PERFORMANCE / IMPACT REPORT OF BANSUR CLUSTER
RAJASTHAN AGRICULTURAL COMPETITIVENESS PROJECT (RACP) PERFORMANCE / IMPACT REPORT OF BANSUR CLUSTER
Theme: Watershed, Block- Bansur, District – Alwar
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Contents 1. BREIF DESCRIPTION OF CLUSTER: ...... 6 1.1 Cluster Profile (Location, Area, Climatic condition etc.) ...... 6 1.2 Land Use land Cover of the Cluster area – ...... 11 1.3 Soil fertility level of the Project Area ...... 11 1.4 Current status of connectivity - ...... 12 1.5 Demographic details, villages covered, Area covered etc ...... 12 1.6 Socio-Economic Conditions ...... 13 1.7 Agriculture-related livelihood characteristics - ...... 14 1.8 Topography – slope ...... 14 1.9 Cropping Pattern (Area), Production and Productivity ...... 14 A. Agriculture Crops (Major) - ...... 15 B. Horticulture Crops - ...... 17 1.10 Livestock status ...... 18 1.11 Watershed Development ...... 18 1.12 Water Recourses and its Scenario ...... 21 2. CONSTRAINTS AND CHALLENGES (RATIONALE OF SELECTION OF THE CLUSTER) .. 21 3. INTERVENTIONS IMPLEMENTED: ...... 23 3.1 Agriculture Sub Component ...... 23 3.2 Horticulture Sub Component ...... 28 3.3 Livestock (Small Ruminant) Sub Component ...... 32 3.4 Market and value chains ...... 37 3.5 Watershed Sub Component ...... 38 4. ACCOMPLISHMENTS ...... 52 4.1 AGRICULTURE COMPONENT ...... 52 4.2 HORTICULTURE COMPONENT ...... 54 4.3 SMALL RUMINANT COMPONENT ...... 55 4.4 WATERSHED DEVELOPMENT COMPONENT ...... 57 5. SOCIAL INCLUSION (Component & Activity wise) ...... 60 5.1 Agriculture ...... 60 5.2 Horticulture ...... 62 5.3 Livestock (Small Ruminant) ...... 63 5.4 Watershed Development ...... 64 6. IMPACT OF CBOs ON CLUSTER COMMUNITY ...... 64
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7. WOMEN EMPOWERMENT: - ...... 66 8. ENVIRONMENT MANAGEMENT ...... 68 9. CHALLENGES AND DEVELOPMENTS ...... 70 10. OUTCOME AND INDICATOR RESULTS TO DATE ...... 71 11. VALUE CHAIN CROP: -...... 78 12. OTHER INDICATOR: - ...... 82 13. ADDITIONAL STUDY OF BANSUR PROJECT AREA USING SATELLITE REMOTE SENSING ...... 83 14. SUCCESS STORIES ...... 115 15. UPCOMING ACTIVITIES DURING PROEJCT PERIOD ...... 115 16. CONCLUSION AND OVERALL REMARKS ...... 116 16.1 Agriculture component:- ...... 116 16.2 Horticulture component:- ...... 116 16.3 Animal Husbandry:- ...... 116 16.4 Watershed development:- ...... 117 16.5 Social inclusion ...... 117 16.6 Overall the RACP program ...... 118
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Table -
Table 1.Gram Panchayat and Village wise area in Bansur Cluster ...... 7 Table 2 - Micro Watershed-wise Area of Bansur Cluster ...... 8 Table 3 - Micro Watershed-wise Area of Bansur Cluster ...... 11 Table 4 - Land Use Land Cover of the Bansur Cluster ...... 11 Table 5 - The Soil fertility level of the Project Area ...... 11 Table 6 - Population Details ...... 12 Table 7 - Household Details ...... 13 Table 8 – Development indicator of the Project area ...... 13 Table 9 – Soil Profile of the Project area ...... 14 Table 10 – The cropped Area (ha), Production (MT) and Productivity (Kg/ha) of 10 years from 2006-07 to 2015-16 in Bansur Cluster ...... 16 Table 11 – Category wise Cultivated Area in Bansur Cluster ...... 16 Table 12 – Area under horticultural crops in Bansur cluster in year 2016-17 ...... 18 Table 13 – Livestock profile of the cluster (as per livestock census 2012): ...... 18 Table 14 – Villages & GPs of the cluster ...... 18 Table 15 – Micro Watershed-wise Area for water budgeting purpose of the cluster ...... 