
-06 based based Phalaenopsis image recognition
- 08)
25825426 - 4 YennChou - rieties. Peng Huang - - GuongJang 86 - xtraction and 8 valuations of Phalaenopsis E + [email protected] [email protected] Lih [email protected] Ming E ( Seminar 1) / Shao specified specified target flower to retrieve color features from the strial Technology Research Technology strial Institute - into into the first and second color primary groups. Four feature ( ems t Indu eature s Council ofCouncil Agriculture, the Yuan Executive Council of Council Agriculture, the Yuan Executive y F imilarity imilarity Information & Communication Technology Department, Technology Communication & Information S Technical Service Section, Taiwan Seed Improvement and Propagation Station, Propagation and Improvement Seed Taiwan Section, Service Technical Technical Service Section, Taiwan Seed Improvement and Propagation Station, Propagation and Improvement Seed Taiwan Section, Service Technical variety database has been established based on feature analysis. The similarity based The has on been database established similarity variety analysis. feature
Phalaenopsis, Phalaenopsis, species color identification, features, Euclidean distance, flower
rograms for Development of
ties ties for The development. agricultural industry government innovation encourages by P
identification Keywords: information information from the database, such as flower size or if it compared is tothe a target flower, mixed is recorded. color Finally, flower the when nameof aneligible flowervariety with close is similarity saved into a with corresponding file, each fil testing program Actual species. flower target to the similar characteristics with denominations has been shown to deliver the expected by functionality providing a reference for experts reviewingnewly submittedPhalaenopsis va database database to calculate Euclidean distance and to determine the degree of similarity. matching matching subroutine uses a user values of the hue and saturation derived from the first and second primary colors are used to colors used are primary and the second first from derived of the hue values and saturation form a feature vector of the Phalaenopsis flower that is logged into the database. Currently, a 130 uniformity, stability, and denomination of the flower variety being submitted. As applications applications As submitted. being variety the flower of denomination and stability, uniformity, increase, so does the workload to check and ensure that newly already submitted flowers are registration the registered, not help to internet which the on check could independent an perform must result owners application, in a waste of time. process become more Thus efficient. We developed a PC implementing a registration system to protect owner interests. To be in interests. owner system to included the protect system, a registration implementing applications must be thoroughly reviewed by experts to verify the novelty, dist ABSTRACT Orchids, with a production value of the top government NT$3.2 one of is also It markets. billion in international and domestic 2010, both the for industry are an important Taiwanese priori
program using Borland C++ Builder C++ using 6.0 Borland program Builder that works wit subroutine The extraction feature matching. and extraction similarity for subroutines feature 10 a to according it by classifying petal target flower a of hues image color the analyzes category scale and ranks those t S Suppor ecision inar 8- D Sem 84 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 085 -01
09) pms - XML among a
data. But
gricultural a al system
ased on B , FarmXML,, , , named FIX inar ( ty / Sem abili
, we developed oper
ystem ystem erms erms used in agroXML and other XML t er t S data exchange FarmXML
pms,
-
IX
ords or
F
& In tion
develop w
a a part of 7026 diz - ntegration I
into our SMW system SMW our into 838
- r anda 29 - ata AgriculturalResearch Center Kei Tanaka Kei Takuji Kiura Takuji D rmXML two rmXML and tools we in developed We detail. [email protected] [email protected] +81 [email protected]
[email protected] MasaakiOmine Shigehiro Honda [email protected] TomokazuYoshida nondai,Tsukuba Ibaraki, 8666, Japan kinawa - the the words used in Agricultural Research Center Research Agricultural Agricultural Research Center Research Agricultural Agricultural Research Center Research Agricultural emanticMediaWiki
S Mitsubishi Space Software CO.,LTD. Software Space Mitsubishi put d agroXML already exists to exchange agricultur exchange to exists already d agroXML n 1, Kan e t inar 9- S Sem - 1 ted collecting Japanese Kyusyu O - 3 nam gricultural National Agriculture and Food Research Organization Research Food and Agriculture National National Agriculture and Food Research Organization Research Food and Agriculture National National Agriculture and Food Research Organization Research Food and Agriculture National National Agriculture and Food Research Organization Research Food and Agriculture National A
. Data Exchange, Agricultural Field Virtual Data, Integration
ords: pms w Proposal of - oftware by using Semantic MediaWiki (SMW), to (SMW), MediaWiki Semantic using by oftware Two years ago, we star we ABSTRACT ago, years Two them them and create a database integrated for virtually field agricultural data. In Europe, a XML schema standard s unfortunately, some items, required and stored in Japanese agricultural software, are not software, in agricultural and stored Japanese required some items, unfortunately, defined in agroXML. Therefore, we developed also also propose the way creating a virtual integrated database SMWsystem for agriculture using our Key schema import tool. We also developed a relation viewer among the viewer among in our terms We a tool. SMW also developed schema relation import system. In this we report, describe Fa FIX referencing referencing ToagroXML. i schema relating agriculture data description
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
– lution at
PMH was - entral ta’s records’ records’ ta’s line Papers in C
- PMH so -
porting porting OAI
rchives for
A epository
-02 R 09)
Protocol for Metadata Harvesting) is ocal
L
–
y of Economics and Management and Economics of y the analyzed software doesn’t fully provide provide fully doesn’t software analyzed the
quaculture There There was not available OAI A Jiri Vanek ontentof Pavel Simek Pavel +420224382270 [email protected] [email protected] Michal Stoces Michal Jan Jarolimek [email protected]
C [email protected] inar ( ty / Sem abili PMH PMH solution itself for the needs of CULS Prague
PMH PMH requests and harvesting data from individual - - spread standards HTTP (Hypertext Transfer Protocol) and - oper PMH PMH provides a simple technical means to make metadata from er - it isnot possible toinstall freelyaccessible SWand run it atthe t
Czech University of Life Sciences Prague Sciences Life of University Czech Czech University of Life Sciences Prague Sciences Life of University Czech Czech University of Life Sciences Prague Sciences Life of University Czech Czech University of Life Sciences Prague Sciences Life of University Czech – ng OAI Kamycka129, 16521Prag ue, Czech Republic griculture and & In tion PMH PMH (Open Archive Iniciative a - A roviding P diz for example DSpace, Drupal, etc. The Drupal, of for DSpace, result example proved the that analysis Department of Information Technology, Faculty of Economics and Management and Economics of Faculty Technology, Information of Department Department of Information Technology, Faculty of Economics and Management and Economics of Faculty Technology, Information of Department Department of Information Technology, Facult Technology, Information of Department Management and Economics of Faculty Technology, Information of Department
– r anda : Metadata,: content, repository,protocol for metadata harvesting,VOA3R
paper paper we discuss basic objectives, methods and results of the implementation of
Metadata riculture riculture and Forestry conference archive. In the case of the above stated local archives
Czech University of Life Sciences Prague or of Sciences Prague that Life University Czech required service. This was the main reason why the Czech University of Life Sciences Prague Prague Sciences Life of University Czech the why reason main the was This service. required and storing metadata of for a new repository consisting solution its own universal developed an application for Prague. Sciences Life of University servici Czech the of repositories Keywords ABSTRACT In In our metadata harvesting from the electronic scholarly open access journal Agris on repositories at CULS Prague and a content of the repositories was not descripted in metadata. metadata. in descripted not was repositories the of content a and Prague CULS at repositories Before the implementation of an repositories analysis of free and easy to OAI install software (SW) sup carried out reasons technical of because XML XML (Extensible Markup Language). Economics and Informatics, agrarian WWW portal Agris and Information Systems in in Systems Information and Agris portal WWW agrarian Informatics, and Economics Ag version 2.0 of OAI open open to based on services widely used for metadata harvesting. This protocol defines the mechanism of the metada the of mechanism the defines protocol This harvesting. metadata for used harvesting. It means that OAI t inar 9- S Sem 86 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 087 -03
09) to
the the the also
have for
we
clarify
use in this to target area area target the potential anddeveloped a
growth growth stage, unctions
as a result of result a as F in inar ( ty / Sem abili ility
itself, and itself, a handling
e oper etail er mov t
changes changes eld Server consists of a Field a Field of consists Server eld D Fi image image data has and movab and
key technology for
8666,Japan
ic - Movability farming operations and the growth growth the and operations farming A
ility
collect image data in detail because
& In tion
egarding robot a
aki 305 aki overage, overage, to measure many targets with to and We We conducted an experiment to collect
7177 diz collected at low cost resolution so so that it can - mages in I as moved around the field and and field the around moved as
838 w - with flexib r anda isturbs some 29 - easily easily d . . High Takuji Kiura Takuji arget [email protected] +81 [email protected] [email protected] target crops
lexibility T Division, Agricultural Research Center Research Agricultural Division, Division, Agricultural Research Center Research Agricultural Division, Tokihiro Fukatsu Masayuki Hirafuji Masayuki
F Field Server. The the
Field Server Server Field ic such such as Field Servers. s s out of the way. p stage and condition. and stage p
s including information r information including t inar 9- S Sem 1, Kannondai, Tsukuba, Ibar Tsukuba, Kannondai, 1, - robot degree of maturity, of and degree maturity, so it on. is However, to difficult deploy 1 - object ollecting 3 monitoring system National Agriculture and Food Research Organization Research Food and Agriculture National National Agriculture and Food Research Organization Research Food and Agriculture National National Agriculture and Food Research Organization Research Food and Agriculture National Agroinformatics Agroinformatics C the the image data captured data image to in captured close proximity the can be targets unclear wide wide and dense c monitoring ystem with
S
effectiveness of the locomotive monitoring system. monitoring locomotive the of effectiveness
advanced obtain image data, Field Server, mobile robot, crop monitoring crop robot, mobile Server, Field data, image
Memuro Upland Farming Research Station, Hokkaido Agricultural Research Center Research Agricultural Hokkaido Station, Research Farming Upland Memuro an to depending on the cro the on depending
ords: w solve these problems regarding the collecting of target images in detail, Monitoring development of information technology of information development In In modern it agriculture, has recently become popular to monitor crop status in fields open with sensor network ABSTRACT monitoring is image data that can be be can that data image is monitoring provide useful information information useful provide Server with image sensors, a locomotion unit unit a locomotion sensors, image with Server one device, one to and device, directions, targets from different to approach monitor targets clearly by taking unnecessary as crop type images the proto proto type system of of system type proto potential and Key monitoring monitoring equipment close to occurrence of pests, occurrence due to the effects of wind and the interference of growing leaves, and the the and leaves, growing of interference the wind and of effects the due to deploying equipment within crop fields fields crop within equipment deploying Moreover, of crops. changes To proposed actuator for monitoring targets closely in detail. The features of the proposed system are are system the of proposed The features in detail. closely targets monitoring for actuator intended
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
called Agrifood uthorities is less, than in the -
A ooperative
C pporting the cooperation ased ased B
-04 overnmental 09) given harmful or useful ingredients. ingredients. useful or harmful given
rom the small family farms to the big big the to farms family small the rom
G
hu based model building, interoperability interoperability building, model based - 958 -
505 - various various authorities, in the sense of the future
82 - nitial nitial by models, generated the center’s experts, the of Information Technology Information of of Information Technology Information of of Information Technology Information of ctors and +36 Bela Csukas Bela Monika Varga A Sandor Balogh [email protected] Kaposvar University Kaposvar Kaposvar University Kaposvar Kaposvar University Kaposvar inar ( ty / Sem abili varga.monika@ke. [email protected] imulation and Web and imulation S oper the basket of the typical consumers’ groups. consumers’ typical the of basket the 40Guba S, Kaposvar, 7400Hungary er Department Department Department t grifood A ynamic ynamic D & In tion a diz ique identification of ique the identification various products is solved by the of utilization GS1 r anda
rganization for
Incremental Incremental
O
The solution Interoperability outlines Centers an helpcommunication between the the organizational actors and cooperation the architecture, of the where actors, the as well so as the integrated economic paradigm of the neighborhood dominant, cooperative processes. cooperative dominant, neighborhood the of paradigm economic web balance, mass dynamic traceability, Keywords: The methodology makes possible to recognize the (sometimes hidden) resources and wastes, to wastes, and resources hidden) (sometimes the to recognize possible makes methodology The analyze the added values along the chains and, in a longer in time horizon, to appear study how ingredients some investigated center ABSTRACT Sufficient and authorities. global and healthy governmental the with as food well as actors, needs agrifood the amongst new organizing principles, su Recently we have developed a new for approach the and coordination control of the process networks, consisting of quite heterogeneous elements, based methodology Mapping The ERP systems. Computer Direct f with professional companies applies an incrementally evolving model center. Starting interoperability of from the i process states and actions, operated by the model model candatabase be upgraded via a very simple web by interface the actors, the actualizing model dynamic of simulation simplified the gross mass balances for the processes. respective The un globally of simulation can anddynamic be and solved by tracing backward forward tracking Qualitative solving problem the of complexity the while models, process simplified these codes. case case of usual graph search. route In with addition, the of knowledge the known, or measured estimated stoichiometries, the theof tracing or tracking method quantitative the for components can easily be extended with ad hoc determined t inar 9- S Sem 88 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 089 -05 09)
esearch on uan
R inar ( ty / Sem abili oper er t lture, Executive Yuan
cological cological
o.id
E
& In tion a cosystem erm E diz T -
Council of Agricu Council of Agriculture, Executive Yuan Council of Agriculture, Executive Yuan
, , 23317409 Shu Wu Chin Chin Lin Hwi Yao - of Sciences Life - WenChen - Ching Lin Kuei Chan 4 - Kuan Shii - - - r anda Ling Chen Chang Sun - ong - - Chiayi Agricultural Experiment Branch Experiment Agricultural Chiayi L Chun LucyHou , 886 - + [email protected] Ming Hong Jen Chau- Chi Chin Yunlin Branch Farm Branch Yunlin
Win Yueh Chien ch Institute Forest ProtectionForest Division Botanical Garden Division Garden Botanical TechnicalService Division Crop Environment Division Ping gricultural gricultural Department Department Agricultural Chemistry Division National Cheng Kung University Kung Cheng National Agricultural Engineering Division Engineering Agricultural A [email protected] DivisionAgricultural Chemistry of Taiwan Forestry Research Institute Research Forestry Taiwan t inar 9- S Sem Research ofCouncil Agriculture, Station, and Executive Extension Yuan the Department of Agronomy of Department Taiwan Forestry ResearchForestry Taiwan Council of Institute, Agriculture,Executive Y Taiwan Agricultural ResearchTaiwanAgricultural Council ofInstitute, Agriculture, Yuan Executive Taiwan Agricultural ResearchTaiwanAgricultural Council of Institute, Agriculture, Executive Yuan Taiwan Agricultural Research Institute, Research Agricultural Taiwan TaiwanAgricultural Resear Taiwan Agricultural Research Institute Research Agricultural Taiwan ainan District Agricultureainan Research ofCouncil Agriculture, Station, Executive and Extension Yuan ainanDistrict Agriculture T T Cyberinfrastructurefor the
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 on . The stem was was stem
l l phenomena, ed accuracy and ata Language (EML), that -05 09) informatics.The WSN sy Ko Ko Branch Farm in the Chiayi Agicultural - term ecological research, wireless sensing sensing wireless research, ecological term - inar ( ty / Sem abili oper er t & In tion a diz
Agricultural ecosystem, long ecosystem, Agricultural
r anda ords:
w
objective research field three at ofdata ecological and thisenvironmental of collection for study(WSN) network was to - of eco explore methodology new the on based Taiwan in sites the potential of establishinginstalled at wireless the lychee sensor orchard and Station Experiment Chi (CAES) of the Taiwan Research Agricultural Institute (TARI) and the Yuinlin Branch Station of the Research Tainan and District Agricultural Extensi sensitivity high with acoustic and Station. infrared, visual, of thermal, as range wide such a sensors The monitor to site each in installed were data environmental of collection for ambient conditions and ecological parameters, soundscape. ecological and including growth, crop leaching, collected meteorologica Data nitrogen fluxes, eddy by analysis TARI for at server database the to sent were sites experimental three the from researchers. Results showed that the establishment of WSN quality of data environmental collected of from the format three improv The sites as sensors. the of operation from sensors derived problems of detection instant by maintained be could Metad on Ecological the based was study in this collected data internet. by studies ecological of field the in researchers for shared easily be can Key ABSTRACT Extensive Extensive collection and comprehensive analysis of environmental and ecological data are important in understanding ecological phenomena in agricultural ecosystems network, ecoinformatics, EML ecoinformatics, network, t inar 9- S Sem 90 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 091 -01
10) x
Model Bases
( Seminar 2) /
Industrial
( ems t Database Management s y
Corridor Based
Oil
. Palm
Economic
forCompetitiveness Enhancement
for
Yandra Arkeman Yandra [email protected] Hermawan Prasetya Hermawan System Bogor Agricultural University Agricultural Bogor Sumatera
rt S n Suppo Decisio inar 10- Sem [email protected] in ding, 11th Floor, Jl. MH Thamrin 8 Jakarta, Indonesia Jakarta, 8 Thamrin MH Jl. Floor, 11th ding,
Department of Agroindustrial Technology Agroindustrial of Department
Support
National Agency for Assessment and Application of Technology of Application and Assessment for Agency National BPPT2nd Buil Center for Assessment of Policies Policies of Assessment for Center Planning
Decision SupportSystem, Palm Oil Sumatera, Economic Corridor pport decision making in biofuel industry planning were amount and complex, complex, and amount were planning industry biofuel in making decision pport Decision A d industry planning significantly, cause it was designed in line with need of umatera umatera Economic Corridor. Result of the paper were (1)
Data to Data su ABSTRACT data be should and managed used in This design of models. describe will paper certain process planning out industrial to help system support decision industrial based oil palm in S System System of contain five tables, population data, i.e.: palm oil of capacity estate, palm oil while effect, of greenhouse and emission infrastructures regional industry, Keyword: Management System, contain of three models, i.e.: System dynamic model model was of i.e.: System dynamic used three contain to models, System, Management emission predict to employed was models this also biofuel of and demand supply predict of gas greenhouse in Inde cycle life of Performance palm oil, Comparative processing (CPI) was address to determine appropriate location of mathematical palm oil model was industry plant implemented and to calculate optimumTheindustry. DSS capacity can be of to contributed palm decision support making process oilin palm based oil base activities these for result analysis and information
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 ig,
Ratio List) on on and the and Performance)
-02
10) 5650 -
752 of Animal Science of Animal Science - 530 Abbas Ahmadi ( Seminar 2) / James W. Oltjen W. James [email protected] [email protected] versity of California versity Davis at
Department Department Uni University of CaliforniaUniversity Davis at ( ems t 1 Shields Ave, Davis, CA 95616, USA 95616, CA Davis, Ave, Shields 1 s y tion tion for swine; breeding Ration for growing evaluation or finishing
Decision support system, swine, ration formulation, linear programming. linear formulation, ration swine, system, support Decision g swine. The input portion of this module consists of five screens. In the first the first In screens. of five consists module this of portion input The g swine.
ords:
w
Apollo: Ration Formulation and Analysis Programs for for Swine Programs Analysis and Formulation Ration Apollo: osphorus, osphorus, lysine, threonine, and In tryptophan. the third screen (Feed List) the user ABSTRACT The The Apollo program is a package of computer programs for formulating or analysing rations for swine. It of consists six Least modules: cost ration for growing or finishing swine; Least cost ra Feed program; unloading and loading Feed swine; breeding for evaluation Ration swine; growing for module cost formulation ration the least This describes paper editor. library finishin and weight, body ending weight, body beginning enters user the Information) (Animal screen daily gain, overhead cost, breed, sex, feed additives, pelleting, free floor space per p pigs pigs per pen, average ambient and temperature, feed intake adj. In the second screen, (Nutrient Requirements) the program specified calculates animal: the Digestible nutrient energy, crude requirements user ph the for protein, List) Group (Feed calcium, screen the fourth the In phosphorus, library. feed the bio from feeds of list a avail selects ( screen the In fifth group. each feed for maximum or a minimum specify can the user specifies a and a cost least ration minimum then The calculates program or or zinc/calcium. calcium/phosphorus maximum for nutrient ratios (Cost such screen the In first screens: output in as the four the results displays the ratio of the program shows the daily feed intake, daily gain, and cost per head per day. In the second screen the (Ration Composition) program shows the feeds in the ration. In the third screen (Price Range) opportunity price the for each feed. program In the shows fourth screen (Nutrient Analysis) the the displays program the complete nutrient price analysisof the ration. at formulati Key rt S n Suppo Decisio inar 10- Sem 92 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 093 -03 10) ( Seminar 2) / ( ems t
s y and analysing rations for
pasture, herd and weather data.
s
y a República a 5650 -
752 of Animal Science of Animal Science - 530 [email protected] Abbas Ahmadi
PabloChilibroste Peter H.Robinson [email protected] [email protected] Universidad de l de Universidad Department Department University of CaliforniaUniversity Davi at University of CaliforniaUniversity Davis at rt S n Suppo Decisio inar 10- Sem 1 Shields Ave, Davis, CA 95616, USA 95616, CA Davis, Ave, Shields 1 Departamento Producción Animal y Pasturas y Animal Producción Departamento Estación experimental Mario A. Cassinoni (EEMAC) Cassinoni A. Mario experimental Estación Grazing Module for Dairy Cows
: Decision: support system, cow dairy , pasture intake, grazing, ration
PC PC Dairy is a package of programs for computer formulating ABSTRACT dairy cows. We have added a grazing module to this program to calculate pasture intake intake pasture to calculate program to this module a Weadded cows. have grazing dairy of grazing dairy cows. The grazing module consists of three being components, input, and output. calculation In the input section, enter users used as a new feed in the feed list of the PC Dairy program to formulate a least cost cost least a formulate to program Dairy PC the of list feed the in The program then feed the calculates maximum pasture dry intake (kg DM/d), which new can be a as used ration. Keywords formulation.