19 Table 16 – Calculation of Runoff (Expected Yield) based on the “Strange-Table ...... 20 Table 17 – Estimation of water-storage in existing water harvesting structures situated in Project Area . 20 Table 18 – Consolidated Investment Plan ...... 22 Table 19 – Cumulative Achievement till 31.01.2020 under the Agriculture Subcomponent ...... 24 Table 20 – Cumulative Achievement till 31.01.2020 under the Horticulture Subcomponent ...... 29 Table 21 – Cumulative Achievement till 31.01.2020 under the Small Ruminant Subcomponent ...... 33 Table 22 – Cumulative Achievement till 31.01.2020 under the Market & Value Chain ...... 37 Table 23 – Population Details in Catchment (Watershed Area) ...... 39 Table 24 – Household Details in Catchment (Watershed Area) ...... 40 Table 25 – Proposed Activities in the watershed cluster ...... 41 Table 26 – Cumulative Achievement till 31.01.2020 under the Watershed Subcomponent ...... 42 Table 27 – Details of activities carried out under Watershed Sub component ...... 45 Table 28 –Estimate the Total Percentage (%) of Work Completed under major activities on the Project 52 Table 29 –Estimation on total percentage (%) of work completed under the major activities of the project - ...... 54 Table 30 –Estimation on total percentage (%) of work completed under the major activities of the project - ...... 55 Table 31 –Estimation on total percentage (%) of work completed under the major activities of the project - ...... 57 Table 32 –Activity wise social inclusion under Agriculture Component - ...... 60 Table 33 –Activity wise social inclusion under Horticulture Component - ...... 62 Table 34 –Activity wise social inclusion under Small Ruminant Component - ...... 63 Table 35 –Activity wise social inclusion under Watershed Development Component - ...... 64 Table 36 –Details of CBOs in Bansur Cluster - ...... 66 Table 37 –Environment Management in Bansur Cluster - ...... 68 Table 38 –Challenges and corrective measures in Bansur Cluster - ...... 70 Table 39 –Outcome Indicator based on FGD/HH Survey and Success Stories in Bansur Cluster .. 71
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Table 40 –Comparative Analysis of Project Indicators as per FGDs, Meeting Minutes, KPIs and Success Story in Bansur Cluster ...... 73 Table 41 –Productivity, per unit production and Income analysis for Bajara Crop in Bansur Cluster ...... 78 Table 42 –Productivity, per unit production and Income analysis for Barley Crop in Bansur Cluster ...... 79 Table 42 –Productivity, per unit production and Income analysis for Mustard Crop in Bansur Cluster ...... 80
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1. BREIF DESCRIPTION OF CLUSTER:
1.1 Cluster Profile (Location, Area, Climatic condition etc.) Bansur watershed cluster is located in Bansur Block of Alwar district of Rajasthan State. The 0 0 0 0 project area is located between the latitudes 27.55 N to 27.78 N and longitudes 76.28 E 76.33 E. It is located in the National Capital Region about 155 km from Jaipur and around 150 km from Gurgaon.
The Bansur (Alwar) cluster in Eastern Rajasthan has been selected as one of the watershed project clusters as most of the area is rainfed. The Bansur index catchment (watershed) cluster of RACP is located in Bansur Block of Alwar district, which is about 70 Kms from the district headquarter. Bansur is a small tehsil headquarter of Alwar district located about 15 Km from Kotputli town on Jaipur-Delhi National Highway. The cluster comprises of 18 Gram Panchayats having 36 villages. The total area of the cluster is 12935 ha.