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 , exceeds the lues of fecal
odel mption of biologically biologically of mption M Pensacola Bay
of ten years from 4 January 2000
-04
anitation anitation
percentile percentile values of fecal coliform
S 10) th reas reas at the compliance criterion of 26 5650 amples from hmadi - earl
S P 752 - 530 Fred S. Conte Abbas A ( Seminar 2) / sing [email protected] [email protected] U
oliform Departmentof Animal Science Departmentof Animal Science University of CaliforniaUniversity Davis at University of CaliforniaUniversity Davis at C ( ems t 1 Shields Ave, Davis, CA 95616, USA 95616, CA Davis, Ave, Shields 1 s tube test, are below the NSSP limit of 43 MPN/100 mL. mL. We of 43limit tube below NSSP are the test, MPN/100 y - (USA) ecal ecal
F
Florida
Decision support system, Modelling, Shellfish sanitation, Water quality, quality, Water sanitation, Shellfish Modelling, system, support Decision
ords:
w Evaluation of
coliform samples, in a five a in samples, coliform NSSP, by used currently is which criterion, percentile 90th estimated the that hypothesize is not to sufficient protect the public from risks caused by consu contaminated shellfish. To reduce this risk, the NSSP limit should be MPN/100 lowered mL, to 26 because when the estimated 90 ABSTRACT The The United States, National Shellfish growing shellfish areas Sanitation to be open Program for harvest when the 90th va percentile (NSSP) guidelines allow samples are above the 26 MPN/100 mL, the upper limit of these values MPN/100mL. Key current NSSPcriterion To test our hypothesis, we used of and Florida Department Agriculture Services, from Consumer shellfish Aquaculture, 5,541 fecal coliform collected over period a by Florida, Bay, Pensacola of the areas growing Division of agency, regulatory state Florida the that suggests this study of The to result 2 2010. July although not lowering the NSSP limit officially, in practice does manage their closure rules for Pensacola Bay shellfish growing a Rainfallclosure rules. rt S n Suppo Decisio inar 10- Sem 94 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 095 -05
10)
cocoa
uzzy minimum 1.050.600
F
– s ation (FIT). ( Seminar 2) / ton sing U was was about 874.407
( ems t by s Transport the availability of the availability
y
430.440 er
Model between
because The amount of supply and
onesian cocoa beans Technology
.
factory capacity (demand)factory and get a ransportation T synchronization
081318148580 with Industrial - ransportation [email protected] are about 48.169.663.450 IDR (feasible) because the because IDR (feasible) are 48.169.663.450 about Yandra Arkeman Yandra T
[email protected] Agro Industrial Engineering Dept. Dept. Engineering Industrial Iphov KumalaSriwana rt S n Suppo Decisio inar 10- Sem Esa Unggul University, Indonesia University, Unggul Esa design a Bogor Agriculture Institute Indonesia Institute Agriculture Bogor Integer eans λ(1) =0 B
, , While the total capacity is as much as 108.818.015.576.000] Jl. Raya Tol Tomang No. 9 Kebon Jeruk Jakarta Barat 11510 Barat Jakarta Jeruk Kebon 9 No. Tomang Tol Raya Jl. plantation (supply) ocoa
This research completed by using Fuzzy Integ Fuzzy using by completed research This C
G = [0,
of cocoa cost. Cocoa beans, Fuzzy Integer Transportation Integer Fuzzy beans, Cocoa
: in the
Distribution Cost Distribution for esign . s D on The The Reasons to use Fuzzy Integer Transportation demand often fluctuate. The availability oftons 907.831 until tons ind distribution distribution t Keywords fuzzy Goal are are Goal fuzzy beans ABSTRACT The aim of this research is to
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
specific specific -
-01 , India , India , India
meteorological Advisory meteorological Service (AAS)
- 11)
ose the content development framework. The The framework. development ose content the elopment Research Centre
9700651031 Nagarani -
K.K.Singh K. ( Seminar 1) / L.S. Rathore G. Sashikala Bhaskar Reddy G. Sreenivas +91 D.Raji Reddy Hyderabad, India. Hyderabad, [email protected] e ( P. Krishna Reddy M.Mahadevaiah N. Chattopadhyay B. about 130 Agro Meteorological Field Units (AMFUs) spread (AMFUs) Units Field about 130 Agro Meteorological [email protected] [email protected]
ya NG Ranga Agricultural University Agricultural NGRanga ya Agro Climate ResearchCentre, Agro Climate ResearchCentre, Agro Climate ResearchCentre, Agro Climate ResearchCentre, dia Meteorological Department Meteorological dia management, farmmanagement, extension service In Department Meteorological India India Meteorological Department Meteorological India Acharya NG Ranga Agricultural University Agricultural NGRanga Acharya University Agricultural NGRanga Acharya University Agricultural NGRanga Acharya Achar gricultur or a IT for Agriculture and Rural Development Research Centre Research Development Rural and Agriculture for IT Centre Research Development Rural and Agriculture for IT IT for Agriculture and Rural Dev Rural and Agriculture for IT s f tion a
agrometbulletin, risk
A A Framework to Develop Contentfor Improving Agromet Advisories or forall operations the agricultural the crops weather sensitive grown the of in AMFU.area/region ABSTRACT India Meteorological Department (IMD) is providing Agro
all all over India. Based on the weather prediction, the AAS contain risk amitigation steps weekthe possible AMFUs twice around bulletins AAS the in The year. bulletins are prepared and delivered by f In this after paper, to of The bulletins. the agromet improve efforts quality IMD research is making explaining thelocation componentsrelated of content agromet of bulletin, wedevelopment propthe allows framework development content proposed to Indian farming community through through community farming to Indian bulletins. agromet of quality the improve to operations crop sensitive weather Key words: Applic inar 11- Sem 96 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 097
-02
11)
ystem in S ( Seminar 1) / e (
gricultur or a
anagement Management
aboratory
L
s f tion
g a oo.com.tw 1801#21 - stem (LIMS), Tea, Pesticide analysis, Traceable analysis, Tea, Pesticide (LIMS), stem
ttes.gov.tw nalysis 2665 - Research and Extension Station Extension and Research
A 2 - nformation Li Li Chen Lin I Yu Ju Huan Ming Ming Lun Xie Iou Iou ZenChen [email protected] [email protected] Ya Chuang Hui 886 [email protected] Chia ChangWu tres201@
[email protected] Hsiao Ying Yang + [email protected] skcktree@yah
omputerize the pesticide analysis data. Meanwhile, we have we have Meanwhile, data. analysis pesticide the omputerize
Applic inar 11- Sem Tea Research and Extension Station Extension and Research Tea Council of Agriculture,Council Executive Yuan Council of Agriculture,Council Executive Yuan Council of Agriculture,Council Executive Yuan Council of Agriculture,Council Executive Yuan Council of Agriculture,Council Executive Yuan Council of Agriculture,Council Executive Yuan Council of Agriculture,Council Executive Yuan esticide P aboratory ea ungting Station of Tea Research and Extension Station Extension and Research Tea of Station ungting L Wunshan Branch, Tea Branch, Wunshan Tungting Station of Tea Research and Extension Station Extension and Research Tea of Station Tungting Tungting Station of Tea Research and Extension Station Extension and Research Tea of Station Tungting T T Nantou Pesticides Inspection Station of Tea Research and Extension Station Station Extension and Research Tea of Station Inspection Pesticides Nantou Nantou Pesticides Inspection Station of Tea Research and Extension Station Extension and Research Tea of Station Inspection Pesticides Nantou
gement subsystem, the inspection standard management subsystem, the instrument Laboratory information management sy management information Laboratory
Application of of Application ords: w completed 8 management subsystems, including the basic sample information processing management management subsystem, the subsystem, the analysis report data mana management subsystem, the analysis connectionmanagement subsystem, the laboratory personnel training management subsystem and the laboratory quality document management information subsystem. management Using system could the help automatic laboratory paperwork operations tea and to pesticide reduce human analysis the amount resource, reliable.. of which excess could ensure the analysis data quality Key is traceable and ABSTRACT The aim of this paper is to establish laboratory information management system (LIMS) for the tea pesticides analysis accredited laboratories in Taiwan. The LIMS could Nantou help Tungting pesticide station and inspection station to c
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 end
-
atural ardization N building building process -
data data stand
- estand P
end end data provider management - ystem data data category and transformation - my database and query system for S Council of Agriculture, Executive Yuan Executive Agriculture, of Council
,
-03 gricultural
, Council of, Council Agriculture, Executive Yuan A
on
11) eed invasions, geographical distributions, uery
Q Divisi Shiao
Hsing University Hsing
- JangChang - Jen Fang Pei Chen Ming Hsu YuChen - Feng Feng Chin Deng Chin 27350872#205 ------2 - ( Seminar 1) / Chi Shu Ling Shan [email protected] 886 Ting e ( + Shiuh Plant Pathology Division Pathology Plant Plant Protection Applied Zoology Division Zoology Applied TechnicalService Division National Taiwan University Taiwan National DepartmentofEntomology Ray Ruey atabase and and atabase Department ofDepartment Plant Pathology Division of Public Threat Control Threat Public of Division NationalChung ulture. ulture. In recent years, disease, pest and weed experts have D ral Research Councilofral Institute, Agriculture, Executive Yuan utlook of the Taiwan and Toxic Substances Research Institute Research Substances Toxic and
O gricultur or a nemy end end user search platform and the back E end usage, and built search tools of various functions according to data the according functions of various tools and end search usage, built - s f tion a TaiwanAgricultu Taiwan Agricultural ResearchTaiwanAgricultural Council of Institute, Agriculture, Executive Yuan Taiwan Agricultural ResearchTaiwanAgricultural Council of Institute, Agriculture, Executive Yuan Council of Agric
the the - front ,
tatus and
for Agricultural pest, natural enemy, databasing, query system, Taiwan system, query databasing, enemy, natural pest, Agricultural S
Bureau of Animal and Plant Health Inspection and Quarantine and Inspection Health Plant and Animal of Bureau ally
TaiwanAgricultural Chemicals Current progressively compiled the database’s contents, developed a shared system framework for back for framework system shared a developed contents, database’s the compiled progressively interface. interface. The future development trends and at are possible made the discussed meta for end of the where recommendations study, future challenges for the database are and distributed public domain database development prospects. development database domain public distributed and Keywords: Taiwan Taiwan are discussed in the current study. Taiwan has begun Inspection and by Health of the Plant Bureau Animal supported developing its projects pests of through database own characteristic and Quarantine The development The status of development an pest agricultural and natural ene ABSTRACT management and front characteristics characteristics and usage requirements. The challenges faced during the system and their solutions the form focus theof current study. In terms of data categorization,key elements such as classifications, crop types, diseases, pest and w and literature informational are introduced; solutions for cross linkages were also raised. In addition, the current study also raised mitigations and improvements and study improvements were also In the also linkages raised. raised addition, mitigations current specific Applic inar 11- Sem 98 0 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 099 -04 11) ort ody which for
he collection, T ( Seminar 1) /
. e (
anagement
M breeders
gricultur or a in Taiwan (COA Annual Rep Annual (COA Taiwan in
y y y y
reeders
y
B
s f tion
xecutive Yuan a the poultry roduction roduction P , the Yuan Executive , the E highly related to the successful management
billion NTD @ntu.edu.tw
oultry 33665333
Science and Technology and Science Yu Chen -
- Chi Liu Chou Liu P 2 strial Mechatronics Engineering Mechatronics strial strial Mechatronics Engineering Mechatronics strial strial Mechatronics Engineering Mechatronics strial Engineering Mechatronics strial - - - JenChou Nian Jiang YangChou Fang Huang are - - - - An 886 Indu Indu Indu Indu - - - - Jui + [email protected] Hsiu Chien [email protected] [email protected] Yan over 60 Chu [email protected] of Animal Bio Bio Bio Bio Jeng d00631001 [email protected] [email protected] National Taiwan Universit Taiwan National National Taiwan Universit Taiwan National National Taiwan Universit Taiwan National Universit Taiwan National aised ystem in National Taiwan Universit Taiwan National
of of of of
S R - Applic inar 11- Sem Lan Branch, Livestock Research Institute Research Livestock Branch, Lan Lan Branch, Livestock Research Institute Research Livestock Branch, Lan - - Council of Agriculture Council of Agriculture Yi Yi loor Department F The The RFID (radio is identification) frequency a technology Department Department Department Department has an amount amount an has
farm.
roduction roduction management is the key factor for the whole industry. The
er industry
are are very important to management of
, poultry Application of RFID integrates integrates the tag, reader and middleware. Some special features of RFID are: of of the breed The ABSTRACT 2011), 2011), and p mated of collection mating, screening, test, performance breeding, including information eggs, rate, fertilization incubation rate, feeding amount before laying period and b weight data useful these of analysis and storage
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
legs FID poultry
rch Institute, raised - -collecting ted and the data ng cages. Through ng cages. Through rings were put on - nt successfully. nt The objective of this study is of this study The objective -04 he RFID for floor t Layingcage, Egg 11) Branch, Livestock Resea
Lan - Yi integrated integrated with ( Seminar 1) /
and create more profit of poultry industry and by create of more profit poultry R industry e ( management gricultur or a collecting collecting system - s f tion a
Radio frequency identification (RFID),
ords: contact automatic sensing, object state recording and the storage of data. data. of storage the and recording state Therefore, object sensing, automatic contact
w -
of each duck. When ducks entering the will laying becage, tags transmittedwill be to detec PC by the wireless has and been and developed be could a started and automatically, PLC stopped counter sensing network. An Eggwas to installed count of the layi number eggs different for produced collection system the interpretation of the data egg and collected, RFID theintegrated the layingconclude may obtained. we efficiency be shown, results for the on each Based testing duck could collectionsystem is able toimprove the productionmanageme Key system, Tag technology is an existing problem worthy to be resolved. to be resolved. worthy problem is an existing technology to develop an egg housing. The experiment has been performedCouncil of Agriculture, at Executive Yuan. RFID system laying cage. was installed integrated with The antenna was placed on laying board and the tag
to improve production to production improve non
Applic inar 11- Sem 00 1 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 101
can arm data
f body in serial
sealed sealed arn by by arn arn , which b
b ow ows the
management - omputer. omputer. The at e c for arm echnology cy (UHF) tag f T owner at the updated updated particular c -01 nar (12) s / Semi tion a
the
and is a fixed reader installed in in installed reader fixed a is
without any observation and
from from previous milking event, Farm by using the computer system by system using the computer
high high frequen - , there yield
. . After it is downloaded to the
anagement
held held reader
-
g M held reader. By managing the herds using a - 911412 is directly collected -
as as reports milking parlor
dentification (RFID) I HuaLee li li Chang number, milk 37 - - - In
HanWan - ch individual cattle. ch cattle. individual ’s 886 lectronic + is a passive and ultra Kuo Chu performance performance information processed at the DHI to scan the unique number marked on electronic ear tags tags ear electronic on marked number unique the scan to
Ssu E [email protected] [email protected] [email protected] ow Applic & RFID Sensor inar 12- Sem
data data of cows erd cows’ requency requency Council of Agriculture,Council Executive Yuan of Agriculture,Council Executive Yuan Council of Agriculture,Council Executive Yuan H function F he outer appearance of he the outer appearance tag is with printed a c unique different locations and angles on each side of the walkway entrance entrance walkway the of side each on angles and locations different . The
milking milking parlor one by one. A computer screen installed inside the T d
Taiwan livestock Research Institute Hsinchu Branch Hsinchu Institute Research livestock Taiwan Branch Hsinchu Institute Research livestock Taiwan Taiwan livestock Research Institute Hsinchu Branch Hsinchu Institute Research livestock Taiwan . airy PDA that need to be updated is done directly with adio D R timely, automated, and paperless reporting method can fully improve DHI DHI improve can fully method reporting and paperless automated, timely,
with
data data ed ed to the inner side of the cattle’s right ear, providing herd managers the improve are collected and updated. updated. and collected are
ly tagg click method before they are wirelessly transmitted to the
unique cattle serial number is used initiate query for information on the performance performance on the information for query initiate used is number serial cattle unique which which
Radio Frequency Identification (RFID) Technology, reader, electronic ear tag ear electronic reader, Technology, (RFID) Identification Frequency Radio
queried queried cattle are then d printe out urgent . All date various color warnings to alert the staff to pay attention to held reader reader held - the entrance of the with be o Frequency Identification (RFID) Technology used in dairy farm with positioned. The fixed reader is positioned to read the electronic ear tags on cows as they walk walk they as cows on tags ear electronic the read to positioned is reader fixed The positioned. place. Two antennas Two antennas place. Application of Application omputer via the network, the should and date date through pointing and clicking during file savings. All other data performance can also be entered reports of c are through milking parlor displays each captured cow scanning and reading the cattle number using using the the cattle number hand and scanning reading writing writing by processing centre wirelessly transmitted to hand the transmitted wirelessly centre processing convenient, accurate, efficiencies. operation farm dairy and Keywords: and read the basic information stored in the tag. The reading distance is up to 80cm. Afterwards, Afterwards, up to 80cm. is distance reading The tag. in the stored information basic the and read the and obtained weight, type, body vaccination, treatment, disease calving, period, milk dry breeding, of temperature the use hand number and is ability to inspect the visually of identity ea with polyurethane material with polyurethane includes electronicRFID eartags, readers, data wireless transmission,and theThe Internet. RFID ear tag used on electronic c dairy the ABSTRACT Radi
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
hicken C are delivered to the ative N ard operating procedures as
-02 raceability of of raceability
T nningSection Wang Lin
frequency frequency identification (RFID) and barcode Hung Liu
-
i
ungLiu
L wu - uan L ing sien Hsieh - F 5911211#357 Y - hin Cheng hin - H M - iculture, Executive Yuan 6 S - - rch Institute, Council of Agriculture, Executive Yuan has Yuan has Executive Agriculture, of Council rch Institute, Ting Yih 886 Yu Hsiao Che [email protected] roduction roduction + [email protected] CorrespondingAuthor Liang- Chao- P Department of Food Science Food of Department Tunghai UniversityDepartment nar (12) s / Semi tion a Animal InformationPla Council of Agriculture,Council Executive Yuan Council of AgrCouncil Council of Agriculture,Council Executive Yuan of Agriculture,Council Executive Yuan Council of Agriculture,Council Executive Yuan Council of Agriculture,Council Executive Yuan ion traceability ion information traceability onto the poultry farm commercial poultry Deputy Director’s Office,Deputy LivestockResearch Institute Animal Animal Division,Industry Livestock Research Institute Research Institute Animal Division,Industry Livestock Research Animal Division,Industry Livestock Research Institute Animal Animal Division,Industry Livestock Research Institute frequency identification (RFID), poultry foot ring, production traceability, native chicken native traceability, production foot ring, poultry (RFID), identification frequency portant identifying mark so that consumers may recognize the brand of native chicken -
radio
rds: o nal nal Digital Assistants (PDAs) records the data of the native chicken production traceability
w Application of RFID in the identification technology to introduce feeding management of thePerso native chicken production site. The completely. The farm stand chicken “poultry may set individual farmers so chicken that developed farm commercial poultry production flow operating system” was also required. Digitizing applications The enhances efficiency. control of operations, it operational the effectively strengthens farm’s internal to assist in PDA is everyday used to save feeding product and production flow managementoperating system, and tasks complete various not age, production the chicken are broiler theof Once appropriate in they chickens system. native traceability onlyrecords necessary for abattoir by the shipper. Even after depilation, the foot of the native chicken still retains identification in farms. chicken other from chickens native with confused not is it that so ring foot poultry the of form the This forms an im they love. This they This achieves love. the of benefit dual profit ensuring for reasonable and producers providing also consumption. poultry their in mind of peace with consumers Key In order to promote the overall competitiveness of the chicken industry and consumers safety cognition cognition safety consumers and industry chicken the of competitiveness overall the promote order to In Resea Livestock the products, meat poultry of ABSTRACT utilized the “poultry foot ring” combined radio Applic & RFID Sensor inar 12- Sem 02 1 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 103 mist airy D nhance mail mail messages to herd -03 nar (12) s / Semi tion E - a
ent
nd placed around the front hooves of
fficiency
E 227 siao # etwork (WSN) to to (WSN) etwork N
911693 HuaLee - Li Li Chang - HanWang - ChunH - - ChiehChiang 37 Shiuan Chao hour hour per day automatic recordings of cow footstep - - - - Kuo Chu 886 Ssu ensor + [email protected] Fang [email protected] Jiun [email protected] [email protected] [email protected] [email protected] S Chun Applic & RFID Sensor inar 12- Sem Management stem stem quickly sends out text, fax, and e Council of Agriculture,Council Executive Yuan Council of Agriculture,Council Executive Yuan of Agriculture,Council Executive Yuan Council of Agriculture,Council Executive Yuan of Agriculture,Council Executive Yuan Council of Agriculture,Council Executive Yuan an livestock Research Institute Hsinchu Branch Hsinchu Institute Research livestock an arm
F ireless Taiwan livestock Research Institute Hsinchu Branch Hsinchu Institute Research livestock Taiwan Taiwan livestock Research Institute Hsinchu Branch Hsinchu Institute Research livestock Taiwan Branch Hsinchu Institute Research livestock Taiwan Taiwan livestock Research Institute Hsinchu Branch Hsinchu Institute Research livestock Taiwan Taiwan livestock Research Institute Hsinchu Branch Hsinchu Institute Research livestock Taiwan Taiw W efficiency. The system includes: (1) Barn environment sensors providing providing sensors Barn environment (1) The includes: system efficiency.