The location map of cluster area are shown in below figure -
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Figure 1 - location map of cluster area
Table 1.Gram Panchayat and Village wise area in Bansur Cluster S. Name of Gram S. No. Name of Villages Area under Total area of No. Panchayat Covered project (In Ha.) GP (In Ha.) 1 Chaterpura 1 Prathvi Pura 78.39 708.56 2 Chaterpura 630.17 Girudi 3 Indrda 495.72 495.72 3 Gyanpura 4 Burja 313.32 577.89 5 Gyanpura 170.09
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S. Name of Gram S. No. Name of Villages Area under Total area of No. Panchayat Covered project (In Ha.) GP (In Ha.) 6 Pali Main 94.48 4 Holawas 7 Basna 245.96 364.74 8 Bilat 102.75 9 Holawas 16.03 5 Khoheri 10 Khoheri 1502.82 1502.82 6 Neemuchana 11 Neemuchana Main 1296.15 1296.15 7 Shyampura 12 Nawalpura 265.19 991.59 13 Shyampura 726.40 8 Alampur 14 Kharkhara 553.01 1102.99 15 Kakanria 20.71 16 Alampur 529.27 9 Rasnali 17 Rasnali 524.62 1056.78 18 Milakpur 120.09 19 Khiwaheri 412.07 10 Lekri 20 Bisalu 167.36 167.36 21 Buteri 113.05 11 Buteri 618.48 22 Kothal 505.43 23 Nangal Bhaw Singh 178.52 24 Bhuri Dungri 66.78 12 Loyati 910.28 25 Sathalpur 416.98 26 Loyati 248 27 Basdayal 303.56 13 Basdayal 660.41 28 Baskarnawat 356.85 29 Machi 424.81 14 Gunta 689.39 30 Meerapur 264.58 15 Gadi 31 Gadi 729 729 32 Mahanpur 857.10 16 Mahanpur 940.66 33 Uchpur 83.56 34 Babera 20.01 17 Babera 42.08 35 Keherpura 22.07 18 Bansur 36 Bad Dundla 79.50 79.5 36 TOTAL 12935 12935 (Source: Watershed DPR of Bansur Cluster) As far as concern with climatic condition, Bansur cluster falls under IIIrd B Agro-climatic Zone (Flood Prone Eastern Plain). The soil of the Project Area is shallow to moderately deep, dominantly sandy loam, dark yellowish brown in colour, imperfectly drained, and moderately to severely erode. Topography of the Project Area is almost plain and majority of the area falls in the slope up to three per cent. The cluster consists of 3 macro watersheds and 19 micro watersheds. Table 2 - Micro Watershed-wise Area of Bansur Cluster S. No. Macro No. Micro No. Name of Village Micro Watershed area (in ha) 1 6 4 Mahanpur, Machi 537 2 6 5 Mahanpur, Machi, Meerapur 365 3 6 6 Mahanpur 505 4 6 7 Mahanpur, Loyati 210
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S. No. Macro No. Micro No. Name of Village Micro Watershed area (in ha) 5 6 8 Loyati, Mahanpur, NangalBhaw Singh, 992 Keherpura, Babera,BhuriDungri, Kothal,Buteri,Kankaria, 6 6 9 Loyati, Mahanpur, Shyampura, Uchpur, Bad 885 Dhundla, Kothal, Sathalpur 7 6 10 Mahanpur 92 8 7 1 Alampur, Kharkhra, Shyampura, Rasnali 912 Main 9 7 2 Bas Dayal, Kharkhra, Khoheri, Rasnali Main, 1325 Khiwaheri, Bas Karnawat Main, Milakpur
10 7 3 Bas Dayal, Khoheri, Bas Karnawat Main, 980 Neemuchana Main 11 7 4 Burja, Khoheri, Chaterpura, Neemuchana 1250 Main, 12 7 5 Burja, Pali main, Neemuchana 490 13 7 6 Burja Main, Gyanpura, Chaterpura 470 14 8 1 Alampur, Nawalpura, Shyampura, Rasnali, 872 Milakpur 15 8 2 Nawalpura, Shyampura 155 16 8 3 Khoheri, Nawalpura, Indrada, Milakpur 345 17 8 4 Khoheri, Prathvipura, Indrada, Holawas, 1750 Chterpura, Gadi 18 8 6 Basna, Bisalu 115 19 8 7 Basna, Bilat, Bisalu 685
Total 3 19 12935