wireless sensor network, dairy cows, operation managem operation cows, dairy network, sensor wireless
pregnant pregnant cows. The rings conduct 24 time monitoring of temperature and relative humidity. Whenever the upper limit value theof an limit upper Whenever humidity. and relative temperature of time monitoring - - Application of a of Application vibrations and body positions for signs of change to pinpoint the exact time when estrus occurs. occurs. estrus time when exact the to pinpoint change of signs for positions and body vibrations When estrus is signalled, the sy spray is triggered to start cooling the environment. The system not only can accurately control the the control accurately can only not system The environment. the cooling start to triggered is spray environment but can also save water and electricity. (2) An sensor seals estrus were into converted the detection form of system: hoof rings wireless a non real parameter environmental is exceeded, the barn cooling system of fans, water spray, and The aim of this study is to establish Taiwan's own wireless sensor network system for dairy farms farms dairy for system network sensor wireless own Taiwan's establish to is study this of aim The operational to enhance ABSTRACT managers so that they can provide the cow in estrus with optimal time for mating, thereby raising raising thereby mating, for time optimal with estrus in cow the provide can they that so managers rate. reproduction pasture the Keywords:
SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012
ea at S
onitor M warning demands. demands. warning - sea. Each system is Inner
sea, water quality, cage
inner
based measuring method, but but method, measuring based inner etwork to -
N
parameter parameter water quality sensors,
-
one in the
Z -04
Penghu anchored procedures procedures anchored were used to set - -
ensor S
Lin Lin Lu 9953416#137 Sheng Tsai Sheng Yuan Lin - - - - 6 - Yi Chi quaculture 886 information information will be automatically sent back and ireless [email protected] + - [email protected] Wann A w
W nitoring of water quality around Penghu water of and water around quality Penghu nitoring water the [email protected] Taiwan Penghu, Fisheries Research Institute Research Fisheries Fisheries Research Institute Research Fisheries Fisheries Research Institute Research Fisheries ring of water quality in situ for early s s integrated with multi nar (12) s / Semi tion time time Planningand Information Division - a age olar PenghuMarine Biology ResearchCenter PenghuMarine Biology ResearchCenter S term mo - time monito - uality in C in uality
Q aquaculture zone, the or buoy zone, bottom aquaculture solar wireless sensor network, Taiwan network, sensor wireless solar
-
ater Application of of Application
words: W
ABSTRACT In order to long provide nearby cage powered by solar energy and i including depth, temperature, salinity, conductivity, dissolved oxygen, turbidity, and chlorophyll a. It is also embedded with modules. GSM/GPRS wireless transmission and Water GPS not is designed The system query. web qualityfor 30 minutes every database online to uploaded real boat traditional with associated time and labor to save only also to real achieve as synchronic well as report, in this described was event chill of study case a addition, In and comparison further for collected also was sites monitoring each of data quality water discussion. Key aquaculture up three water quality sonde at separate locations in Penghu
Applic & RFID Sensor inar 12- Sem 04 1 SEP. 04 TUESDAY, 2012 SEP. 04 TUESDAY, 2012 105 time time - held RFID ntity, ntity, order -
time access of - based real - y hand
-05 nar (12) s / Semi tion a ion, logistics anagement theon M ushroom
M
tion, the lack of real of lack the tion, he pilot radio frequency temperature temperature frequency radio pilot he T
.
resh igitized
F enter D subsequently executed through the operation operation the through executed subsequently ingDivision
duce duce the production cost. The simultaneous as
23317201 - Kai Yang 4 - - Rong TsayRong - 886 + [email protected] [email protected] Chih Jyh
mploying mploying ogistics of Secretary General OfficeSecretary E Applic & RFID Sensor inar 12- Sem L tics tics of TheRFID technology. a includes hardware deployed Agricultural Engineer Agricultural Taiwan Agricultural Research Institute Research Agricultural Taiwan Taiwan Agricultural Research Institute Research Agricultural Taiwan time. After initial operation and assessment, the current system was was system current the assessment, and operation initial After time. - time monitoring facility of distribution logistics and management - first century. The conventional distribution process of fresh mushrooms is is mushrooms fresh of process distribution conventional The century. first - istribution valuation of D E FID tag temperature recording w recording temperature tag FID
Radio frequency identification, fresh mushrooms, distribut mushrooms, fresh identification, frequency Radio
time recording and displayed at the distribution c distribution the at displayed and recording time time monitoring facility of distribution logistics and a pilot radio frequency (RF) temperature temperature (RF) frequency radio pilot a and logistics distribution of facility monitoring time Feasibility Feasibility - - stem for fresh mushroom distribution center and a weighted distribution simulation system. interface on a system platform. The weighted rationing module performed order performed module rationing The weighted on a platform. system interface monitoring and identification system retrieval The is environments. applicable transportation and thein storage of the temperature the record freshand monitor mushroom distribution process to R of analysis and Keywords: rationing simulations to determine the rations of quantity, each client and according client to stock credit. qua The real in estimated display was demand of the reasonable rationing volume able of to the mitigate the supply distribution bottleneck and and re implementation of digital management technologies and production résumé relevant tracking electronic informationconsumer creates for inquiry. reader reader and the printing out of receipts. The tag information was transferred in batches logistics to the monitoring server through the GPRS real transmission function of the tag reader for ABSTRACT Mushrooms are products agricultural used as food ingredients and health food. With its high economic value and high growth potential, the mushroom industry of the has twenty industry become a ising prom market information often leads to feasibility inefficient of rationing. implementing The radio research frequency aimed identification of taking advantage the to characteris (RFID) management assess technologies the by real monitoring and identification system. The software established sy includes a logistics management The functions of the real system allowed the recording of tag information during goods collection b completely dependent on manual enumeration and feedback. With large amounts of of products to amounts With and large feedback. on manual enumeration dependent completely be processed in a short time during the rush hour of distribu
SEP. 04 TUESDAY, 2012 SEP. 05 WEDSDAY, 2012 d ties, and trend trend and
eospatial G
sing
ramework U F
atersheds onceptual W C 6050, Western Australia Western 6050, 6482
-
9370
8 61 + Leisa J LeisaArmstrong Edith Cowan University Cowan Edith University Cowan Edith [email protected] [email protected]
gricultural
A Sreedhar Acharya Nallan spatial, Data Mining, Impact Assessment - echniques: A echniques: School of Computer and Security Science Security and Computer of School Science Security and Computer of School T economic economic progress. Agricultural researchers and watershed - Bradford Street, Mount Lawley Mount Street, Bradford Mining
gricultural watersheds over the last four decades as a priority program for e e will enhance the understanding of unknown patterns in these datasets. ssessment of of ssessment ata (13)-01 eminar ning / S a Mi : Watersheds,: Geo t A D
requires requires the application of geospatial data mining analysis is watersheds. This e in the soil types, the water harvesting in different soils behaves in different ways
elopment elopment officials are extremely interested to assess the impact and identify the
dev patterns in the current development and looking for the areas for further development with a proper understanding of local needs and requirements. environmental Due chang to in in recharge resulting improper some areas in and high other some evaporation areas. Geospatial data mining techniquessuch as association, clustering,classification ABSTRACT field in the datasets world real to techniques mining data geospatial novel of Application of agricultur classification, quality vegetable management, drought in used been have techniques These and pest other several in areas. allied and areas management agriculture One such area which paper attempts to analyze different data understand mining its techniques spread with and watersheds data impact of to developing a its development. Government of of the livelihoods lands to sustain in agricultural the India rainfed availability water increasing started the people with a socio analysis applied on watersheds data watersheds will and give helps proper understanding in abnormali downstream by affected and upstream, its are location mainly watersheds of visualization of the spread key of factors it is in very appropriate to use such the techniques to understand the spatial and distribution process. actual impact. Since The open source and geospatial data mining the such software as WEKA, PostGIS, jGRASS will be used to apply the will framework be data developed and mining tested with the available data algorithms. in the light of available An requirements. integrate specific location and literature Keywords Impact Impact
Da inar 13- Sem 06 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 107 nd geospatial
atchmentand
(13)-02 eminar ning / S a Mi C t
ater
W u
hnology
Da inar 13- Sem n and communication technologies, technologies, communication and n 6050, Western Australia Western 6050, - mprove I
anagement in Australia M [email protected] den Sehovic +6189370 6506 NeilDunstan WesternAustralia [email protected] Ai
Dean Diepeveen Dean Leisa Armstrong Edith Cowan University Cowan Edith Edith Cowan University Cowan Edith larms es has been reported by various research groups in ools to and [email protected] University of New England New of University T securing securing of food and water for an increasing world and using leading edge technology solutions to manage manage to solutions technology edge leading using and [email protected] L choolof Science and Tec
S
Department of Agriculture and Food. and Agriculture of Department al School of Computer and Security Science Security and Computer of School School of Computer and Security Science Security and Computer of School
Bradford Street, Mount Lawley Mount Street, Bradford oftware S spatial, data mining, informatio gricultur source geospatial tools source to geospatial trends interpret in water and catchment la - - A
Geo
Mining
ords: w Data management. This management. can be achieved through of the data development innovative mining on methods mining data of effectiveness the validate and measure that tools interrogation the available datasets. The interrogation tool will incorporate different modern data mining techniques to discover meaningful and useful patterns specific to current agricultural practices and future scenarios for salination. soil through climate change and land degradation Key population and the sustainability climate change may further hinder of sustainability these resources. of A novel approach Australia’s multidisciplinary is both which agricultural sector. Factors of using help. The and these techniques could water potential resources land Australia’s such as to provide a means for farmers and decision in government and relation to policy makers these to issu Australia make and internationally. better conjunction in techniques mining data spatial existing to utilise how examines paper The of modern open software ABSTRACT Leading edge information and communication technology (ICT) solutions can (ICT) solutions the assist technology and communication edge information Leading management of water resources and is important land in the resources in Australia. The management of these
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
palm palm oil fruit
nalysis amount of crude of crude amount A
sed on visual observation by etermineeigen value and eigen 5 and accepted fruits which are omponent omponent
ken and preprocessed by resizing
C
Faculty of Engineering of Faculty Engineering of Faculty
, , assification using Component Analysis assification sing U
5674223 ext. 215 ext. 5674223 pproach -
Lily Amelia A 21 - ridwan_64@yahoo,com 62 University of Esa Unggul
[email protected] Indonesia Islamic University Islamic Indonesia lassification lassification Muhammad Ridwan Andi Purnomo ruit C Department of Industrial Engineering Industrial of Department Engineering Industrial of Department palm oil, fruit classification, pattern recognition, component analysis component recognition, pattern classification, fruit oil, palm F il Jl.Terusan Arjuna no.9,Kebon Jeruk, Jakarta Barat 11510 Indonesia O
Crude (13)-03 eminar ning / S a Mi : t
Palm
ABSTRACT to the affects that factor is major a ripeness oil palm fruit of degree The palm oil losses during processing. processing. during classified be can losses oil fruit oil palm palm ripeness, Based on its into cl five fractions, namely fraction 00, 0, 1, 2, 3, ripeness 4 sorting system in and most of 5. palm oil mills in fruit Indonesia is ba Currently, oil operator. palm This may lead for to a less in accuracy palm oil that fruit determination ripeness of to oil model palm andcrude production. a impacts quantity low quality a aims This research develop to (CA) approach. CA in on model based and palm was observation developed interview oil mill PT. Perkebunan Nusantara of samples palm oil image in were eachta fruit fraction (PTPN) VII in South the Sumatra, to scale images images. and gray convert Indonesia. software using CA model was developed Some MATLAB v.7 through some stages as follow: to set up database images and evaluated images, determine covariance matrix of database images, d based images and database images and evaluated the compare of images, database vector on the minimum Euclidean Distance value. identify unaccepted The results fruits indicate which thataccurately. very are 4 CA and 3 2, approach1, fraction fraction can00, 0 and Keywords
Da inar 13- Sem 08 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 109
we
that
to evaluate
ed object was used. quality quality and variety polar coordinates and polar coordinates
(13)-04 eminar ning / S a Mi the t
, earth mover's distance in
of the
area
have have glosses, color shadings and
8657 Japan 8657 - MDS and HCA demonstrated that
kyo.ac.jp make make it difficult to obtain accurate to
- Da inar 13- Sem accuracy accuracy of cultivar identification was the ecosystem Services u.ac.jp tokyo.ac.jp projected - rc.go.jp 1611 Yoshioka - chromatic image acquisition system
the a the 463 - mail.ecc.u @ 042 Mie University Mie University of Tokyo Seishi Ninomiya Yosuke ekusoy@aff Cultivar Identification of Strawberry characteristics characteristics kameoka@mie- ysis, Cultivar identification, Quality evaluation Quality identification, Cultivar ysis, The The The University of Tokyo of University The gricultural products
[email protected] . . The aim of this is study to a develop new system for Kyosuke Yamamoto Kyosuke
d by using Graduate School ofBioresources UsingImage Analysis 8244012644 1 Yayoi, Bunkyo, Tokyo, 113 Tokyo, Bunkyo, Yayoi, 1 nant analysis, - a a distance between different shapes ince ince a 1 - 1 analysis National Institute of Vegetable and Tea Science - Agro Sustainable for Institute Graduate School of Agricultural and Life Sciences Life and Agricultural of School Graduate National Agriculture and Food Research Organization Research Food and Agriculture National ation of agricultural products. In addition, we attempt In addition, products. of agricultural ation However, s Takashi Togami, Atsushi Hashimoto, Takaharu Kameoka* Takaharu Hashimoto, Togami, Atsushi Takashi liner liner discrimi
. To calculate Strawberry, Imageanal
the : Quality Evaluation and he appearances he of appearances products of provide indications agricultural Keywords ABSTRACT T characteristics. and information external the appearance the evalu appearance asperities asperities on their surface, these external external quality quantitatively information. and As a to color identify analysis Distribution Entropy method, varieties (CDE) . we Strawberry shapes were analyzed based applied Color on tangent Histogram lines and their Color external obtaine images were Strawberry constructed. constructed. The appearance of the strawberries was and then quantitatively, analyzed we analyses of thestatistical performed by data. According to the using the methods results of nearly nearly 70 percent. In addition, the results of (EMD) was applied. As a size index, index, size a As applied. was (EMD) introduced methods could be effective for the evaluation of strawberry appearance. strawberry of evaluation the for effective be could methods introduced
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 of are
company
explanation
after after
ha rice farming
eld is the training and education education and training the is eld
how of farming skill using the integrated integrated the using skill farming of how 8581,Japan
u.ac.jp -
- - u.ac.jp to record and replay all the information of of information the all replay and record to -01 - ujii atanabe 2970 akeuchi 14) - anseki
642 - taka F taka in order in order 92 Development in Agriculture -
been been developed, is outlined [email protected] [email protected] - 1, Fukuoka812 s - +81 KyushuUniversity KyushuUniversity Yoshi 10 Faculty of Agriculture of Faculty Teruaki N Faculty of Agriculture of Faculty - [email protected] katsu minar ( / Se - Shigeyoshi T [email protected] KatsuyoshiW as as well as advanced family farm. In this paper, first, the fujii shigeyosh
s based on various needs of farms. FVS (Farming Visualization of information of with information high Both accuracy. types of the systems
Hakozaki6 s (2) vice FUJITSUKYUSHU SYSTEMS LIMITED (FJQS) . The. objectiveof this national project is to visualize three types of the of the systems in real farms including 150 r al Se
Shiga Prefectural Agricultural Technology Promotion Center Promotion Technology Agricultural Prefectural Shiga oring, farming skill, GPS, FarmXLMRFID, run
trial for Human Resource a agricultural company
field monit field
project is expected to give useful tools for human resource development in agriculture. in agriculture. development resource human for tools useful to give expected is project
Design and Application of Farming Visualization System FVS ords:
w D readers and CCD cameras. These systems can be applied for various application fields of fields D can be These and various application for systems readers applied CCD cameras.
farming information mentioned above and extract know extract and above mentioned information farming background of the research the of background data. The data. of the and Finally, of the structure version function latest design, are Second, descried. systems the results of research this in topics research future with discussed are application the of implications and given PC the hand, On other the cost. initial low a to use with is simple system phone The smart field. system can monitor many kinds have advantages and Suitable tasks disadvantages. for each type proposed. of system are also is clarified. A systems data related among FarmXML, called framework, exchange Key ABSTRACT In modern it farming, is to indispensable monitor the field crop environment, conditions, and farming operations. To support these activities at farm level, we have developed several types farmof operation monitoring system designed and such issystems one of System) farming operations based on combinations of data from several kinds of sensorsRFI including GPS, agriculture. One of the major fields is to record fi major precious Another and traceability. and food detailed practice agricultural good farm operations history for of both farming operators and farm managers. These applications fields of FVS are especially important in NoshoNavi project, in which FVS has ultur e-Agric inar 14- Sem 10 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 111 -02
14) minar ( / Se
ervice of S s (2) vice ublic of Korea
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tionOfficer Division ustomer 707,Rep (RDA) (RDA) (RDA) (RDA) (RDA) - C
book freely via on the web and if a a if and web the on via freely book
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ooks do, do, 0 research outputs every year. But it is - B 2389 -
299 - 31 ystem for - Knowledge & Information Officer Division Officer Information & Knowledge Knowledge & Information Officer Division Officer Information & Knowledge Knowledge & Information Officer Division Officer Information & Knowledge Informa & Knowledge Division Officer Information & Knowledge S , , , , , +82 Kil Kil Seob,Lee [email protected] [email protected] [email protected] Man Hee, Han Hee, Man [email protected] Yoo Jeong, Lee Jeong Hye, Park Jeong Hye, JeungSang, Ryu [email protected] ultur e-Agric inar 14- Sem ent and microbiology. From publisher’s pointof view, gricultural gu, Suwon,Kyunggi - A (POD) he he can the order to books to be him. and delivered printed books to customers. The customer can search or browse the the browse or search can customer The customers. to books nce Library nce
Administration Development Rural Administration Development Rural Administration Development Rural Administration Development Rural Administration Development Rural solve those problems of demand and supply, RDA has developed the the developed has RDA supply, and demand of problems those solve emand ro 126, Kwonsun 126, ro D - Agricultural Science Library Science Agricultural Agricultural Science Library Science Agricultural Library Science Agricultural Agricultural Science Library Science Agricultural Agricultural Scie Agricultural n Suin o
POD, print on demand, publish on demand, agricultural books agricultural demand, on publish demand, on print POD,
Demand(POD) system, called ‘NongSeoNamBook’. Through this POD system, Through this POD system, called ‘NongSeoNamBook’. system, Demand(POD) - Print ords: on - w There is three tiers of RDA’s print on demand system. RDA is responsible for the the for responsible is RDA system. demand on print RDA’s of tiers everyone can read the research RDA’s outputs by e three is There and supply contents of operation POD system. an After receiving order from customer, delivers and makes seller the cheaply. and easily wants he that book the buy and conveniently outputs research RDA’s Key difficult difficult to demands estimate customer’s on those research outputs agricultural exactly horticulture, crops, as agriculture, such specific diverse and very are contents the because environm biotechnology, livestock, it is difficult to balance the stocks neither of ‘out stock’ to of get because wanted they the it that books moreis inconvenient sometimes or less. From customer’s point of view, To print’. of ‘out or Print customer needs some books, ABSTRACT and research agricultural for institute national Administration(RDA), Development Rural in extension of Republic Korea, publish over 40
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
mites mites often immigrate information, and it can
specimens. By further
ystem
S
uery
ion. ion. In addition to the quarantine -03 Q 14) est
23317624 P Jen Wu Jen - - Pei Chen 4 - - 886 Wen Shu + minar ( / Se National Taiwan University Taiwan National Divisionof Applied Zoology Research Center for Plant Medicine Plant for Center Research Agricultural Research Institute, COA Institute, Research Agricultural uarantine Q s (2) vice WufengDistrict, Taichung 413,ROC City Taiwan r al Se Plant
Quarantine pest, agriculturalproduct, system.query
BSTRACT incorporating the classification, collection and host data, we successfully established the established we and data, successfully host collection the classification, incorporating quarantine pest query system withof realized the management pest common integrated quarantine query and maintenance functions. Such a system identification, identification, the information system authorities. is agricultural of available administration and for research inquiries about the academic Keyword: provide fast query and consolidated statistical analysis services with regard to agricultural agricultural to regard with services analysis statistical consolidated and query fast provide hosts, biology, morphology, distribution, names, middle names, scientific groups, product importing countries, and geographical distribut through the media of seedlings, scions, seeds, fruits, tubers and bulbs. Based on the pests pests on the Based bulbs. and tubers fruits, seeds, scions, seedlings, of media the through in detected the in plants or we plant imported recent products years, built a system that uses microscopic imaging devices to digitize voucher As trade liberalization and internationalization progress, the risk of Taiwan being invaded invaded being Taiwan of risk the progress, internationalization and liberalization trade As increased. has products agricultural imported in hiding pests quarantine foreign major by The pests, such as thrips, scale insects, aphids, whiteflies, and A ultur e-Agric inar 14- Sem 12 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 113 -04 14) ope. ope.
igital D minar ( / Se s (2) vice pecimens
in in order to display the S
- ) during the implementation ) during the implementation r al Se
nsect I
23317624 - nstitute Pei Chen I 4 - - rchives hu A 886 S + [email protected] http://DigiIns.tari.gov.tw ultur e-Agric inar 14- Sem ogram. By setting up this website, By setting we up canthe website, ogram. improve this Divisionof Applied Zoology esearch Agricultural Research Institute, COA Institute, Research Agricultural ebsite”, ebsite”, “Digital Collection”, “Query”, “Compilation and R he TARI over years, we hope that the online international WufengDistrict, Taichung 413,ROC City Taiwan
gricultural
Insect specimens, Taiwan Agriculture Research Institute Insect museum, A n Agriculture Research Institute Insect Museum is dedicated to the collection to the is Museum collection dedicated Insect Institute Research n Agriculture
Whether Whether a specimen is crafted finely or not, is at risk of being after damaged a “Digital Archive W
– Taiwan information required by required users. information In of addition theto preservation the research sustainable by collected t highlights prestige. international our of improvement the to beneficial be can exchange research Keyword: specimendigitization. of the National Digital Archive Pr Archive Digital the of National image and data digitization of the insect specimens and tools collected from the TARI as TARI the from collected tools and specimens insect the of digitization data and image well as the literatures from the Japanese colonial period. The website parts consists of six Analysis”, “Insect Collection”, and “Learning Resources” long period of time. Particularly, the risk is even higher since Taiwan is in a seismic zone. zone. seismic a in is Taiwan since higher even is risk the Particularly, time. of period long devel to model management efficient an requires collection our enormous Moreover, As mentioned above, the TARI built the Taiwan Research Insect Institute Agricultural website Digital Specimen Archive ( of of agricultural insect specimens. Since the Japanese colonial period, the museum has collected more than 1.8 million insect specimens, which Taiwan. is the richest collection in ABSTRACT The Taiwa
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
an application application an ure map. -
Map
nline
griculture
use, the structure and distribution of the the of distribution and structure the use, A -
-01 one one of the two special urban, the capital in Yin Chou
- 15) [email protected] [email protected] Tien Tel:+84988615133 Feng Chia University Chia Feng Feng Chia University Chia Feng GIS Research Center Research GIS ThanhVan Hoang Geography Department [email protected] Thanh Xuan Nguyen Hanoi National University of Education of University National Hanoi PhD in Civil and Hydraulic Engineering Hydraulic and Civil in PhD Applying ArcGIS O ArcGIS Applying ( Seminar 2) / stablishing Hanoi E s ( tion a for No 136, Xuan Thuy street, Cau Giay district, Hanoi province, Vietnam province, Hanoi district, Giay Cau street, Thuy Xuan 136, No
d platform of ESRI to establish the agriculture Hanoi map. This map is a : cloudurban: GIS, agriculture, Hanoi agriculture, Hanoi agricult
in many in areas of many The and of life, development appearance including agriculture. agriculture production, agriculture the organization territorial of production agricultural (the
ABSTRACT Geographic Information system Geographic Information (GIS) develops more and more GIS strongly, is being applied cloud computing Online ArcGIS applying technology exploitation to the refers has paper This technology. opened the new direction development of GIS on the clou whole picture on the land agriculture Hanoithestructure of consist Vietnam, agriculture main urban This belt). farm map is on displayed web and data sharing allows online through internet. Keywords lic GIS App inar 15- Sem 14 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 115
-02 15) se GIS that use, use, and - - U - and L ( Seminar 2) /
being including: 1) being including: the - s ( tion .O.C a
griculture man well tudyin Northern Vietnam A
S ge due to its long coastlines area, the the area, coastlines long its to due ge
24516669 -
hange on on hange Use, SalusUse, model,WebGIS, Northern Vietnam. 4 - - C lic GIS App inar 15- Sem [email protected] [email protected] [email protected] ebGIS: Case
TienYin Chou Feng Chia University Chia Feng University Chia Feng Feng Chia University Chia Feng Viet Khanh Tran GIS Research Center Research GIS Center Research GIS W Chih Chih Yuan Chien Tell: +886 Thai Nguyen University Nguyen Thai ThanhVan Hoang - limate [email protected] cultural sector sector due to cultural to its and direct exposure dependence C tem Approach to Land Use Sustainability) program program Sustainability) Use Land is to which Approach tem Civil and Hydraulic Engineering Program Engineering Hydraulic and Civil SALUS No 100, Wenhwa Rd, Situn, Taichung, Taiwan 40724, R 40724, Taiwan Taichung, Situn, Rd, Wenhwa 100, No sing mpactof I U upling strategy embedding SALUS model (Karimi, H. A. etc., 1996) with
CT : : Climate change, Agriculture Land Simulation pact of climate change on rice production ; prediction climate changes on Vietnam farmland farmland on Vietnam changes climate ; prediction on production rice change of climate pact ustainability ABSTRA Climates are changing, it's happening all over the world, and we all are responsible for a for small and over all we all world, the are responsible happening it's changing, are Climates countries the of one is Vietnam planet. our on place taking is that event changing life this of part topredicted be among the most affected by climate chan high high concentration of population. economic on The impacts agriculture. serious of have type can impact the on climate in depending Change of climate change varies widely by development, especially region in the agri on weather andother natural conditions. First, this study aim to illustrate the simulateimpact of climate change on the agriculture and hu impact of climate change on agriculture land biological effect on crop yield; 2) the resulting impacts and 3) and consumption; the outcomes on and impact child per malnutrition. consumption calorie capita including prices, production, (Sys Salus overview brief Second, designed to model continuous management crop, strategies soil, for multiple water years. Third, and to integrate nutrient Salus conditions model under with Web different follows follows a tight co northern in location the identify we Finally, center. research GIS by developed Object, EasyMap Vietnam for experiment. The experiment can support some im of the map which illustrate the inthe future. Keyword S
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 Infrastructure pplications for ,
A
uan Y
xecutive E
-03 ltural, stablishment and Hung Tan HsiangChan - FongHo 4521314 ext.228 - 15) E - - Chien Tsai - 3 gricu Yi [email protected] Yi ssociations inTaiwan A [email protected] Resources division Resources [email protected] Information division Information Information division Information Chih Geographic Information System Information Geographic
ata
A , [email protected] (886)- Huang D 1,Chung Yuan Rd.Chungli,Taiwan Rd.Chungli,Taiwan Yuan 1,Chung - 196 Council of Agricultural engineering research center research engineering Agricultural Agricultural engineering research center research engineering Agricultural Agricultural engineering research center research engineering Agricultural Departmentofirrigation andengineering ( Seminar 2) / dition, the GIS database format and standard operation process in the study.
rrigation I g, technical counseling, the system application and so on, in order to s ( tion a nformation I
Irrigation Management :
Geographic Establishment
Keywords was was also established in this information system project in Irrigation to Associations. It included standardize the the theoretical analysis, andtrainin the education creation of the geographic The research was to assist the staff of Irrigation Associations to establish various various establish to Associations Irrigation of staff the assist to was ABSTRACT research The and training of means by database associated their and layers data information geographic courses. In education ad enhance the of to GIS recovery Applications typhoon Associations. efficiency in the Irrigation computerization of irrigation demonstrated also were management and to promote the overall lic GIS App inar 15- Sem 16 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 117 -04 15)
( Seminar 2) / e e mapped. This ected thatthe whole
r map, field survey, survey, field map, r s ( tion a
armlands ofTaiwan F uh Guo
ing ing Su tari.gov.tw 23317402 Y - - P - 4 lic GIS App inar 15- Sem - 886 Lun + hyguo@ [email protected] Horng atabase of Agricultural Chemistry Division Agricultural Chemistry Division D Taiwan Agricultural Research Institute Research Agricultural Taiwan Taiwan Agricultural Research Institute Research Agricultural Taiwan over C
Land Geographic Geographic Information System, farmlands land cove
wide farming area database could be completed and updated 3 times a year by -
satellite images analysis and interpretation, aerial photo interpretation photo aerial interpretation, and analysis images satellite island 2015. By the end of 2010, more than 50 species of crops major including staple food, upland crops, vegetables, and management of crops for fruitsagricultural the be could distribution inquired information and bamboo distribution applied layers to other wer related natural resources management internet. decision making through the Keywords: The The Land Cover Database of Farmlands of Taiwan was constructed based on sensing technology and remote some exp part is It of 2008. since ground truth. County The Tainan from project year started per mapping crops times 3 distribution ABSTRACT
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
35 ), a - o t A A high of 9 1434m) Mill
- analysis of
elation 861m orchards R nalysis of n i A wet lapse rate. rate. wet lapse
Malus sylvestris
analagi
orchard altitude ( altitude orchard M
-01 ) close to a 1 roductivity -
P 16) cv.
rawijaya Faculty of Agriculture of Faculty ), Temperature,), SpatialPCRaster Analysis, ( nar Mill) Mill) Faculty of Agriculture of Faculty Faculty of Agriculture of Faculty Widodo C. 100 100 m C.
patial 0 Mill S 679 or ng 65145, East Java, Indonesia Java, East 65145, ng YogiSugito (0341)564 443 0. emperature f [email protected] Semi sis / - [email protected] [email protected] T Sitawati 2009. 2009. on the focused was paper The present The University of B The University of Brawijaya The University of Brawijaya - Syukur Makmur Sitompul aly a An t uit crop, successfully cultivated at high altitudes in the region of of region the in altitudes high at cultivated successfully crop, uit Malus sylvestris Lab. Plant Physiology, Physiology, Plant Lab. Lab. Plant Physiology, Physiology, Plant Lab. Jl. Veteran,Jl. Mala Lab.Environmental Resource, Malus sylvestris r r fruit quality was generated with PCRaster software based on a ( Da ased er B ty ty or the fruit quality was then established over the whole area of apple pple pple A
Tropical Apple (
A series of studies was conducted in the production centre of Apple in the region of of region the in Apple of centre production the in conducted was studies of series A
ords: Applicationof PCRaster
w ropical T
Malang to investigate the relationship between the productivity of apple trees (cv. Manalagi) Manalagi) (cv. trees apple of productivity the between relationship the investigate to Malang in 2008 factors environmental and subtropical species characterized by a chilling requirement, in the tropics such as in Malang, in Malang, as such tropics the in requirement, chilling a by characterized species subtropical EastJava, Indonesia. Thisfr Malang, showed a decline in productivity and fruit quality economic reason, in many apple the orchards were replaced last by other decade. crops particularly at lower Due altitudes. to Temperature is Temperature the major of limiting factor the cultivation Apple ( ABSTRACT temperature temperature as a limiting factor 36of apple harvest of the first at were recorded quality the and fruit productivity productivity of apple trees. The data of apple variation was found in the relationship between temperature and productivity which showed, showed, which productivity and temperature between relationship the in found was variation in temperature. with an increase to decline a tendency on average, distribution The spatial map of productivity o variogram model. The productivity under mapspecified wasranges of usedproductivity. to regenerate Theapple the relationship productivi average between the of temperature altitude and the center. production Key years old selected randomly that covered the whole range of of range whole the covered that randomly selected old years
in the study area. Temperature and relative humidity during the day (0.06, 12.00 & 18.00n 18.00n & 12.00 (0.06, area. day the study in the during humidity relative and Temperature h) were observed at the same orchard locations. A was close found between relationship altitude and temperature with a rate of t Compu inar 16- Sem 18 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 119 -02 16) the the and e the
( nar and
leaves 73
0. TSMC 0.35µm Semi sis /
of the system. Using Using system. the of
can reach Osmanthus aly a An t By By using eter M
mplementation Da ased I out circuit for chlorophyll content content chlorophyll for out circuit consumption
-
er B
Beer Lambert Law hip , C 4633 - ontents C
265 - Min Min Lee 3 - and - Yaw Yaw Chung nics Department - Che +886
the the chlorophyll content of Wen [email protected] Electronics Department Electro optical sensing optical , [email protected] ystem ystem re u Chung Yuan Christian University Christian Yuan Chung Chung Yuan Christian University Christian Yuan Chung 0µA. S hlorophyll hlorophyll t Compu inar 16- Sem 5 C
itrogen or , n f to to meas 200,ChungPei Rd., Chung Li , Taiwan 32023 , R.O.C , 32023 Taiwan , Li Chung Rd., 200,ChungPei eadout canreach ethanol ethanol measurement method, the accuracy
R onent for vegetative growth, and crop production. The study aims to hlorophyll range
The C e : of Beer Lambert Law which relates the absorption of light to the properties of the the of properties the to light of absorption the relates which Law Lambert Beer of sens nology can effectively reduce the area the and area reduce power can effectively nology chlorophyll content and then compare it with the absorption characteristic under under 940nm and content then it compare characteristic with chlorophyll the absorption wavelength to determine the error, measurement this can be done improv can two these values by of difference The determining of the the photodiode. current in change accuracy. Light unit can the be read used to complete microcontroller emitting diode, photodiode, transimpedance amplifier, and ABSTRACT usingsensing optical in the content a leaf chlorophyll the measures a that device develop for using light wavelength, characteristics has absorption Chlorophyll method. different idea the material through which the light is determine to 660nm wavelength of light travelling, characteristic absorption strong the chlorophyll Utilizing content can be determine. Studies Studies show correlation between chlorophyll content and plants. nitrogen concentration Among in the essential macronutrient, important nitrogen comp is considered to be the most the proposed system Keywords current current which which is and better 80% cheaper than the ones in the market. tech compare with the
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 as from from
G
s
s efficient cropping - - measure by
cost emission
emission and
reenhouse GHG G (GHG)
summer maize double maize summer -
-03
(410b) (410b)
urvefor improved improved management of mineral
16) C
22934 du.cn -
University
( nar ost from summer maize in from summer the North China 459 - al
C s such as
hohenheim.de - hohenheim.de aize in the North China Plain China the North in aize - (0)711 NanHa M - proved to be the most promising promising most the be to proved Enno Bahrs Haifeng Xiao Semi sis / national government to reduce agricultural emission emission agricultural to reduce government national University of Hohenheim of University University of Hohenheim of University [email protected] 70593Stuttgart, Germany bahrs@uni are responsible are for responsible dominant gas greenhouse emission Tel: +49 Tel: nan_ha@uni the China Agricultur China
batement ummer aly a An nstitute forFarm Management nstitute forFarm Management A I I t fossil fuel S College of Economics and Management and Economics of College
L.) L.) as part of the winter wheat
of itigation itigation measures e objectives e of objectives this are article to calculate activities M Th Da ased
arginal M Zea Zea mays er B
substitution
summer maize, greenhouse gasemission, marginal abatementcost curve,
and mission from
to reduce greenhouse gas emission
E s ords:
w gation measures
ummer maize in southern Hebei Province. Results suggest that mineral fertilizer Developing Plain. Key option miti
agriculture in the North China Plain. Various mitigation policies by adopted been have andprograms technica lly feasible from summer maize. summer summer maize and to identify the most economically efficient mitigation developing a marginal calculated by life abatement cycle assessment and life cycle cost cost methodology. The analysis was curve.based on The primary data marginal collected in s 2011 abatement from seventy costs farm households application were producing and tillage from summer maize. fertilizer system system contributes an important share of greenhouse gas ABSTRACT Summer maize ( maize Summer t Compu inar 16- Sem 20 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 121
-04
. 16) ( nar cultivation Semi sis /
set set of time series data and
greenhouse a the field monitoring. To find To find monitoring. the field aly a An t of applications for visualizing and and visualizing for applications real real -
from
8581, JAPAN 8581, -
transformation (SST), which uses the the which uses (SST), transformation
in the
Da ased
eye” was developed by incorporating a a incorporating by developed was eye”
-
u.ac.jp
-
u.ac.jp formed
- er B u.ac.jp u.ac.jp - - u.ac.jp
- 2928 - Mitsuoka
ku, Fukuoka 812 Fukuoka ku,
642 - - rce and Bioenvironmental Science Bioenvironmental and rce environmental Sciences environmental environmental Sciences environmental Sciences environmental 92 - - - - Eiji Inoue SST mentioned above was adopted for detecting change change detecting for adopted was above mentioned SST
+81 Kyushu University KyushuUniversity KyushuUniversity KyushuUniversity KyushuUniversity KyushuUniversity Agro Agro Agro data. The validity of the method was verified by using the the using by verified was method the of validity The data. databasemeasured
Teruaki Nanseki Takashi Okayasu Takashi Andri P. Nugroho Muneshi HiromichiYoshida [email protected] [email protected] [email protected] [email protected] [email protected] eye using [email protected] - itoring itoring node was introduced to measure and accumulate
t Compu inar 16- Sem gradually due to the continuations
Division of Division of Division of 1 Hakozaki, Higashi Hakozaki, 1 - time series timeseries 10 Division ofAgricultural andResource Economics ing -
6 have proposed the singular spectrum singular the proposed have
Graduate School of Bioresource and Bioenvironmental Science Bioenvironmental and Bioresource of School Graduate Graduate School of Bioresou of School Graduate [1] expand are systematically.