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The Bansur block of Alwar district lies on 364m above sea level. The prevailing climate in Bansur is known as a local steppe climate. There is not much rainfall in Bansur all year long. This climate is considered to be BSh according to the Köppen-Geiger climate classification. The average temperature in Bansur is 24.9 °C | 76.8 °F. About 632 mm | 24.9 inch of precipitation falls
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PERFORMANCE / IMPACT REPORT OF BANSUR CLUSTER annually. The climate of Bansur cluster is semi-arid, winters are chilly with fog enveloping the whole area. Summers are characterized by high temperatures (Between 400 - 470) and rainfall is scanty with an average annual rainfall of 635 mm. The temperature during the summer (from April to July) reaches to as high as 46ºC. Hot wind commonly known as “Loo” blows in the months of May-June. On the other hand, winters have sunny and pleasant days and bitterly cold nights. Table 3 - Micro Watershed-wise Area of Bansur Cluster Year Average Annual Rainfall (mm) 2006 445 2007 609 2008 772 2009 266 2010 746 2011 694 2012 753 2013 718 2014 686 2015 666 2016 683 2017 460 2018 552 Total 8050 Average 619.2
1.2 Land Use land Cover of the Cluster area – Total cultivable area (CA) of the cluster is 12935 ha. Out of this 10000 ha area is Irrigated area (ICA) and 2935 ha are none irrigated. Land use pattern of Bansur cluster are shown in below Table. Table 4 - Land Use Land Cover of the Bansur Cluster Pre-Treatment Post-Treatment Change (Post Project-Pre Land use / cover class Area in Pre-Project Area in Post- Project) Area (Ha) (Ha) Project (Ha) Built Up 169.72 171.30 1.58 Crop Land 9141.51 10030.82 889.31 Current Fallow 653.17 79.12 -574.05 Waste Lands / Scrub Lands 2385.11 2066.27 -318.84 Water bodies 0.14 2.14 2.00 Total 12935 12935
1.3 Soil fertility level of the Project Area The Soil fertility level of the Project Area is given as under: Below table reveals that the soil of the project area is good and status of the fertility of the area is also good Even then soil testing is based application of nutrients need to be promoted in the area to maintain soil fertility fairly for achieving desired crop productivity. Table 5 - The Soil fertility level of the Project Area
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Soil fertility Status Kg/ha Recommended N 0.32 0.62 – 0.91 P 29.50 23.00 – 55.00 K 350.00 141.00 - 334.00 Micronutrients PPM Recommended Zn 2.4 ppm 0.5 ppm Fe 3.44 ppm 4.5 ppm Cu 1.64 ppm 0.20 ppm
1.4 Current status of connectivity - Currently there is unorganized market in the cluster and farmers sell their produce in the local markets. The production of pearl millet and other crops is sold through unorganized local market and Mandi of Kotputli, Khairtal and Alwar. The produce of pearl millet crop is also being used as cattle feed, hence looking to the considerable livestock population of Alwar district, there is a significant scope of value addition in this crop. The Kotputli Mandi is located on highway No. 78 i.e. Jaipur Delhi highway which is only 20-30 km from the cluster whereas Alwar Mandi is 45 km from the cluster.