long term monitoring, cloud computing architecture, singular spectrum transformation transformation spectrum singular architecture, computing cloud monitoring, term long the environmental environmental the
from ords: in the system w Change Point Analysis for Environmental Informationin Agriculture environmental data stored in the Agri Key points (SST), change point analysis point change (SST), eigenvalues and eigenvalues for eigenvectors a matrix characteristic then verified that the SST is capable of detecting the change points from arbitrary time series data time series arbitrary points from the change the detecting that SST of is verified then capable automaticallyand analysis point change a study, this In simple simple field monitoring and application actuation server. nodes, The database Web based cultivation. during field in detail information system, environmental mon and data management the data stored analyzing in have On been the database also the and developed. other hand, the stored data Informatization agricultural supporting system called “Agri ABSTRACT
out feature value hidden in the vast data stored in the database became difficult more and more in more in difficult became hidden thevalue stored the in data out vast database feature general. Ide and Inoue
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
to his data T
station were used used were
contract contract farms
75 weather weather and
nting, pest control and harvest harvest and control pest nting,
-05
16)
ield ield survey data of 2
Economics - r increasing stress from climate extremes F ( nar Academia Sinica Taipei,Taiwan, Repof China
33668975 - HuaLin - Hsun Hsu 2 - Cheng Chang - of Agricultural Economics Agricultural of
is whethe @eon.sinica.edu.tw [email protected] of Science and Technology and Science of APEC Research Center for Typhoon and Society and Typhoon for Center Research APEC Shu Semi sis / Emma Huang , +886 M Shih- Emily ors ors on yield. Ching National Taiwan University Taiwan National [email protected] [email protected] Departmentof Socio aly a An Department t Department Economics Institute ofInstitute Economics, - of concern concern of ctors and the tolerance levels of heat, precipitations and wind of precipitations heat, levels ctors and tolerance the APEC ResearchCenter for Typhoonand Society APEC ResearchCenter for Typhoonand Society Da ased l l losses from natural hazards and stabilize farm income which is 9F, No 97, Sec 1, Roosevelt Road, Road, Roosevelt 1, Sec 97, No 9F, Empirical Evidence from Field Data in Yunlin County Yunlin in Data fromField Evidence Empirical er B -
plant growth model, weather information, contract farming, vegetables, farming, contract information, weather model, growth plant
Department of Socio of Department
ole of WeatherInformation on Yield Performance of Carrot R ords:
w
The Production
climate change Key beneficialto allstakeholders in the supplychains. from the Environmental Protection Administration located in adjacent areas in located adjacent Administration Protection the Environmental from the identify key weather fa blows. The used be also can They quality. results of peak the at contract suggest fulfill and productivity that maintaining accurate weather forecasts can be to reduce instrumental potentia in of vegetable production. The of of production. occurrence vegetable severe increasing climate events in response in contract under production risk for vegetable a has posed particular to warming global recent decade. A key issue ABSTRACT pla planning, of stages all to critical is information Weather from a carrot producer cooperative in Yunlin County in Taiwan in Taiwan County in Yunlin cooperative producer a carrot from will will influence yield and variability quality, in addition to the overall yield levels. study attempts to link the local weather data and crop yield performance linkage and between identify key the climate fact t Compu inar 16- Sem 22 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 123 -01
17) and
, and plays
research
, for providing providing for ) ) which later especially especially on
earning at
BAU ar ( / Semin tion L a utilized
. duc Agricultural
,
in agricultural in fields agricultural Indonesia
, The faculty is involved in
. & E tion is emphasized. for students and other university uture
is carrying out teaching
eaching and F
op T Ad based based systems and methodologies to
- No. 1 & 7, Bogor, Indonesia , which indirectly , changewill which indirectly the life of
ICT Food sufficiency Food technologies (ICTs) technologies
7535658 ,
- University Bogor Agricultural University Agricultural Bogor 251 delivering the agricultural subject, - Widharto of 62 Darmaga Campus Darmaga . The resent, and IC inar 17- Sem P [email protected] tilization for T for morefor remunerative agriculture as as one of the state universities in Indonesia,
U
Librarian communication
agricultural development development agricultural Past, garding garding sustainable agricultural production systems and ICT versity Retired agriculture agriculture and rural development s in adoption of ICT in rural segments are ICT illiteracy, illiteracy, ICT are segments rural in ICT of adoption in s
he rural peoples etc. Various technological challenges that heprovides challenges technological peoples etc. rural Various with an aim to build to thefarmersto Kompleks Puri KemangAsri Blok E3 on services as well inenhancing
Bogor Agricultural University
, Indonesian Information and Information
hallenge of ICT
C elopment elopment . Bogor Agricultural University(BAU), Bogor, Indonesia: te, te, timely, relevant information and services The accura communities in Indonesia, especially Bogor Agriculturalwill be passed on University ( ABSTRACT In Indonesia be ICT can ICT in in agriculture is advancements The an development. emerging rural field and focusing on agricultural the enhancement of Bogor Bogor Agricultural Uni role important in the of human production qualified resources sense in broader the development in to be the was agricultural pioneer the mandated
providing extensi providing and and dev development accelerate accelerate Keywords: availability of relevant and localized contents in their own languages, easy and affordable affordable and easy languages, own in their contents localized and relevant of availability accessibility and other issues such as awareness and willingness for t among adoption technologies of new The The common problem a on perspective possible for solutions imparting imparting knowledge re environmental issues so in ICTs development by extending thatdevelopment students can carry farmers out research in the area of societal the use of
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 T led ricultural extension -
mplications for I xtension actors, blending blending actors, xtension
is concise review ICT projects
-02 ountries 17) C [email protected]
,
793103,Meghalaya, India
– R. Saravanan R. Schoolof Social Sciences xtension in India: Policy Policy India: in xtension eveloping Collegeof PostGraduate Studies ar ( / Semin tion E D Central AgriculturalUniversity (CAU) a duc Phone: +919436054939;Fax: +913682570030 Umiam (Barapani) (Barapani) Umiam [email protected] initiative pilots in India. Development practitioners are experimenting experimenting are practitioners Development in pilots India. initiative - & E tion gricultural Agriculture, ICTs, Lessons, Best Practices Best Lessons, ICTs, Agriculture,
A - e op T Ad
specific specific content generation and digitization, integration of research ming of e of ming - ords:
w
nce, nce, there are some projects shown the way and forward continue to grow and most ICTs for he years. he years. also lot ofare lessons of added tothe take initiatives variety However, ICT ABSTRACT ICTs are changing all the spheres of human lives. Hence, agricultural extension it also is no a exception popular to belief that, this. It is also expected that the IC extension extension systems are going to act as a key agent for changing agrarian situation and farmers’ lives by improving access to renewed information enthusiasm and sharing to knowledge. Hence, use mushroo new ICTs for agricultural advisory services led to innovative innovative ICT initiatives exclusively Unlike is agriculture other delivery. a sectors, complex, more extension, so agricultural for agricultural information he and knowledge other projects are floundering after few years of operation. Large number of stuck projects as pilots only and very few continuously t innovated, replicated and sustained in to move is time forward overit lessons, practical available the With action. of course future ag in (ICM) Management Communication and Information and ICTs integrating extension. Further, ICT capacity building in agricultural research and extension systems, systems, and extension research in agricultural building capacity ICT Further, extension. location
and IT technology solution providers, integration of pluralistic e pluralistic of integration providers, solution technology IT and ICTs the within momentum traditional sustaining extension for crucial methods,are continuous accountability and innovation commitment and with refinementfollowed need be agricultural advisory services by the implemented ICTs. since This 1990’s article in India, elaborates best success practices and and its also ingredients draws countries. for developing policy in services implications advisory for the effective ICT based agricultural Key
IC inar 17- Sem 24 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 125 -03
s
17) e attitude e attitude replies replies to
ionnaire surveys. ionnaire ar ( / Semin tion a duc questionnaire
8531, Japan , sentiment, analysis & E tion -
mprove OJT I
u.ac.jp
- op T Ad training chools in Japan 1161 - S Job -
252 - relational guidelines with program organizer - The igh 72 - - ku, Osaka Sakai, 599 nalysis to - H Teruo Akai Teruo A +81 Makoto Makoto Okada IC inar 17- Sem [email protected] Osaka Prefecture University Graduate School of Science of School Graduate [email protected] [email protected] Maruyama Tomoyoshi okushima Chamber of Agriculture of Chamber okushima cho, Naka - Tokushima Chamber of Agriculture of Chamber Tokushima T gricultural 1 Gakuen 1 A - 1 in Questionnaire erstanding of contemporary conditions and situations of Japanese gricultural high school, On school, high gricultural
A
atisfactions. atisfactions. We made an intense analysis of their relations between the strength of their interests and their possible satisfactions satisfactions possible their and interests their of strength the between relations - ion ion with farmers prefectural agricultural high schools, conducted an OJT s and some of them even stop their training while students satisfied may very well well very may satisfied students while training their stop even them of some and s job trainings to students, but they are often frustrated by different aspects of those - ords: w the - extract co and and shared dissatisfactions, those co and In 2009, supervisors. they OJT another conducted program with students, different where they evaluated students reports with those guidelines and gave them additional instructions and advice. As a result, all the participants maintained to and program the their 20% It of means in them interest their positivthat agriculture. reinforced a successful OJT quest their program through extracted be needs should and can early dissatisfactions detection possible of possible dissatisfactions and that Key
ABSTRACT agriculture. For this purpose, agricultural high schools in Japan offer opportunities of on training In In Japan, where fewer youths will pursue it agriculture, is essential to attract them with appropriate und In this we our OJT to attempt study, report employments. improve go on to agricultural programs based on cooperat an intense questionnaire about to supervisor reported their student in 2008 program and 2009. Each participating analysis. Tokushima Prefecture, what in they did and what they felt in each OJT and instance, some of them in 2008 had severe diss
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
esearch in in esearch
R graduate students were
to search relevant websites and
-04 sain , , which offer courses on Agricultural ciences ducation and 17) S purposes. Use of internet by the students is E
ks ks between the public university libraries are in al al standard. Development of education in these M. A. Zaman igher Faculty of Agriculture of Faculty H [email protected] S. M. Iqbal Hos Cell Ph. +8801711071190 [email protected]
gricultural Mymensingh 2202, Bangladesh 2202, Mymensingh ar ( / Semin tion Bangladesh Agricultural University Agricultural Bangladesh A a Departmentof FarmPower and Machinery oolfor duc T BangabandhuSheikh Mujibur Rahman Agricultural University & E tion
Internet, higher education, agricultural sciences sciences agricultural education, higher Internet, op T Ad
Internet as a ords:
w
ABSTRACT at research and education higher on internet of role the explore to conducted was study A two selected public universities in Bangladesh Sciences. One hundred and interviewed based fifty on eight questionnaires. It was teachers found and connectivity that and 90.8% 79 they used teachers post had - internet and reliable adequate on that internet agreed the teachers All regular contents. basis course selected the download internet, through obtained be can Sciences Agricultural of topics on different information which can be used for academic and research being gradually increased ininternet public facilities universities. The to Digitization universitiesof increase libraries and are internet services expandinglin the to the teaching and learning communities. progress. progress. It is expected that the higher use education of and internet research would systems bring of significant changes developing in nations higher and education would the finance. attain poor and institutions of a resource limited by glob influenced badly are countries Key
IC inar 17- Sem 26 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 127 -05 r 17) s to which
”
,
subscale, subscale,
m, m, especially in paradigm ar ( / Semin tion an (R.O.C.)
omparison a al C
Paradigm Scale”, and duc , Taiw al he 77
T rades
G & E tion Education
” which supports industrial and ,
op T Ad eliefs and 946 - B industry industry communication and development, paradigm -
ei Wangei
560 - M hen Kao al - C Conventional Agricultur Conventional - - 0919 Yi [email protected]
Shun epartments and
IC inar 17- Sem [email protected] D gricultural gricultural National TaiwanNormal University National TaiwanNormal University their views. Questionnaires were designed on the base of A
s ’ Graduate of Institute Environmental Graduate Institute of EnvironmentalEducation paradigm, ACAP scale, agricultural higher education higher agricultural scale, ACAP paradigm,
etween al B the students in this study have the tendency toward alternative tudents S No.88, Sec. 4, Tingzhou Rd., Wenshan Dist., Taipei City 116 City Taipei Dist., Wenshan Rd., Tingzhou 4, Sec. No.88,
paradigm in overall scale, as well as in both ecological and social agricultur
:
al r GIEE, efficient agricultural practices, and practices, agricultur the agricultural efficient “alternative - College griculture─the griculture─the “conventional agricultur Beus and Dunlap’s (1991) “Alternative (1991) Beus and Dunlap’s highly emphasizes emphasizes sustainability in the farming college investigate agricultural views students’ system. on the The two and paradigms, how higher purpose of education experience this shape study is to were delivered to freshmen and seniors in College of Bioresources and Agricuture at NTU2011. in fall 616questionnaires were responded, with reply a 65.3%. rate at The result showed agricultu ABSTRACT After After the Green Revolution, there are generally a two different worldviews regarding especially on the topic of protecting land vs. farm getting traditionprofit. Theyfound study the also and worldviews, students’ recognized to shape culture factor ruralpotential as a experience were education essential elements in agriculture. out Considering that highe the students in departments of bio agronomy, entomology, and entomology, have plant agronomy, and pathology higher microbiology affinitie Keywords alternative paradigm. alternative agricultural In education addition, higher compared with the that seniors, shows freshmen which shows paradigm, agricultural alternative to affinity higher in tend agriculture to lead paradig students to agricultural conventional terms of “competition vs. community” these Moreover, two had variables but an interaction, andit did not bother their significant “specialization vs. diversity” outcomes. dimensions.
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
the arm F round the the round A rinter and a pocket video
and videos). Our experiences experiences Our videos). and
upport
S ou are able to handle a wide variety ou able are a to wide variety handle
-01 pecific
S 18) ncludes ncludes persons from Eastern Europe with less [email protected] +4524481604
Business Development Jens Peter JensPeter Hansen ontext Knowledge Centre for Agriculture for Centre Knowledge C minar ( / Se AgroFood Park15,8200 Aarhus, Denmark ) ch (2
odes for r esea
C
QRcodes, smartphones.
especially as especially farm labour often i ords:
w –
Using QR
A package called QIC (Quick Information in Context) has being developed. QIC includes includes QIC developed. being has Context) in Information (Quick QIC called package A a simple web based system to generate QR codes, a QR label p Key To replace the use of printed Standard Operational Procedures (SOPs) and/or precise and and precise and/or (SOPs) Procedures Operational Standard printed of use the replace To time consuming instructions from the farmer/manager, a utilisation project of QR codes is and smartphones investigating as means to access farm. contextthe around specific instructions cam and farmers how the instructions there to use farms; the three on different elements a including implemented common been has YouTube QIC video. uploading for account (text pages materials have instructional themselves created working with QIC are mixed: Showing a farmer how to use QR codes him convinces of the about using QR potential Writing about in codes practice. its usefulness instantly gives low a response. experience withDanish farming standards. ABSTRACT y that demands a farm modern running In Denmark, ensure and works contract and labours of farm number a manage equipment; technical of demanding a is It legislation. and rules to legal according performed are activities all that job
R Sensor inar 18- Sem 28 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 129 -02
18) end web - ata k D server. The minar ( / Se
time by farmers dimensional labels, labels, dimensional ) ch (2 - , ROC. , end end web - r esea e raceability
. .
obile T
gricultur M A Gao
Zhang end prototype application system that traces
@126.com 2432495 - District, Tainan 71002, Taiwan -
6 - to R Sensor inar 18- Sem
- Chuan Liu - +886 Yu Hongmei Xiaolin tszhangxl [email protected]
ainanUniversity of Technology pplication of of pplication TianjinAgricultural University TianjinAgricultural University T A Departmentof EconomicManagement Departmentof EconomicManagement DepartmentofInformation Management food food was grown and handled throughout the supply chain onstructionfor end application service with mobile devices and bac and devices mobile with service application end
- C , QRCode,, MobileData Collection. dimensional dimensional labels. data Traceability uploaded in real - rvest rvest handling operators, marketers, research practitioners and policy o. 529,Jhongjheng Rd., Yongkang h is to develop a mobile data collection system to enhance the efficiency of efficiency the to enhance system collection data mobile a develop istoh
Traceability
ords: Development and w ABSTRACT Transparency Transparency in the way the farming activities by using mobile handheld devices (smart phone, PDA, or tablet PC) PC) tablet or PDA, phone, (smart devices handheld mobile using by activities farming the is of in operations this to developed The paper. the farming mobile capture information system consists of a front Key server. The farming information for every operation is coded in thetwo quick response (QR) code. scanningBy theproper operationlabels, the corresponding traceability data can be uploaded system is in prototype of implemented the mango in simultaneously traceability exporting The Tainan. to the back by data construction manual traceability miscellaneous is shown can be simply replaced by scanning two can provide data correctness and improve of confidence. consumers’ Applications this mobile traceability data collectionreduced. system significantly be can show construction that the complexity of traceability data traceability data construction. System architecture and operation scenarios system are traceability analysed. An for end the mobile resulted in the emergence of traceability, which is aimed to provide information visibility visibility information provide to aimed is which traceability, of emergence in the resulted processes. sales and transportation, distribution, packing, production, farming, the through Farmers, postha makers need good understanding traceability tomeet consumer demands of traceablefor agriculturalsupply chains. theObjective concepts researc this of and implications of supply chain
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
most expansive ones. Because of of Because ones. expansive most
du.tw in Taiwan. Taiwan’s tea products are re re easily damaged by the frost in the
-03 Wei Yen 33665364 - ntu.edu.tw Fu Kuo - Tzu Chiu - - 2 Air Jiang*Air - @ Shiang Lin - 18) Sheng Liao - ShengTseng - Yan IndustrialMechatronics Engineering IndustrialMechatronics Engineering IndustrialMechatronics Engineering IndustrialMechatronics Engineering IndustrialMechatronics Engineering IndustrialMechatronics Engineering ykuo [email protected] +886 [email protected] ------Joe Ming j Tzu- Chung Min [email protected] [email protected] [email protected] m Yu [email protected] d d Bio National Taiwan University Taiwan National National Taiwan University Taiwan National National Taiwan University Taiwan National University Taiwan National National Taiwan University Taiwan National National Taiwan University Taiwan National Branch, Taiwan Tea Experiment Station minar ( / Se , Taiwan Yuan Executive Agriculture, of Council Wenshan No.1, Sec.4, Roosevelt Road, Taipei 106, Taiwan ) ch (2 A A Remote Monitoring System for Departmentof Bio Department of of Department Departmentof Bio Departmentof Bio Departmentof Bio Departmentof Bio r esea Plant Frost Detectionin High Altitude Areas
the cool weather at the high altitude, the mild sunshine caused by frequent fogging in the in the fogging by frequent caused sunshine mild the altitude, high the at weather cool the morning and and evening, the short the duration, average isolation quality of the tea is largely improved. However, the tea leaves a ABSTRACT Tea is one of the famous important worldwide, and different agricultural kinds of crops tea products have oolong been tea, Dongding Oolong tea, and produced, High Mountain tea, just such to name as a few. Among the of is one the tea Mountain High products, tea these
R Sensor inar 18- Sem 30 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 131 -03 18) ) and minar ( / Se ) ch (2 r esea d is detected by the system, system, the by detected d is 4.05", E 4.05", 121°18'46.74" March, 2012, a total of 11636 data data 11636 of total a 2012, March, - sets that show possible scenarios of N N 24°21'3 ile Communication ile (GSM) Communication module and The The proposed system can measure the R Sensor inar 18- Sem end end server. This monitoring method can overcome the disadvantages -
high altitude, remote monitoring,frost damage, agriculture automation
ords: w began to collect the environmental parameters since began to Dec. 22, parameters 2011. collect the The environmental are parameters measured at intervals of ten minutes. Up until the mid of a number data including sets been have collected, frostdamage. Key the system will send a warning message been to has system the proposed The correspondentdamage. frost the prevent though to action take can GSM correspondent module. The 1759 in m, deployed the (Altitude: Wuling Farm wintertime, especially in the dawn, strongly affecting the quantity of and the in quality the affecting quantity the tea. dawn, especially strongly wintertime, In order to solve this problem, in this study, a remote monitoring system designed to reduce plant frost damage is developed. brought by manual measurement used in automatically detect the the frost damage. past. When a frost occurs The an proposed system can also temperature of the surface of the tea leaves and other weather parameters, such as relative relative as such parameters, weather other and leaves tea the of surface the of temperature humidity, wind speed, wind direction, and illumination. The measured parameters are transmitted though the Global System for Mob stored in a back
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
. WSNs ing, ing, and ser can analyze the the analyze can ser
-04 Cong Hu 33665364 - Yaw Yaw Ho - HouLiu - Air Jiang 2 - - - Min Yang Long Chuang 18) Sheng Liao - - - ted Context Computing Center Computing Context ted Jen Kun Ju IndustrialMechatronics Engineering IndustrialMechatronics Engineering IndustrialMechatronics Engineering IndustrialMechatronics Engineering Joe +886 - - - - [email protected] Min Modification Sheng [email protected] [email protected] efficient sensor nodeswith a very small sizehave been [email protected] - [email protected] National Taiwan University Taiwan National National Taiwan University Taiwan National National Taiwan University Taiwan National National Taiwan University Taiwan National National Taiwan University Taiwan National [email protected] Cheng Yi AgricultureYi ExperimentStation Yi AgricultureYi ExperimentStation [email protected] - - Chia Chia NTU Connec NTU minar ( / Se - Latency Convergecast Tree withDynamic - , Taiwan Yuan Executive Agriculture, of Council , Taiwan Yuan Executive Agriculture, of Council Intel No. 1, Sec.4, Roosevelt Road, Taipei 106, Taiwan he advance of Microelectromechanical Systems (MEMS) Systems he of Microelectromechanical advance t ) ch (2
Departmentof Bio Departmentof Bio Departmentof Bio Departmentof Bio r esea
RACT Balanced Load Balanced
A A Routing Algorithm Designed for Wireless Sensor Networks: ABST In recent years, varietya of power are are applied to many areas, such as industrial process control, medical monitor A monitoring. environmental typical wireless sensor network consists of a gateway, a is the used In this nodes. study, gateway number sensor and a of wireless large database, to transmit the datacollected by sensor nodesto the database. Then u a well developed due due to developed well
R Sensor inar 18- Sem 32 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 133 -04
18) battery real world minar ( / Se when choosing when choosing with a dynamic also also take ) ch (2 we
is applied to and suitable and for suitable various r esea consideration
nto algorithm algorithm this this algorithm, of energy consumption among sensor sensor among of consumption energy
balance mic modification, received signal strength strength signal received modification, mic R Sensor inar 18- Sem In additon, the additon, In
dyna
is a centralized routing algorithm
latency convergecast tree routing algorithm - he topology for a sensor node is determined by the gateway, and the node node and the the by gateway, determined is node a sensor for he topology balanced low This algorithm
T eceived signal strength indication (RSSI) i (RSSI) indication eceived signal strength . a r Wireless sensor network, sensor Wireless
and
ords: w propose modification data drawn from the database. In order to balance the energy consumption for each node, node, each for consumption energy the balance to order In database. the from drawn data we voltage parent nodes to construct the topology. transmits transmits the data according to the topology. In applications. applications. scenarios scenarios to its verify on performance the nodes. Key indication , energy consumption energy , indication
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 , In ing l trapping devices to devices trapping -
ering
Monitoring
capturerate of tobacco cutworm traps
iversity hatronicsEngineering the
e
-05 33665341 Fu Kuo - - Air Jiang 2 Shian Tsai Shian PangChen - - - 18) - Sheng Liao bricius),is one of the major pests that attackfruit - Cherng Shieh ShengTseng - - [email protected] Yan IndustrialMechatronics Engineering IndustrialMechatronics Engineering IndustrialMechatronics Engineering IndustrialMechatronics Engine IndustrialMechatronics Engineering Industrial Mec IndustrialMechatronics Engineering y Joe (Fa +886 ------
[email protected] [email protected] [email protected] Min Wen the the wireless sensor network (WSN) technology. Chia Yu [email protected]
[email protected] [email protected] [email protected]
National Taiwan Un Taiwan National University Taiwan National National Taiwan University Taiwan National National Taiwan University Taiwan National National Taiwan University Taiwan National National Taiwan University Taiwan National National Taiwan University Taiwan National of Bio of Bio of Bio of Bio using minar ( / Se No. 1, Sec. 4, Roosevelt Road, Taipei 106, Taiwan 106, Taipei Road, Roosevelt 4, Sec. 1, No. ) ch (2 Departmentof Bio Departmentof Bio Department Department Department Department Department Department Departmentof Bio Department Department SPODOPTERA LITURA SPODOPTERA usingpesticidesleave may crops,toxicresidueson further imperil Spodopteralitura r esea trapping Devicewith the Light Luring Mechanismfor -
uto
A the tobacco cutworm
However, over
.