1.5 Demographic details, villages covered, Area covered etc The Bansur cluster comprises watershed as most of the area is rainfed. There is no such perennial surface water source in the cluster, only the Sahibi River is the major water stream. Rainwater is the main source of water which requires for crop production in Kharif season. Rainwater is also the main source of ground water recharge in the cluster. In Bansur cluster the main source of irrigation is ground water which is mainly used in Rabi season. The Bansur cluster comprises eighteen (18) Gram Panchayats having thirty-six (36) villages. The villages falling in the Project Area are characterized by low and undependable rain, ground water is only source of irrigation, poor infrastructure development, low literacy and high incidence of migration during times of drought. It is also seen that poor infrastructure development, low literacy and high incidence of migration during times of drought. Project Area covers an area of 12935 hectare (ha) comprising eighteen (18) Gram Panchayats and sixty- one (36) villages. The Cluster village has a population of 50168 of which 26372 are males while23796arefemaleasperfieldsurveybyNGOs.In the cluster schedule caste (SC) population is 14.75 % and 3.94% is schedule tribe (ST) population. Similarly, Small farmers are 43.09% followed by marginal, landless, large and BPL farmers as indicated in the following table. During the implementation of the project activities the involvements of the household who are from lower backward and other weaker classes have to be ensured. Table 6 - Population Details Male Female Total SC ST 26372 23796 50168 7401 1979 52.57% 47.43% 100 14.75% 3.94%
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(Source: Watershed Deptt & consultation with support agencies) Table 7 - Household Details BPL Land Small Marginal Large Total SC ST househ Less Farmer Farmer Farmer household household household old 1198 1711 3570 2004 1000 8285 1242 174 10.10% 20.65% 43.09% 24.19% 12.07% 100 14.99% 2.10% (Source: Watershed Deptt. & consultation with support agencies) Above table reveals that most of the farmers are either small, BPL or marginal farmers. Large farmers are 12.07%. It means nearly 88% farmers require support for upliftment. The farmer category belongs to Small to Marginal farmers. The BPL farmers are 10.10%, Landless 20.65% and 14.99% are SC farmers. The total population of the cluster is 50168. Out of the total population female population is 47% and Schedule Caste (SC) population is 15 % and 4% is of Schedule Tribe (ST) category. Similarly, 88% are small, marginal, landless, and BPL category farmers. As per the watershed Department DPR of Bansur block, the project area has 8285 households, population of 50168 of which 26372 are males and 23796 are females. The sex-ratio of Bansur cluster area is around 902 compared to 928 which is average of Rajasthan state. The literacy rate of Bansur cluster is 53%. The total area of Bansur cluster is 129.35 sq.km with population density of 387 per sq.km.
1.6 Socio-Economic Conditions There is unorganized market in the cluster and farmers sell their produce in the local markets. The production of pearl millet and other crops is sold through unorganized local market and Mandi of Kotputli, Khairtal and Alwar. The produce of pearl millet crop is also being used as cattle feed, hence looking to the considerable livestock population of Alwar district, there is a significant scope of value addition in this crop. The poor source of irrigation, poor for infrastructure development, low literacy levels and high level of migration are predominantly observed during times of drought. In the cluster, the development indicator of the project area in comparison to the Rajasthan state is as under Table 8 – Development indicator of the Project area S. No. Development Indicators Rajasthan State Project Area (2015-16) 1 Per capita income (Rs.) 3500 3050 2 Poverty ratio 70% 81% 3 Literacy (%) 56% 53% 4 Sex Ratio 1000:926 1000:902 5 Infant mortality rate 6.50% 6.50% 6 Maternal mortality ratio 4.50% 4.50% (Source: Watershed DPR of Bansur Cluster) The above table indicates average socio economic conditions of the cluster. However, per capita income of the project area is less than the state average of Rs. 3500. Although the poverty ratio and sex ratio are more than the state average, literacy levels are less than the state average. The infant mortality rate and maternal mortality ration is at par with the state average in the Bansur
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PERFORMANCE / IMPACT REPORT OF BANSUR CLUSTER cluster. All these parameter needs to be positively enhanced in the project area for accomplishing all round development to the occurred after the project implementation.
1.7 Agriculture-related livelihood characteristics - Agriculture is the chief contributor towards the economy of the district. Alwar occupies an important place in the agricultural production of Rajasthan state. It falls in Agro-climatic zone IIIA i.e. Flood Prone Eastern Plan. It is located in National Capital Region about 155 km from Jaipur. The total geographical area of the district is 7, 83,281 hectares which is about 2.29 per cent of the state. Out of this, the net area sown is 502413 ha. At the same time the total cropped area is 866860 ha with irrigated area as 456592 ha and the rainfed area as 45821 ha, so the cropping intensity of the district is 173%.