An and vegetables in Taiwan. Its larva likes to eat the stems and agricultural anddamage. Therefore, business farmers spray usually pesticides to leaves kill the of plants, leading to pest Tobacco cutworm, Tobacco ABSTRACT humanhealth. In this study, in order to improv we a auto have system includes developed several monitoring which catch
R Sensor inar 18- Sem 34 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 135 -05 , 18) the
rm is when when the
on minar ( / Se
, proposed system is ) ch (2 lights stay The the field are required to r esea improve the capture rate of help to
s trapping trapping device is equipped with LED - , wireless network sensor
the system. Because the tobacco cutwo
into consideration.
relies on a car battery recharged by a solar cell solar a by recharged battery car a on relies . Otherwise, the LED
R Sensor inar 18- Sem he light LED energy supply Spodoptera litura Spodoptera resistor as a sunlight detector. If it detects the sunlight, the
- to save thereno is need to keep the lights LED on during daytime.the
Theenergy
. But more experiments in the lab and in
. is is issue for an important
of the tobacco cutworm tobacco the of turn turn off
cy we use a photo a use we wild area obacco cutworm, obacco a automation will be t
: phototaxis
resistor resistor cannot detect sufficient sunshine from an outdoor environment. The - lights tobacco tobacco cutworm agricultural Keywords the validatethe efficiency ofthe proposed system. deployed in in deployed addition to using chemical attractants, the auto preliminary research preliminary results show that t so energy efficien photo lights lights that have different wavelengths to attract the tobacco cutworm, after taken only active during the night,activetheduringonly In this study LED LED positive
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 se ed by U
antations. To ater W
sis on the ecological capacity ecological the on sis and and L
gineering
h
Xinjiang, China ustainable hohenheim.de -
makers might try to develop and implement a S
22603 - - n the lower reaches. Additionally recent agricultural hohenheim.de - hohenheim.de -
459 hohenheim.de year plans on national, provincial and prefecture level, and prefecture provincial on plans national, year - - - -01 ät Hohenheim ät Hohenheim Lin Li , scenario development, China 711 Til Feike - 19) @uni Tarim University [email protected] +49 Universität Hohenheim Universität Universität Hohenheim Universität Universit Universit Reiner Doluschitz 70593Stuttgart, Germany tilfeike Michael Kusi Appia was employed to set the frame for an indicator based Decision tuteofFarm (410c) Management Institute ofInstitute Farm Management Institute ofInstitute Farm Management doluschitz@uni y.mamitimin@uni Yusuyunjiang Mamitimin Insti Institute ofInstituteFarm (410c) Management Michael.Kusi_Appiah@uni evelopment for key key driving forces that impact the of future development the region were D
resource competition resource , College of Water Resources and Architectural En Architectural and Resources Water of College longthe Tarim River, inar ( n / Sem ectio A ot , and downstream counties might suffer from severe lack of water availability. water of lack severe from suffer might counties downstream and , e Pr cenario S tur
landusechange
ical ical data on county level from 1989 until 2009 were analysed. A tremendous increase in
ords:
w Integrated Key policies policies were The investigated. grain for green policy, encourages which the conversion of agricultural land into forests led to a sharp increase in the of establishment orchards, especially red date pl were assessed. The emphasizes on government the expansion of light to industry reduce the pressure on natural resources. Furthermore, four groups Finally of with local futures and together were key possible stakeholders. evaluated identified developed. They rangefrom focus on rapideconomic development toan empha ABSTRACT The Tarim River Basin is a continental arid region in economical also but extreme the vulnerability. Northwest Increasing ecological, population in of coupled China, development which with sustainable a is rapid limiting characteriz expansion resources, of water on pressure agricultural land enormous has put terms. Integrated scenario development region. the in management water and land sustainable for System Support To understand the current situation of land and water use in the region, and term in its stronger historical development,significantly statistis longincrease The be observed. can area production cotton especially land, agricultural o than river, the of reaches the upper along counties the evaluate short term future developments, the 12th 5 and sustainable development. Stakeholders and policy
comprehensive River Basin Management plan and focus on maximizing the output on regional level, or local local or level, regional on output the maximizing on focus and plan Management Basin River comprehensive prevail might interests Na inar 19- Sem 36 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 137 -02 19) state se by U n, n, and the large inar ( n / Sem ectio ot esource e Pr R ure ure of the supply, demand, tur
tate atural
S
N
Na inar 19- Sem 66324854 - 79 - Maitri Designs Maitri 91 Anita Gandhi Ahmedabad, India Vasant Vasant Gandhi onitoring Monitoring [email protected] [email protected] griculture in a a in griculture Indian Institute of Management of Institute Indian A ystemfor S nt that unless natural resources, including water and soils, are managed
ement ement of natural resources is becoming increasingly critical for raising : information systems, natural resources, decision support support decision resources, natural systems, information : atically monitor the demand that agriculture makes on the natural resources, how Information level. It includes the land use/ crops grown with their demand on natural resources such such resources demand on natural with their crops the grown use/ land includes It level. as water and soil nutrients, the of development natural resource use such as wells and water irrigatio both and ground surface covering infrastructure irrigation development initiatives in such as households watershedrural 542 of development survey a from projectsdata uses It for conservation conditions. soil ofof water improvement and the state of Andhra Pradesh. On the whole it of providesbalance, and natural resource use sustainability in a a pict the state, highlighting needs for use of and more efficient achieving sustainable for assistance and controls development livelihoods. and agriculture for resources natural Keywords The manag agricultural production and improving rural livelihoods technology drove in agricultural production and income India. growth but For it a is now increasingly becoming evide long time, effectively, production growth and livelihoods would user of suffer. natural resources and Agriculture is highly is dependent on the them. Yet largest there system is little effort to an of design the presents The paper sustainable. is this whether and be managed, can this the at agriculture by resources natural of use the monitors which system information ABSTRACT
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
it is necessary to monitor , earthquake disaster disaster earthquake ,
Contaminated by
8657,Japan -
6
volunteer group to develop a pocket
tokyo.ac.jp - 160
- tu tu soil in monitoring Fukushima. Iitate, ation sensor ation tokyo.ac.jp Village Village armland contaminated by radionuclides; - truck truck the eastern region of Japan, causing ability.jp 5841
- - , radi 3 - -03 ku, Tokyo 113 Tokyo ku, Kobayashi -
Tetsu Ito Ability Co.,Ability Ltd. of Sensor Networking Sensor of 19) - tetsu@x X
(FMS)
Daiki Tel: +81Tel: The University of Tokyo of University The The University of Tokyo of University The Masaru Mizoguchi Radionuclides [email protected] Division village [email protected] 1 Yayoi, Bunkyo 1 Yayoi, - 1 - 1 Graduate School of Agricultural and Life Sciences Life and Agricultural of School Graduate Graduate School of Agricultural and Life Sciences Life and Agricultural of School Graduate
oring system oring inar ( n / Sem ectio ot e Pr
field monit field tur time time data from fields collection in remote agricultural Asia. In October 2011,
Environmental Monitoringof real ords:
w
widespread widespread devastation. Since then, combined their experience agricultural and have been working on engineers a of variety projects. restoration throughout Japan One such have project involves the restoration of f however, this is a new type of challenge with many unknowns. For example, do do example, For unknowns. many with challenge of type On new March 11, 2011, a a massive earthquake s is this however, exist? for How soil should contamination we countermeasures of the evaluate efficiency the farmland decontamination efforts? We propose that ABSTRACT radiation continuously at points referred to as hotspots in rural areas. However, although although However, areas. in rural to as hotspots points at referred continuously radiation people need an economical radiation sensor that gives a relative value, such meters are typically expensive. These high costs prompted a radiation sensor. We have also been developing a field monitoring system (FMS) for quasi-
reconstruction, remediation of of remediation reconstruction, we we added this new radiation sensor to our in si an that We FMS believe sensor. an of FMS with a outline radiation the Here we explain fitted with a radiation sensor contaminated is farmland. a useful tool for remediation of the radionuclide Key
Na inar 19- Sem 38 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 139 -04
19)
tudy tudy S verwintering inar ( n / Sem ectio O ot e Pr heir T ystem to tur
S tute
onitoring
Jen Lin Chin Chin Lin Na inar 19- Sem Shu Yu - Tai Chao Chang Lu M - - - utterflies and Li Chiang - 230399782660ext B - 2 Yun [email protected] - Hung Chi [email protected] Chau- Jung Hung row +886 C Taiwan Forestry Research Institute Research Forestry Taiwan Taiwan Forestry Research Institute Research Forestry Taiwan TaiwanForestry Research Insti Taiwan Forestry Research Institute Research Forestry Taiwan Taiwan Forestry Research Institute Research Forestry Taiwan Taiwan Forestry Research Institute Research Forestry Taiwan utomatic A abitats in Southern Taiwan H urple P ntegrated species species of other danaid butterflies in fewer numbers. However, habitat
serve this diverse array serve of this array and diverse butterflies to habitats. degraded their restore
Purple Crow butterfly, overwintering, monitoring, sensor network sensor monitoring, overwintering, butterfly, Crow Purple
An I ords: w uding data transformation, documentation, archiving and are all in included analysis archiving documentation, uding data transformation, verwintering ndreds ndreds of thousands of Purple Crow butterflies (Euploea spp.) fly to dozens of O wireless wireless networking, radio communication, environmental sensors, data as a new model serve management, may which system, monitoring a to build analysis information and Dawu County, of Kaohsiung in Liukuei groves 3 hill selected We research. ecological of to Taiwan eastern and in southern County Kaohsiung of and Maoling County, Taitung of 3 sensors, A of 43 total system. meteorological monitoring sensor set up the wireless video cameras were installed incl on internet. through shared 14be can information towersall and system monitoring at integrated this the 3 sites. Information management Key To monitor the e.g., physical temperature, characteristics, humidity, wind speed etc., of the we habitats, the Purple integrated ofCrow’s overwintering cutting edge technology destruction destruction in has identified be to needs Crow Purple seriously overwintering the of threatened requirement habitat the Therefore, survival of Purple order Crow to con in recent years.
ABSTRACT Hu "Butterfly Valleys" Purple of 4 species (or the with 8 Along year. each November actually of end the around groves) overwintering are in southern Taiwan Crow (ca. 23° 03' N) for
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
, using
destructive test - nsuitable The The result showed experienced experienced farmer U - roduction , , and can that control P was developed
r of
near infrared spectroscopy infrared near
accine as light source and light receptors, receptors, light and source light as -01 etecto
V
unsuitable eggs. D u.ac.jp was developed
20) -
u.ac.jp
-
visible and and
emitting diode (LED) light source. Normal Normal source. light (LED) diode emitting .niigata 6657 - - were used were
2181,Japan hashi - imura akano akano n egg farm, where a well a where farm, egg n 262 akizawa nfluenza O K - N N cerns. cerns. Therefore, here, a non
I
T normal mail.cc
S. K. T. K. 025 estructive @ K. of normal eggs were higher than that of unsuitable of that unsuitable than were higher eggs normal of ( Seminar 2) / Niigata University Niigata Niigata University Niigata Niigata University Niigata Niigata University Niigata
D - e ( Niigata 950 se in in se [email protected]
on U f12e007d d photodiodes goshima Immaculate Heart University Heart Immaculate goshima N Ka for detection software that is able to measure the optical Graduate School of Science and Technology and Science of School Graduate Graduate School of Science and Technology and Science of School Graduate Graduate School of Science and Technology and Science of School Graduate Graduate School of Science and Technology and Science of School Graduate of LED lighting. LED of gricultur or a ggs distinguish between E s f tion Moreover, a
eggs by candling. Linear discriminant analysis was applied using wavelength wavelength using applied was analysis discriminant Linear candling. by eggs absorbance, influenza vaccine, LED, vaccine, influenza absorbance,
hicken
C ords: Development ofa infrared spectroscopy (NIRS) and a light a and (NIRS) spectroscopy infrared all the optical absorbance values
w -
Key the durationand interval characteristics of 36 eggs in a typical shipping tray shipping typical a in eggs 36 of characteristics assessed the absorbance data to respectively. eggs. The rate of discrimination between the 2 types of eggs exceeded 95% when using using when 95% exceeded eggs of types 2 the between discrimination of rate The eggs. analysis and 2 linear in discriminant the wavelengths light visible range. To reduce the an lights LED cost, production that allowing allowing distinction of suitable and unsuitable near chicken eggs ABSTRACT In Japan, chicken eggs fertilized are used to produce vaccine. influenza some However, eggs do not develop, and then contaminate the vaccine economic stock solution, losses causing large and raising health con and eggs unsuitable were sampled from a
Applic inar 20- Sem 40 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 141 -02
20) 33 - 12.82 of the -
36 and NPK
-
g/ha g/ha of SP ( Seminar 2) /
e ( 16.87 % 16.87 and 2.31 - bit AVR 128 microcontroller - gricultur or a
3.33 3.33 %, 0.38 s f tion - a tudy Program, Graduate School Graduate Program, tudy nd Northing direction which was enough for for enough was which direction Northing nd
P. Gunawan P.A.S Radite B.Budiyanto W. Hermawan M. Tahir Sapsal Tahir M. or Agricultural University Agricultural or [email protected] Bog Bogor Agricultural University Agricultural Bogor Bogor Agricultural University Agricultural Bogor Bogor Agricultural University Agricultural Bogor Bogor Agricultural University Agricultural Bogor Applic inar 20- Sem Agricultural and Food Machinery S Machinery Food and Agricultural School Graduate Program, Study Machinery Food and Agricultural
hicle. hicle. The has prototype with system metering type star The wheel rotors.
Dept. ofDept. andMechanical Eng.,of Biosystem AgricandTechnology, Fac. Eng. Dept. ofDept. andMechanical Eng.,of Biosystem AgricandTechnology, Fac. Eng. Precision farming, variable metering device, electronic metering electronic device, metering variable farming, Precision
Dept. of Meteorology andofDept. Fac.Meteorology SciencesMathematics andof Geophysics, Natural e dosage precisely and quick. e precisely dosage of recording also allowed The system control
ords: w Variable Rate Fertilizer Applicator Based on AVR Microcontroller fertilizer and 550 kg/ha of NPK fertilizer. Stair response operation on single rotor to on rotor the single operation response Stair and NPK 550 of kg/ha fertilizer. fertilizer target dose 50, 100, 150, 200, and 250 kg/ha in the field using urea, SP granular fertilizer gave errors in the range of 0.28 data data during the process of application. Its position in DGPS. the field was monitored using showed Test had results athat to the metered fertilizer linear rotation relationship module. module. The system developed was able to precisely meter the changed granular fertilizer and th with operation or rotor in double rotor single either with time along and rotor consistent coefficient determination of more than 98%. In single could rotor give operation, dose the of application metering up to 370 kg/ha of urea 800 fertilizer, k respectively.. % Geodetic data conversion to the local block. method with per 5 coordinates ha of decimal data can using precision 0.3 i.e. result in accuracy, less sufficient than differential than ECEF less to area a had Easting both m 100 ENU than less trip m for usually 0.3 which field paddy in application Key speed speed of based the on digitally was rotors an controlled 8 The The developed granular fertilizer applicator was 4 rows ve field paddy mounted on a multipurpose ABSTRACT
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
Mustard eye. eye. The
-
systems systems were is effective to - pes, and so pes, on.
cost irrigation control control irrigation cost - . The system is utilized
TM reenhouse ring sensors system in in Agri the system
G -
8581, JAPAN 8581, eye” eye” in which a field monitoring, crop
-
- Center
-03
greenhouse, which covers monitoring and
ystem for
by field monito a
S 20)
u.ac.jp
u.ac.jp
- -
u.ac.jp u.ac.jp - -
2928 step.com - irano - kayasu Mitsuoka
ushihara
642 University Inoue n for the irrigation unit in the greenhouse while the - ontrol
ku, Fukuoka 812 Fukuoka ku, - environmental Sciences environmental environmental Sciences environmental environmental Sciences environmental 92 C - - - - shi O Eiji @bpes.kyushu system for controlling agricultural facilities in a greenhouse Naturalstep Inc. - ( Seminar 2) / +81 KyushuUniversity KyushuUniversity KyushuUniversity Kyushu KyushuUniversity Agro Agro Agro Osamu H
l Property Management Management Property l ing ing have systems been using developed ICT and (information ushihara@na Taka e ( f Hajime F Muneshi
[email protected] Andri Prima Nugroho [email protected] [email protected] [email protected] mitsuoka tion sub generator, etc. has not been developed and installed up to present. The The up present. to installed and developed has been not etc. generator,
2 Division of Division of Division of Intellectua ntelligent I 1 Hakozaki, Higashi Hakozaki, 1 - 10 - gricultur or a 6 Graduate Schoolof Bioresource andBioenvironmental Sciences s f tion a
em for agricultural facilities. The prototype system for establishing a low establishing for system prototype The facilities. foremagricultural monitoring and actuatingsystem, global and local management,control system, feasibilitystudy : Development of
) cultivation rapa in the greenhouse.Brassica
actuation syst improve quality of agricultural product and reduce the energy used for facilities introduced In in a this greenhouse. study, we proposed an control intelligent system for system has been designed based on a single board microcontroller called Arduino called on microcontroller based board a single has designed been system actuation system based on agricultural information measured
developed system was developed applied to optimal and control establish for irrigation Japanese ecological ( Spinach Keywords as a local system, sub by management the is achieved which system actuation has the of local configuration a controlling functio Authors Authors have also proposed the supporting system called “Agri growth and quality evaluation, work recording, and online data offering and sharing sub Various informatization agricultural support ABSTRACT communication technologies) to improve agricultural system in productivity.general and Howeverthus is strictly agriculture influenced by is climate, weather, very soil conditions, complex crop ty incorporated. On actua the hand, other incorporated. such as a pumps,heater, fans, a CO Applic inar 20- Sem 42 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 143
-04 ate ate IR) - itr 20) n
(FT than than the
the ental ental results more
nitrogen content content nitrogen
was nitrogen, were very very were nitrogen,
( Seminar 2) /
ate nitrogen at the cross cross the at nitrogen
juices squeezed juices from squeezed e ( ate part ate
Nitrogen Content highest highest gricultur or a
ate
8507,Japan -
he contents dynamically and seriously and seriously dynamically he contents the index of the average information the of of index the information average nitrogen nitrogen contents showed the excellent
s f tion
method. The spectral features of the petiole petiole the of features spectral The method. a u.ac.jp
- ate could be more suitable for the measurements the measurements for suitable be more could
content content at the nitrogen, and the relationship between the peak peak the between relationship and the nitrogen, nitrogen,cultivation
te juice a o Kumon o ate r cho, 514 Tsu, Mie - IchiroSuehara Mie University Mie Mie University Mie University Mie Mie University Mie [email protected] - +8159231 9603 Kagome Co., Ltd. Research Institute Research Taka and and the nitr Daisuke Kihara Daisuke Infrared SpectroscopicMethod
- 1 - Ken Takaharu Kameoka Takaharu Atsushi Hashimoto, hasim [email protected] ,in whichthe peaks characterizing nitr
1 - Applic inar 20- Sem ion chromatography ion
infrared spectroscopic analysis in the agricultural fields. agricultural the in analysis spectroscopic infrared - n that the petiole
Department of Sustainable Resource Sciences Resource Sustainable of Department Department of Sustainable Resource Sciences Resource Sustainable of Department Sciences Resource Sustainable of Department Department of Sustainable Resource Sciences Resource Sustainable of Department We We then collected the infrared spectra of the
. information could not could reflect information 1577Kurimamachiya
seems
the simple cross sections of the petioles, and the spectra indicated spectral of in in Plant Using Mid nitrogen nitrogen contents than the leaf one. Moreover, we could acquire successfully the
, the infrared spectroscopy, petiole, nit petiole, spectroscopy, infrared
te the lowest one. Because an extremely small area on the leaf could be measured by by the be could on area measured leaf the small extremely one. an Because the lowest a
at Simple and Rapid Measurementof Nitr ords: w linearity. In addition, it addition, In linearity. accurate accurate spectra similar to those of the aqueous solution of nitr of solution aqueous the of to those similar intensities around 1350 and 1392 cm of the nitr spectroscopically similar spectroscopically to the spectra of the extracts. Consequently, the experim presented a great potentiality to obtain the quantitative information of nitr of information quantitative the obtain to potentiality great a presented the nitrate nitrogen content the leaf and and petiole, analyzed based their onspectral were features quantitatively This study aims to develop a simple and rapid determination method of of nitr method This aims study to a develop determination and simple rapid ABSTRACT decuple decuple ATR method section of petiole using the mid the using petiole of section Key extracts around 1350 and1392 cm nitrogen nitrogen contents on tomato photosynthesis leaves and could be an were index of the plant carefully vigor. T studied, within the distributed and leaves, the since ratio of the the leaf is a place for a by obtained contents nitrogen representing representing nitr of the distributions the Firstly, method. information (ATR) reflection of total attenuated an with the spectroscopy plant vigor using Fourier transform infrared
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
light , period
ystem for for ystem
S eriod
P Two set of lighting was used, used, was lighting of Two set
plant growth growth plant of light exposure can effectively
rowth -01 G g g driver diode, and circuit light intensity as as efficiency of 80% and above. In the 21) 4633 - ompensation ompensation h rate is doubled and the growth period is stian University
iode iode and with light intensity of 2500 LUX C 265 @cycu.edu.tw - lant 3 - P Yaw Yaw Chung Tsun Chen - - of Electronics Engineering Electronics of Engineering Electronics of +886 he Po t Wen [email protected] g9876611
( Seminar 2) / ighting , compensation system, hung Yuan Christian University Christian Yuan hung Chri Yuan hung L C C Department Department ( tion This study presents the use of light emitting diodes for light light for diodes emitting light of use the presents study This 200,ChungPei Rd., Chung Li , Taiwan 32023 , R.O.C , 32023 Taiwan , Li Chung Rd., 200,ChungPei hortening ula Sim S blue (7:1 ratio) light emitting diode was used in the lighting system. -
: light: emittingdiodes The system composed of light emittin AutomatedLED
compensation technique in technique compensation the extending plant exposure to light with enough radiation intensity. reduce reduce the growth period. sensing circuit. When on. switch will diode lamps emitting light circuit, theintensity sunlight intensity is wherein 5000 LUX below white light emitting 2000 d LUX of red combination through the light experiment, lettuce plant was used, from seedling to crop harvest, under the it exposure, takes 60 sunlight to 90 days but system with it the compensation lighting proposed only takes 30 to 45 days, in which the growt The The system power supply is DC 5V, consumption of current the which system is is 1.25W, and less it than h 0.25A, total power ABSTRACT and Intensity time of light exposure is one of the key to the growth rate of vegetables. With enough light intensity and extending the time reduced to 50%. Keywords intensity ng & Modeli inar 21- Sem 44 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 145 -02 21)
ater W oil ( Seminar 2) / S
( tion
patial
Model S ula Sim center
odel,
d. They d. They have proven beto effective
M
sity
rop rop ydrological C H
Ling Yeh msu.edu - YuanChien urface. urface. This information can be used in the - @ Yin Chou 24516669 , Seatwen,, Taichung, Taiwan - - Mei Bruno Basso [email protected] 04 [email protected]
Chih basso Tien Feng Chia Univer Chia Feng Feng Chia University Chia Feng Feng Chia University Chia Feng
ng & Modeli inar 21- Sem Michigan State University State Michigan ble solution ble to solution create spatial crop growth model by
Dept. of Sciences Geological odeland
M . l ntegration of I Geographic information system research center research system information Geographic Geographic information system research center research system information Geographic Geographic information system research system information Geographic No.Wenhwa 100, Rd. mode alance alance B p model, soil water balance, hydrological model, spatial information spatial model, hydrological balance, water soil model, p
cro
spatial crop crop spatial
tudy on the S new ords:
w The ABSTRACT Crop model has been developed for decades to predict the crop yield or to impactassess the from the environment etc.. Most of the robust crop on based fiel a models in point the crops the of the and soils simulate the changes in simulating the water balance of soils when the drainage is vertical, often an unrealistic unrealistic an often vertical, is drainage the when soils of balance water the in simulating could analysis terrain With the technology, assumption. in advances information spatial describe the movement of water on the s simulation of the soil water balance. Spatial soil water balance model simulate In the the landscape. routing across the how and spatialsoil water balance water affects the terrain this study, we propose consists This paper model. a hydrological and model balance water soil spatial possi integrating of the reviewthe of crop model, terrain analysis and soilwatersimulation, the framework of the Key
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
ector V tudy in in tudy S ase upport upport C
S p failure caused by floods n
O
m of this research was to develop develop to was research this of m 1836 - l. Thebest resultof prediction is at
thematics and Natural Sciences Natural and thematics -03
ainfall: A ainfall: 1364 - ased -
R University B 21) l University l 821 -
Mushthofa odel post 16680 : M [email protected] AgusBuono Muhammad Faqih onthly Monthly
8625584/62 - [email protected] ( Seminar 2) / Bogor Agricultural Agricultural Bogor Bogor Agricultural University Agricultural Bogor Bogor Agricultura Bogor Bogor Agricultural University Agricultural Bogor 251
- Indramayu District Muhammad Asyhar Agmalaro Asyhar Muhammad 62 meteorology, Faculty of Mathematics and Natural Sciences Natural and Mathematics of Faculty meteorology, redict ( tion P
ownscaling ownscaling ula Sim D or Climate Risks and Opportunity Management in Southeast Asia and Pacific and Asia Southeast in Management Opportunity and Risks Climate or
Statisticaldownscaling, global circulation model, supportvector regression, - Agro of Department Department of Computer Science, Faculty of Mathematics and Natural Sciences Natural and Mathematics of Faculty Science, Computer of Department Department of Computer Science, Faculty of Mathematics and Natural Sciences Natural and Mathematics of Faculty Science, Computer of Department Department ofDepartmentFaculty Computer of Science, Ma
Center f
egression to R ords: Statistical Statistical
w
ABSTRACT Knowledge of planting the determine to used be can rainfall of weather information Accurate sector. and agricultural climate, especially rainfall pattern so and time is that appropriately, farmers can avoid cro downscaling statistical of significantly Techniques rainfall. low to needed due drought and rainfall high to due in (SD) using a global model circulation output (GCM) are commonly used as a primary The ai system. the climate tool and to learn understand an SD model GCM can that showed results using The research of Indramayu. district in the supportrainfall monthly vector regression (SVR) with beused predictto the GCM average valueof monthly rainfal 0.766. as of correlation inputaverage an having toStation Bondan the predict Key monthly rainfall monthly ng & Modeli inar 21- Sem 46 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 147 -04 g the
21) upply S r collaboration
(IPB)
pproach ( Seminar 2) / (IPB) (IPB) A
SCOR model approach. approach. SCOR model
(IPB) hrough hrough
T
the ( tion s, as well as the associated
odel M Indonesia
ral University ral - ula Sim ricultural University ricultural
a simulation model of SCM.