1.8 Topography – slope The project area lies in the north-easterly part of Aravalli range and presents an excellent arch type of folded mountain belt. The project area has almost plain topography and majority of the area falls in the slope up to three per cent. The elevation is from 0-65 meters and slope range from 0-10%. The major water stream is the Sahibi River. The soil of the Project Area is shallow to moderately deep, dominantly sandy loam, dark yellowish brown in colour, imperfectly drained, and moderately to severely erode soil types. The soil of the Project Area is shallow to moderately deep, dominantly sandy loam, dark yellowish brown in colour, imperfectly drained, and moderately to severely erode. Topography of the Project Area is almost plain and majority of the area falls in the slope up to three per cent. The soil profile of the project area is being summarized as under:
Table 9 – Soil Profile of the Project area S. No. Major Soil Classes Area in hectares 1 Sandy loam 12935.00 Total 12935.00 Soil Depth : B Depth (cm) Area in hectares 1 0.00 to 7.50 1163.14 2 7.50 to 45.00 7184.76 3 > 45.00 4587.10 Total 12935.00 (Source: Agriculture Dept., Bansur)
1.9 Cropping Pattern (Area), Production and Productivity The area is predominantly rich in agriculture and livestock rearing. The average rainfall of this cluster area is approximately 635 mm in. The project area covers 12935 ha of land. Total cultivable command area of the cluster is 10913 ha. Bajara, Gwar etc. in Kharif and other crops are sown in about 7608 hectares in the Kharif season in project area. In the Rabi season Mustard, Wheat, Barley etc. crops are cultivated in about 6428 ha in watershed area. SRR in almost all the crops is near to the district average but there is still scope to increase for enhancement of the productivity of above crops. The above crops are sown in the cluster are also the dominant crops in the district. So, surplus production of major crops is generally available in thearea.
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The production in the Kharif season, Pearl Millet (Bajra), Maize, Sorghum (Jowar), Kharif pulses, Pigeon Pea (Arhar), Sesamum (Til), Cotton, Cluster Bean (Guar) etc. are sown while in the Rabi season Wheat, Barley, Gram, Mustard, Rabi pulses etc. are cultivated. The major crop of Kharif season is Pearl Millet (Bajra) and of Rabi Season is Mustard and wheat. Irrigation is provided in Kharif during the dry spells wherever irrigation facilities are available other crops is being sold through unorganized local market and in APMCs of Alwar, Khairtal, Kherli, and Kotputli. Apart from human consumption most of the produce of Maize, Bajara, Wheat including other similar crops is being used as cattle feed, hence looking to the considerable livestock population of Alwar district, there is a considerable scope of value addition in these crops. Apart from this, the area being sown under less paying crops would be diversified into cultivation of high pay off crops i.e. horticultural crops in future. Under horticultural crops the area is very low in comparison to agricultural crops. Nevertheless, because of its proximity to NCR the area under horticultural crops i.e. fruits, vegetable and flower crops is increasing also due to the efforts made by the concerned department. The area under horticultural crops in Bansur cluster is not significant however, vegetables: Chilly, Tomato, and Carrot and fruits: Pomegranate, lemon and Papaya as well as flower crop: Marigold are the major horticulture crops has been reported in some areas during past few years. The areas under vegetables, fruits & floriculture crops are very low at about 3.37% of total agriculture land. However, there is considerable scope to increase area under these crops i.e. (vegetables: Chilly, Tomato, and Carrot and fruits: Pomegranate, lemon and Papaya as well as flower crop: Marigold) and diversification from food grain crops to horticultural crops to upgrade the economic level of farmers of the area. In Bansur cluster large no of households have dairy animals (cattle & buffalo), the dairy cooperative network is well developed. There is also large scope of value addition as Milk Cake (local sweet) is famous worldwide and large no of local Sweet Shops are procuring milk for the purpose. As dairy is deemed to be quite successful business in the cluster, cultivation of fodder crops has an important role in the cropping pattern to the local farmers. Similarly, the Goats are also reared by substantial no of house hold and these house hold are primarily small holders with limited resource. Alwar being the part of National Capital Territory and access to Delhi market have huge scope for goat farming for meat and milk esp. value added products like cheese etc. Therefore, it can be concluded that the availability of fertile land and good quality water along with the proximity to Jaipur, Delhi NCR and Alwar provides enough opportunity for the development of value chain crops and cultivation of vegetables and fruits, as well as scope of value chain in goat meat and milk production. The cluster is also near to large processing factories of Soybean, has a large network of warehouses and cold storages and has easy approach through Jaipur Kota highway. Therefore, Bansur is the appropriate cluster to be developed under RACP.