gribusiness
Bogor Ag
A -
for 8313813
ndustrial Technology ndustrial
- 251 ving its affect onbusinesses and theirmanagement. These iness executives with an opportunity to examine critical - Management Agro I +62 basedapproach to SCM [email protected] Pajajaran Raya, Bogor 16151 16151 Bogor Raya, Pajajaran [email protected] -
Yandra Arkeman Yandra Nunung Kusnadi Mechanical & Biosystem Engineering Biosystem & Mechanical Hoetomo Lembito [email protected] ng & Modeli inar 21- Sem imulation and SCOR SCOR and imulation Jl. hain
Department of Agribusiness of Department - [email protected] [email protected] Kudang SeminarBoro S dvantage C A Department of of Department ural Technology (Fateta), Bogor Agricultural University Agricultural Bogor (Fateta), Technology ural
Department of Student of Doctoral Program in Business Management Business in Program Doctoral of Student ynamics ynamics Building MB IPB D in in the SCM for agricultural products for delivering value to consumers while
ompetitive Faculty of Economics and Management Bogor Agricultural University Agricultural Bogor Management and Economics of Faculty C Faculty of Agricult Faculty of Agricultural Technology (Fateta), Bogor Agricultu Bogor (Fateta), Technology Agricultural of Faculty Graduate School of Management and Business and Management of School Graduate
ystem ystem Chain Operations Reference (SCOR) model to assist firms in increasing the effectiveness of strategies S CompetitiveAdvantage, Supply ChainManagement, System Dynamic,SCOR
: A and
supply chains, and to provide a process a provide to and chains, supply e e global business including environment is agribusiness in a state of transition, being influenced by Achieving information flows. Supply chains are essentially a series of linked suppliers and customers; every customer customer every customers; and suppliers linked of a series essentially are chains Supply flows. information end ultimate the reaches product finished the until organization downstream next the to supplier a turn in is user. Th globalization, strategic alliances, merger are andfirms agribusiness advancement acquisition, of informationresult, a As technology business also is habusinesses. all of processchains supply of and management the reengineering.effect turn in Thechanges rapid in to global challenges responding by the economy the emerging seeking of benefit greate and integration with arrangements. trading profitable both their The Supply suppliers- and their customers to evaluatin in A dynamics system of potential ensure system The agribusiness. in dynamics arises that model problem the more of for understanding SCM sustainable will be advantages. and competitive increasingly used challenging achieving in market as place alternatives SCM with available the growing a into field insight an of generate decision to competitors makers is support employed by tool SCM decision for evaluation and The purpose of this paper is to provide agribus issues ABSTRACT The supply chain transformation management of (SCM) goods from encompasses the all raw materials activities stage, associated through with to end the user flow and
Thepaper uses casestudy of PalmOil Industry to demonstrate remaining globally competitive by developing system dynamic simulation and and simulation dynamic system by developing competitive globally remaining Keywords
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 n the
ories smallest smallest
Thailand, hrimp
measuring the S
Korea,
has has been designed for egulation
R South
, Indonesia
ecurity of Indonesia. The shrimp is exported is exported The shrimp of Indonesia. models of monitoring and evaluation and of models monitoring evaluation
-05
S ased on -
B 21) States, China,
esignfor Indonesian ood
product
F D has has shown its availability on [email protected] United roduct
+622518621974 [email protected] P Indonesian Indonesian shrimp contributed about US$ 75.38 Wahyu Fitrianto
odel Model ( Seminar 2) / Bogor Agricultural University Agricultural Bogor Bogor Agricultural University Agricultural Bogor Hartrisari Hardjomidjojo oil exported - xport ( tion Department of Agroindustrial Technology Agroindustrial of Department Department of Agroindustrial Technology Agroindustrial of Department E non ShAssy v.1.0
ystem Dramaga Campus, PO Box 220, Bogor 220, Box PO Campus, Dramaga ssurance and S A main ula Sim hrimp hrimp has been rejected by destination countries. Indonesian tries such as Japan, ShAssy ShAssy (Shrimp Assessment System version 1.0)
uality Shrimp Assessment System, Quality Assurance, Food Security, Model Security, Food Assurance, Quality System, Assessment Shrimp and European Union.
Q :
ions are considered as components on quality assurance system and security of is one of the
Assessment Assessment
odel called government official in monitoring and evaluating the performance of shrimp farms based based farms shrimp of performance the evaluating and in monitoring official government on the indicators related to of suitability quality assurance and food regulatio security Model was by standards. developed using based of approach system on comprehension system mechanism. The model consists of six sub shrimp processing, harvesting, collecting, fish cultivation, products testing laborat and fish Model importers. has been and verified with validated of department fisheries to that showed Result non the the highest is conformity standard found at shrimp farms (70%) and shrimp collectors is (61%). performed The for importers (5%) best and performance processing units Assurance described and (15%). The Food by Security result have shows been that proven not sufficiently farmers implemented by the and collectors. effectivenessof suitability achievementcompared todefined standards Keywords Design Philippines fish products. Certification required is related to conformity of achievement on standard on of standard achievement is to conformity required related Certification fish products. operation procedure of shrimp cultivation, sanitation, import procedures and HACCP. M to to export revenue on 2011, but occasionally the the country shrimps. faced of exported rejection to s minimize in order the of shrimp quality the monitor should problem of quality, so that has declared government that Indonesian 31/2004) (no. regulation on Based government certificat ABSTRACT Shrimp to some coun ng & Modeli inar 21- Sem 48 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 POSTER 149
-01 er t related related - os P addition to addition
ly chain can roduction P to integrate RFID
over over the world. To
Tsai Dai Hsieh
Chang
En - 5820822#119 Ting - Fang - 5 anagement ofPhalaenopsis - Kuang Ting - M [email protected] [email protected] Wei 886 [email protected] [email protected] Ting- + Po oriculture Research Center Research oriculture on and Security Technology Center Technology Security and on Fl Floriculture Research Center Research Floriculture Floriculture Research Center Research Floriculture only only the production information but the information about the
Industrial Technology Research Institute Research Technology Industrial value value chain management system of phalaenopsis can increase the mation mation center program of the Council of Agriculture, the Floriculture Identificati
ce then, RFID has been widely adopted in the logistics sector. RFID Mart Corporation showcased the application of the Radio Frequency Identification Taiwan Agricultural ResearchTaiwanAgricultural Council of Institute, Agriculture, Executive Yuan Taiwan Agricultural ResearchTaiwanAgricultural Council of Institute, Agriculture, Executive Yuan Taiwan Agricultural ResearchTaiwanAgricultural Council ofInstitute, Agriculture, Yuan Executive -
Tissue culture, greenhouse production, tray positioning tray production, greenhouse culture, Tissue
pplication of RFID on the the on RFID of pplication A technologies were also in technologies the introduced of management cases the where Recently, production process. RFID is applied to agricultural products have often been seen improve in the countries all efficiency of Taiwan’s agricultural Agriculture put production their focus management on the and development quality, of RFID the applications. traceable Since Council data RFID reading offeatures capability, not instant and of the entire efficiency management enhances ultimately as this well; chain becomes transparent supply supply chain. With RFID, information on product events occurring be data in can everyThese part status. of current theof their supp picture can full the get suppliers and and tracked, be recorded optimal their at can stay processes production the and improvement, process of basis the as used further by infor the Funded conditions. of management to RFID the production of applying the idea and verified planned has Center Research phalaenopsis, which is the subject of the pilot into implementationthe production management plan. of phalaenopsisThis planto boost intends its efficiency. As production theprocess increases, control the survival accuracyrate also of rises. The the results of our show verification that the introduction of RFID into the of the chain transparency and supply the enhance speed and of accuracy the The data data collection. collected in real time and on site can then be utilized to improve the operation process increasing in the competitivenessof phalaenopsis management industry Taiwanin will beeffectively strengthened. efficiency and added Keywords: values. Consequently, the international
In In 2005, the Wal ABSTRACT
(RFID) technology. Sin The
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 ), ), as well as
). ystem S
nformation ) ) and the Tropical & Fruits Subtropical I http://www.npgrc.tari.gov.tw mate mate change. There are two types of
23317807 - 4 - Chie Wen FenChang .gov.tw - - ShuChen 886 Ien + [email protected] [email protected] Shu (germplasm), fruit tree esources http://caes.gov.tw/FruitGermplasm
[email protected] Division ofPlant Germplasm Division ofPlant Germplasm R Chiayi Agricultural Experiment Station Experiment Agricultural Chiayi Taiwan Agricultural Research Institute Research Agricultural Taiwan Institute Research Agricultural Taiwan Taiwan Agricultural Research Institute Research Agricultural Taiwan enetic http://digifruit.tari G m m Information Network has collected the genetic resources data, enera, enera, and 1,466 species of plant germplasms. The Temperate Fruits Crop formation formation System provides the query service for the data related to
Crop, genetic resource
-02
ABSTRACT improvement, genetic agricultural of foundation the is germplasm of diversity genetic The sustainable agriculture and coping germplasms with cli preservation,including seed In preservation. this we report, intend to preservation the introduce database seed of preservation the and Plant vegetative Genetic Resources Information System ( propagation Germplasm Information Subtropical and Tropical Network The peach. and pear apple, as such has (lines), 160 cultivars of data collected the images and Fruits detailed characteristic Germplas preserved seeds. Currently, there are 75,314 of of seeds. records Currently, data, records preserved 27,782 passport characterization data and 8,517 records of image data in families, the database, 783 covering 193 g covering47 families,117 genusesand 213 speciessince 1918. Germplasm Information Network ( Network Information Germplasm The Plant Genetic Resources Resources Center In was established in 1993. The Plant Genetic Keywords: the two vegetative propagation preservation database of the Temperate Fruits Germplasm Germplasm Fruits Temperate the of database preservation propagation vegetative two the Information Network ( er t os P 50 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 151 -03 er t os P
Ubiquitious , care. - e
gricultural
A (SMS) s’
mail, mail, and fax, based on -
latform P channel utilization of utilization channel in resources, -
Wu
esultsfor the R
ong 23126974 Short Message Service - Z - , 2 - Agricultural information Agricultural 886 Mobilization , + Hong [email protected] als als of “developing active services,” “creating a quality le devices le Information Management Center Management Information Council of Agriculture,Council Executive Yuan mobi , mplementation I ious agricultural resources, setup an integrated information portal, portal, information integrated an setup resources, agricultural ious nformation I government go Mobile applications - , government
- nternet nternet technology gains in popularity, agricultural applications specially e bling bling the general public to fully experience the convenience of agricultural
dividual dividual requests, to improve the access farmers’ to and information agricultural Building and Network Society Network ABSTRACT To achieve the e The platform actively sends information to farmers via SMS, e their in to to enable communication timely aid in policy making, marketing, and efforts welfare farmer promote to measures appropriate with farmers providing by As mobile i designed for mobile devices increase the immediacy and convenience of information services and help users obtain and diversified multi turn ena Keywords: and and provide agricultural information through diverse publishing channels within one website. information communication services and services. information applications. agricultural mobilized of era In new a unveiling short, these advances are life,” “increasing universal access to information services,” and “enhancing social care,” care,” and social toservices,” access “enhancing universal “increasing information life,” the Council of Agriculture (COA) has built var compile to the platform agricultural information mobilization
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 ebsite W ntroducing RFID I nformation
I
te
sage by tw
U Executive Yuan Executive Yuan Executive Yuan Executive Yuan , , , ,
ystem and
Yu Lai Pin Chu Pin - - 224634#218 S TaChang - Wei Yang - - 89 - echnology Yong Hsien Ling 886 T Chun iomedical iomedical [email protected] + [email protected]. [email protected] [email protected] B Livestock Research Institute Research Livestock Institu Research Livestock Livestock Research Institute Research Livestock Livestock Research Institute Research Livestock s and accurate traceability information which help which could information s traceability and accurate Council of AgricultureCouncil of AgricultureCouncil Council of AgricultureCouncil Council of AgricultureCouncil raceability T reduce costs, thus creating an accurate and detailed traceability
upplyfor S
minipig, RFIDradio frequency identification
evice, evice, Bluetooth massive information collecting device and other network inipigs M ords:
w on Establishment of -04
system. Moreover, by setting up a biomedical minipig supply website website supply minipig biomedical a up setting by Moreover, system. isto provide able the project XOOPS, expending and (http://minipigs.angrin.tlri.gov.tw/) research units with simultaneou world. the to minipigs biomedical Taiwan’s introduce Key ABSTRACT This article introduces the traceability which system includes RFID for (Radio minipig frequency supply identification) scanning ear d for tags, biomedical 134.2KHz use, portable devices to construct a wifi intranet. The database system is server then of connected the to the Animal improve MS efficiency Genetic SQL and resources Information Network in order to er t os P 52 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 153 -05 er t os P ystems case case basis. - S atabase by D - urvey urvey
S mage I ioning System (GPS), rea rea
A
apability
and C 72
ncil ncil of Agriculture has begun using L and employing cadastral data, the new new the data, cadastral employing and
Hsieh
entan entan pomelos, pears, guavas, tea, plums, Establishing an Yi agging
units for surveys. The system is made available available is made system The surveys. for units 2332380#11 – -
T Tag digital camera, public officials are now able - spectof - 49 -
G A Lien- [email protected] 886 rops Agriculture and Food Agency Food and Agriculture C hoto P Council of Agriculture,Council Executive Yuan ature ature of a G obility Mobility with ensitive S
Personal Personal Digital Assistant (PDA), Global Posit
lanting P for Strengthening the system is equipped with GPS to help survey the planting areas on a case a on areas planting the survey help to GPS with equipped is system ABSTRACT In order the to observations, survey visual on an relied which accurate estimation of system, manual planting the areas over for improvement sensitive an crops provide and to Agriculture and Food Agency (AFA) of the early and forecasts production Cou for a tool to provide PCs) tablet or (PDAs devices mobile by This Feng new developed system was and marketing. to production related warnings technology on GIS Based (FCU). University Chia Geographic Information System (GIS) to take photos during surveys. The photos are uploaded and tagged into the map platform platform map the into tagged and uploaded are photos The surveys. during photos to take surveys. onsite of effectiveness the enhance to Keywords: to various public officials to verify whether any piece of land was used for planting crops crops planting for used was land of piece any whether to verify officials public to various before or after a This disaster. that has reduces misinformation lead to false claims by farmers. With the added fe daylilies, daylilies, and system kumquats. the in The images the agency on has overlaid are maps also These actively authorities. acquired management maps land public from river and public service district river by to used be The The data are then used to areas for 13 planting establish onions, garlic, crops: different oranges, jujubes, peanuts, pineapples, w
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 he
Deer
so so be used to track
Technology in Technology ion, weight information, estrus estrus information, weight ion,
Lin
ei Liang
7795356 ong
Identificaiton - Ren Kang
M 8 H - - - Hua Wang - - @mail.tlri.gov.tw @mail.tlri.gov.tw Management
886 + Hsin Chih Hsiao rkang hhlin Shann [email protected] s [email protected] Livestock Research Institute Research Livestock Farm Council of Agriculture,Council Executive Yuan Kaohsiung Animal Propagation Station Propagation Animal Kaohsiung Kaohsiung Animal Propagation Station Propagation Animal Kaohsiung Kaohsiung Animal Propagation Station Propagation Animal Kaohsiung Frequency , , this ear would data tag’s be read and sent to the a via computer
ng this period can be very dangerous for farmers. The use of
frequency identification Radio -
Livestock Research Institute, Council of Agriculture, Executive Yuan Executive Agriculture, of Council Institute, Research Livestock Livestock Research Institute, Council of Agriculture, Executive Yuan Executive Agriculture, of Council Institute, Research Livestock Livestock Research Institute, Council of Agriculture, Executive Yuan Executive Agriculture, of Council Institute, Research Livestock
his his project was to apply RFID in developing a management system for deer farms. Deer, radio
frequency identification (RFID) tags to record deer information without the need tags without to to (RFID) deer touch record information identification frequency pplication of pplication -06 -
A er mputer system. This RFID technology and the related system for obtaining detailed data about about data detailed obtaining for system related and the technology This RFID system. mputer t Keywords: wireless network. The results showed that even when stags ran very quickly, the ear tag data data tag ear the connected which was developed system of a the management pen. In addition, deer passageway quickly, very to the ran electronic reader so as to stags analyze data relative to general data about which included: the informat deer, when vaccination the established items to be even recorded, that data, delivery data, showed velvet production of the the When ran a through breed the deer deer. data,about and the for farm, information balances information results on the The use of frozen sperm, panel with its electronic ear tag costs network. and wireless could still be read by the electronic co reader in its entirety and immediately delivered the to deer provided the the management information and benefits performanceand efficiency. Furthermore, planningRFID technology and necessary systems tocan in enhance confidence al consumer to products increase of and the processing movements, animal diseases, purchasing deerproducts. During breeding season, maleapproach. Deer deer behavior duri have a radio tendency to become the aggressive animals, and however, difficult protects farmers to purpose and of t improves efficiency in deer Five management. stags The were tagged with RFID ear identification tags, which transceiver were technology. applied The using ultra electronic high panel frequency was set up as a reader in t ABSTRACT os P 54 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 155 -07 er t os P agricultural ndustry can ndustry
bile platform bile platform
making strategies, - and ion ion on ndustry I on the residue limits of via the smartphone platform; platform; smartphone the via ea
T added application anytime and and anytime application added - ries e Yuan
, qu r
lin Liu - Ru Dai Taiwan Agricultural Research Institute Research Agricultural Taiwan lien Lin @ttes.gov.tw - - , 4822059#806 - 20 3 - Jia Mu Tien res6 [email protected] ndustry, smartphone, information 886 [email protected] t t + anagement in the M , and recommendations and informat Tea Research and Extension Station Extension and Research Tea Tea Research and Extension Station Extension and Research Tea Council of Agriculture,Council Executive Council of Agriculture,Council Executive Yuan Council of Agriculture,Council Executive Yuan
obile
for tea M Agricultural Engineering Division Engineering Agricultural ons such as a fertilizer calculato -
Digital chemicals chemicals traceability system,tea i
agricultural chemicals for tea plantations. By a 2010, of total tea for 112 of data plantations. pieces chemicals had been uploaded, indicating that this method for a mobile recording system for tea industry production management is feasible. Keywords:
communicationtechnology ABSTRACT Due to advances in mobile communication technology, managers in the tea i now handle production and marketing management, map out decision and use mobile communications in other areas as a in areas value other communications and mobile use anywhere at their discretion. The present project used smartphones as a mo used smartphones project The present at discretion. their anywhere cultivation as such processes to record tea farmers for system record mobile a to develop processing. and tea planning, harvest control, disease and pest fertilization, management, simply information access to in sign can system the of Users meanwhile, the data on websites can provides be add updated immediately. The helper function
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 of the the of laying laying
- -
Station arameters of
entry frequency of - entry by individual entry by individual P - rsity man geese
containing 60 birds among among birds 60 containing
laying laying as retrieval of geese LRI LRI LRI - - - - entry frequency, and events of of and events frequency, entry pen
-
1.5 1.5 hours was 19% of the total
- roduction roduction
laying area. The area. laying egg current
P
laying geese that occupied the nests the that laying nests geese occupied
-
- eese G gg E
National Chung Hsing Unive Hsing Chung National National Chung Hsing University Hsing Chung National environment breeding prior to breeding environment the egg Jung Lin 8884106#32 - - KwangFan eared Shine Jea Shine laying laying period (12 ganders and 48 geese) were 4 - - Chang Chang - - - R Min- - Yu 886 S + [email protected] [email protected] Yang ouncil of Agriculture, Executive Yuan, were selected selected were Yuan, Executive of Agriculture, ouncil [email protected] Shen onitoring [email protected] loor Departmentof Animal Science M according to sex with each each with sex to according National Chung Hsing University Hsing Chung National F
entry frequency, daily cage - s
pen ChanghuaAnimal PropagationStation, COA ChanghuaAnimal PropagationStation, COA ChanghuaAnimal PropagationStation, COA system system was used to record the of events cage
laying data, and the rest of the sheds were assigned as control group. group. as control assigned of were sheds the rest and the data, laying - each period. The experimental result showed a cage a showed result The experimental period. each Department of Animal Science, Science, Animal of Department Department of Animal Science, Science, Animal of Department Department of Animal Science, National Chung Hsing University Hsing Chung National Science, Animal of Department laying laying event of individual geese through collection of data on geese - laying area. -
Radio Frequency Identification, laying egg, White Ro White egg, laying Identification, Frequency Radio
data was possible. The proportion of of egg proportion The possible. was data White Roman Geese from the Changhua Livestock Propagation Propagation Livestock White from the Roman Changhua Geese
ur. As indicated by the abovementioned results, RFID systems can be utilized to utilized be can systems RFID results, abovementioned the by indicated As ur. lay - to collect egg entry during during entry
- laying 1 ho - - -08 Application of RFID in
ABSTRACT Third Council Council of Livestock Research, C and moved into goose housing for closed were geese) 411 and ganders (121 532 geese of number total a experiment, the In period. 9 into allocated randomly device in 4 RFID of the installed This experiment 48 and 12 which geese. were ganders pens geese. The flocks approaching the cage individual for egg monitored monitor the egg intoentry egg Keywords: In addition, the In addition, RFID 100%, which indicated that that the geese all egg entered which 100%, indicated cage system can be used management egg to monitor recognition egg for a period shorter than 30 minutes or longer than 1 number of geese, and the highest proportion of 35.4% of geese occupied the nests for 0.5 er t os P 56 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 157 -09 er t os P
Domestic
of
field recording of field recording n n n - a a a making. The current -
C ccessible ccessible in real time for Fi, and 3G mobile internet. - recordings and text recordings recordings text and recordings
ecommunication ecommunication technologies. or instant in Device
Production
ion ion decision
on picture
Mobile n Wangn
mail.tlri.gov.tw by Chy 5911211#292 Tsai Chen
- - - Siyum Hsiao Siyum System 6
- 886 Shui + [email protected] [email protected] hsiaosir@ Yeong Tying- TechnicalService Division, TechnicalService Division, Crops
Livestock Management Division, Division, Management Livestock anagement Forage M Livestock Research Institute, Council of Agriculture Executive Yu Executive Agriculture of Council Institute, Research Livestock Livestock Research Institute, Council of Agriculture Executive Yu Executive Agriculture of Council Institute, Research Livestock Livestock Research Institute, Council of Agriculture Executive Yu Executive Agriculture of Council Institute, Research Livestock
domestic forage crops; mobile information; tablet P tablet information; mobile crops; forage domestic
Information
he T ABSTRACT This research captured the production records of forage crops, including fertilization, cultivation, and harvest activities, with tablet PC mobile devices with SystemGlobal Positioning (GPS), Google Map, photography, and 3G tel Photographs Photographs were employed to assist the fieldwork and to record crop conditions for cultivation. The developed systemoffers important that serve as a reference to support system was pasture developed cultivat with Java (the programming language) and the Android operating Wi with Map, Google system GPS, combined photography, In the field, online map data browsing and and geographic various geographic positioning. Additionally, the types vector integrated of program geographical information This and queries. is map from displayed a are information time time, and data of attribute space, photogrammetry, GIS f fieldwork. fieldwork. The data uploaded production. crop to forage domestic the for domestic system mobile forage crop important an into GIS compiled via the tablet PC are Keywords:
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 Guide — formation formation
uses a Web
Travel Beam”
Guide and
—
n international marketing, marketing, n international Creative Common
, ourism depth depth Travel Tourism
- T latform istry P
ravel T based service -
Sen Liu 23317426 Yuh Guo - - - Wen Lin 4 - - epth ntegration D Yu 886 I - [email protected] [email protected] + location [email protected] Tsang
Horng n , I DivisionAgricultural Chemistry of DivisionAgricultural Chem of DivisionAgricultural Chemistry of Taiwan Agricultural Research Institute Research Agricultural Taiwan Taiwan Agricultural Research Institute Research Agricultural Taiwan Taiwan Agricultural Research Institute Research Agricultural Taiwan Marketing gricultureand
A Social media marketing media Social
Leisure -10
technologies attempting to develop a service platform to promote local agriculture leisure leisure agriculture local promote to platform service a develop to attempting technologies tourism. The centerpiece of “Leisure Agriculture and In The Taiwan Agriculture Research Institute (TARI) adopted various updated in updated various adopted (TARI) Institute Research The Agriculture Taiwan ABSTRACT and marketing Integration Platform” (also known as “Taiwan Travel Beam”) Travel as “Taiwan known (also Platform” Integration marketing and 2.0 framework enabling as well as users information knowledge, travel and historical cultural, ecological, agricultural, of all fields to services apply, such participate, as between and linking and trust housing, strengthen and services public of share cuisines, capacities to enhance intends and local agricultural products. “Taiwan society The and government. purpose is to the of accelerate development rural tourism by the strengthe public, participation prevalent attract industry, and substantively enhance the global Platform. such competitiveness a of of effects cluster Taiwan industrial expected agriculture through Keywords: er t os P 58 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 159 -11 er t os P gg E
ystems for S
g Container, Management System, System, Management Container, g
raceability raceability T Hsing University Hsing
Hsing University Hsing - - 22857593 - ChenOu Wen Hsieh Wen - trial MechatronicsEngineering 4 - - ontainers 886 uan Indus IndustrialMechatronics Engineering + - C - Y Kuang of Bio of Bio [email protected]
NationalChung NationalChung ment t ar artment t system (ECCIM). The integration of these pieces of data in the in the data of pieces these of The integration (ECCIM). t system anagement and and Management Dep Dep
. . Additionally, reused egg containers are circulated between human, ase ase prevention at farms; the cleaner egg containers resulting from the
RFID (Radio Frequency Identification), Eg Identification), Frequency (Radio RFID his study, electronic RFID (Radio Frequency Identification) tags suitable for for suitable tags Identification) Frequency (Radio RFID electronic his study, sage in in sage
rculation management system that records farms, transport operators, and U RFID Keywords: TraceabilitySystem In In the egg industry, wholesalers system circulation of egg purchase operators containers. Transport egg centralize containers from produced eggs, creating the different need as eggs fresh boxed for of management and a Traceability farmsenvironments. poultry and livestock, well as the cleaning and sterilization of issues. egg For t containers are important product safety the cleaning and sterilization process management for and egg traceability containers of were the used containers.using to The a flow monitor of ci the egg containers is managed of establishment an egg container management system also help to improve consumer producers. from eggs more purchasing in confidence ABSTRACT grocery stores that have used information the for containers the over egg a managemen information containers period is of also time. recorded The egg in cleaning container only not containers traceability an egg of sterilization and system cleaning egg Consistent queries. (ECTS) internet via container users allows cleaning the system to provide informationenhances dise to
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
or
of of 38 m in length. The main tigation tigation process. The newly Central Taiwan motely monitor the fertigation
elines elines before being dripped in beds beds
ooding irrigation water was about 419 information information communication technology
Culture
Hsing University Hsing
8524204 - - 4 COA Hsi Chen - - Chung Chen - cilitates cilitates Lisianthus growth while saving labor, 886 + industrial MechatronicsEngineering - Ling [email protected] Chia Bio feeding feeding system was both time and energy inefficient in [email protected] NationalChung Protected
a Automatic Fertigation Systemfor Growing solution solution an Department of of Department TaichungDistrict Agriculture ResearchandExtension Station based fertigation based remote fertigation control system to connect the office PC and into into the plant root area. The -
d
times, completely consumed 33 tons of water in the following growth stages. stages. growth following in the water of 33 tons consumed completely times, ICT on on ICT
ICT, automatic fertigation, Lisianthus (Eustoma grandiflorum). (Eustoma Lisianthus fertigation, automatic ICT,
1 Lisianthus in ing sprinkle uses a PC a uses -
)
Us in which were placed in 30 placed drip which were in 10 tubes planting
2 -12 ICT
pipe flow rate is about 83 L/min. The amount of of fl amount The 83 L/min. is about rate flow pipe tons in the 6 first days after After Lisianthus transplanting. that, the system, fertigation operating 1 Keywords: This This emissions. carbon automatic reducing and energy fertigation saving system effectively thus water, and fa fertilizer, The traditional The nutrient traditional ABSTRACT liquefying liquefying and diluting fertilizers with water at each developed fer PLC type fertigation system manipulates that injectors the inject nutrients into the main The outputpipeline irrigation directly. nutrients are volume of five nutrient mixed in the path by the following filter and pip micro PLC type fertigation system via Ethernet. A can re farmer Ethernet. via system PLC fertigation type system and log data from home or at the office. The experimental field area is about 600 600 about ( is area field experimental The office. the at or home from data log and system m er t os P 60 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 161 -13 er t os P
alone database systems used for -
. Appropriate . data are Appropriate selected from
20 Chen
making making when developing strategies, thereby
- Chien
23119100#26 he gate in a competitive situation. In a “knowledge “knowledge a In situation. incompetitive a he gate - 2 - he he data in a series of steps. By allowing the original 886 Chao- + [email protected] Intelligent Application Department, Department, Application Intelligent lmarks lmarks of traditional stand International Integrated Systems, Inc. Systems, Integrated International Agricultural Informations BusinessDivision, mining capabilities, mining allowing to capabilities, organizations rapidly and correctly - but also change the development pattern of the industry as a whole. a as industry the of pattern development the change also but
were developed independently in decentralized locations. In the short
Agricultural Productionand Marketing
rstand management performance and decision support, creating new value in sed economy with information technology at its foundation. its at technology information with economy sed
Business intelligence, marketing information, agricultural information technology, technology, information agricultural information, marketing intelligence, Business ba based economy, data warehouse data economy, based
- - ll agricultural environment, information that is scattered, overlapping, incomplete, or or incomplete, overlapping, is scattered, that information environment, agricultural ll Business Intelligence as Appliedto Information Analysis of distributed distributed environment. Many important databases with online production - ABSTRACT According to a survey, 75% of senior complete executives are reference information often for unable decision to obtain timely and in increases huge After pace. tremendous a at advancing is technology information economy,” data storage capacity and bottlenecks, which are the operating hal speed, information overlaps and communication missing the opportunity to be the first out t first the to be opportunity the missing performance analysis and statistics, can now be overcome with the use of integrated warehousingdata with data unde and analyze the process. Therefore, developments applications not in only modern advantage promote information competitive the technology and formation of online new knowledge value and increase Agriculture Agriculture is different than industrial multi and commercial enterprises in that it features a run, run, in However, they needs. business are of urgency and easy information of to nature the on depending maintain necessary and use, and can be further an overa developed and expanded if management management systems lacking in can coverage sufficient make flow and information the of applications integration difficult. more much Data mining is designed with user requirements in mind various databases and put together to form a data warehouse. involves putting The the data acquired data selection through process a conversion interface that processes, converts, data process, mines, interprets, and warehousing data evaluates the t through presented and integrated properly be to data fragmented an agricultural creating information, useful into be can of data converted pieces broken these knowledge Keywords: knowledge
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012
ovation ovation capacity lstrategies.
of of the first quarter of
knowledge database knowledge
, ector
Managementat the
S
e e an “Agriculture Knowledge
formation Technology to integrate, to Technology integrate, formation
WU Pan
Hu
Cheng
Lin
nowledge
griculture Zong K Tsair Row - A - - Productivity International BU International Productivity BU International Productivity Chia
25867890#192 ’ ’ - - Jane 2 - Rei organizational knowledge [email protected] Gour Hong , 886 c [email protected] Jung + [email protected]
ublic [email protected] F [email protected] P J Galaxy Software Services Corp. Services Software Galaxy Galaxy Software Services Corp. Services Software Galaxy
Council of Agriculture Executive Yuan Executive Agriculture of Council Yuan Executive Agriculture of Council KnowledgeWorkers KnowledgeWorkers Taiwan pplication of IT A
: knowledge management knowledge :
Innovative -14
Management Management Network System” (AKMNS), with the purpose to and to management, assist and accumulate invest in organizational of the individual heritage knowledge and the Through the organization. analysis of usage logs, at the end 2012, cycle, there wereinnovation and already reusing more sharing, than ninetyorganizing, thousandcollecting, the knowledge Through documentsAKMNS. the in accumulated the AKMNS helps the Council of through ways Agriculture such (COA) as the improve increase inn in collaboration of training period; the experts system's collection of knowledge and management and data behavioral motivationa and the improvement shortening of of designing the in utilized be also could Appreciating Appreciating that knowledge is the understands Sector The since 2002. Agricultural economy the knowledge promoting power, the Taiwan government and value importance of investing in and In has utilizing been results research abundant actively D R & sector's the from knowledge upon build and accumulate in order to stimulate new and ongoing research. Since 2003, steady efforts have been made to digitize the agriculture database to creat ABSTRACT Keywords er t os P 62 1 SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 163
-15 er t the os P
grape, grape, peach and
, , for prompt information
cts and weeds loaded in NPMS. If
time occurrence of CDP and utilize the
-
Division Division Division Division ation
http://npms.rda.go.kr
2374 Division - asting and identification of CDP in NPMS would be nt Administration nt
Yeon Lee to CDP. Farmers and extension workers can easily and 299 - - , [email protected] Hwan Lee SeopShim - 31 Jeong Im Woong Byeon - - 707, Republic of Korea of Republic 707, - - Ui farmers. However, CDP may infest the fields because it takes +82 guides [email protected]
[email protected] Yong [email protected] Keun- Crop & Animal Animal & Crop Byeong Young Rural Development Administration Development Rural Rural Development Administration Development Rural Rural Developme Rural Rural Development Administr Development Rural Rural Development Administration Development Rural Suwon,441 [email protected] Knowledge & Information Officer Officer Information & Knowledge Knowledge & Information Officer Officer Information & Knowledge Knowledge & Information Officer Officer Information & Knowledge Knowledge & Information Officer Officer Information & Knowledge illustrated , , pear, citrus and hot pepper were built in NPMS and users are able to check the sers of NPMS can continuously monitor the real U Crop Diseaseand Insect Pest in Republic of Korea
Monitoring, Predictingand Control Decision Making of nce data and to search T Crop disease and insect pests, Monitoring, Forecasting, Web GIS Web Forecasting, Monitoring, pests, insect and disease Crop
ords: w Establishmentof National Pests Management System(NPMS) for promptly obtain the information on occurrence and forecasting of CDP in crops by installing and logging of and in CDP logging in crops and by forecasting installing on occurrence the obtain information promptly NPMS PC widget. The function for the monitoring, forec foundation of early control of CDP and future.this will contribute to reduce cost of chemical control in the near Key ABSTRAC Rural Development (RDA) Administration have Rural been Development seasonal collecting dataoccurrence of crop disease and insect pests (CDP) from all local supplies the agricultural information of extension the risk centres of CDP under to Provincial governments and then several days from collecting data of CDP occurrence to notifying risk of them. Given this, RDA established RDA of this, risk Given established them. to notifying data of CDP occurrence days collecting from several National Pest Management System (NPMS) that is website, supply supply with sequential data of CDP occurrence after survey of local agricultural bean,extension barley, sesame, hot pepper, garlic, workers onion, radish, cabbage, Chinese in apple, pear, citrus, rice, sweet sweet persimmon. monitoring information for control. In addition, thirty forecasting modelsleaf of CDP blast,occurrence, including rice in rice, apple farmers could not ascertain CDP species by themselves, they can ask identification of the CDP to taxonomists in who registered NPMS. for We two smart developed phone applications and to tablet computer input the CDP occurre potential potential degree of CDP risk in local web GIS (Geographic Information System). Farmers can also identify the CDP by themselves with illustrated guides to plant pathogens, inse
SEP. 05 WEDSDAY, 2012 SEP. 05 WEDSDAY, 2012 data for
Cotton Cotton covers
. otton primary C applied in China. In
insecticides
water water pollution, soil salinity and
all on in the field and to calculate
country in country the world North North China Plain entails serious ssessment of
22934
Province provides the the provides Province -
A % of
459 - hohenheim.de 40 - n Dai -
hohenheim.de hohenheim.de - - 30 (0)711 - NanHa Enno Bahrs Huawe uses Haifeng Xiao ne of raw cott raw of ne
conomic conomic E [email protected] er er and consumer University of Hohenheim of University University of Hohenheim of University Hohenheim of University ton bahrs@uni
70593Stuttgart, Germany
nan_ha@uni China Agriculture University Agriculture China Tel: ++49 Tel: Huawen_dai@uni
in in the North China Plain College of Economics and Management and Economics of College area while Farm Management, Department of Farm Management (410b) Management Farm of Department Management, Farm Institute for Institute for Farm Management, Department of Farm Management (410b) Management Farm of Department Management, Farm for Institute (410b) Management Farm of Department Management, Farm for Institute
Cotton, Carbon footprint, life cycle cost cycle life footprint, Carbon Cotton, . The objectives of this study are to determine environmental and economical economical and environmental to determine are this study of The objectives . cultivated land Environmental and and Environmental total total
% of -16
Keywords: analysis. The result inputs. indicatesenvironmental and economic that labor and chemical fertilizer are biggest shares in environmental and caused impacts by economical environmental one tonne Carbon cotton production. at aiming survey A study. this in methodology as adopted are cost cycle life and footprint Hebei southern in households farm cotton seventy input input required to produce one cotton as the largest sown cash crop in the in crop cash sown largest the as the North China Plain, the yield of cotton stays the in steady demand from a domestic In and textile industries. high international the meantime, level in the last decade due to cotton environmental issues like greenhouse gas emission, degradation
3
ABSTRACT China is the produc largest cotton er t os P 64 1 SEP. 05 WEDSDAY, 2012