A. Agriculture Crops (Major) - A number of crops grown in cluster area. In the Kharif season, Pearl Millet (Bajra), Maize, Sorghum (Jowar), Kharif pulses, Pigeon Pea (Arhar), Sesamum (Til), Cotton, Cluster Bean (Guar)
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PERFORMANCE / IMPACT REPORT OF BANSUR CLUSTER etc. are sown while In the Rabi season Wheat, Barley, Gram, Mustard, Rabi pulses etc. are cultivated. The major crop of Kharif season is Pearl Millet (Bajra) and of Rabi Season is Mustard and wheat. Irrigation is provided in kharif during the dry spells wherever irrigation facilities are available. Table 10 – The cropped Area (ha), Production (MT) and Productivity (Kg/ha) of 10 years from 2006-07 to 2015-16 in Bansur Cluster Avg. Cro 2006- 2007- 2008- 2009- 2010- 2011- 2012- 2013- 2014- 2015- # Items 2006- ps 07 08 09 10 11 12 13 14 15 16 15 A Kharif 1 Area 6158 6227 6364 6432 6843 6569 6706 6699 6747 6843 6559 Productio 11405 11535 11794 11924 12053 12183 12313 12961 12760 13626 12255 n 7 3 5 2 8 4 0 0 7 4 8 Pearl Pearl Millet Millet Productiv 1910 1901 1887 1856 1789 1890 1870 1960 1786 1981 1883 ity 2 Area 646 653 660 675 682 689 696 813 861 718 709 Productio 5849 5915 6048 13433 6115 6181 6314 6647 7525 7019 7105 n Guar Guar Productiv 933 921 944 950 923 945 917 842 864 964 920 ity B Rabi 1 Area 2657 2687 2746 2775 2805 2834 2864 2840 2915 2953 2808 Productio 3547 3588 36686 37090 37493 37896 38299 40315 39682 42377 38119 n 7 0 Productiv Mustard 1375 1347 1324 1316 1325 1324 1377 1436 1345 1418 1359 ity 2 Area 2805 2836 2899 2930 3117 2992 3023 3065 3102 3117 2989 Productio 1050 1062 10860 10979 11098 11337 11457 11934 10851 12372 11201 n 22 16 2 6 9 6 0 3 4 6 5
Wheat Productiv 3757 3755 3757 3755 3731 3771 3796 3876 3492 3998 3769 ity 3 Area 336 340 348 351 355 359 363 448 411 374 369 Productio 1284 1299 13287 13579 13725 13871 14017 14601 13006 13331 13526 n 9 5
Barley Barley Productiv 3788 3764 3755 3853 3853 3853 3854 3213 3167 3583 3668 ity (Source: Agriculture Department, Bansur) In the cluster, it is highly evident that Bajra is predominant crop in Kharif season. Guar is also cultivated in the cluster but the area under cultivation has drastically declined last year. Wheat and Mustard are the major crops of Rabi season with a trend of growth in area. Barley is also an emerging crop which has shown a surge in 2013-14 but has declined in last 2 years. This is primarily due to emergence of a high number of large processors of Barley in the district Alwar. Table 11 – Category wise Cultivated Area in Bansur Cluster S. Category of Total Cultivated Area (ha) Category wise Cultivated Area (ha) No. Farmer Households Irrigated Un- Total General SC ST OBC Total irrigated 1 Large 1000 2455 363.28 2818.28 214.21 56.36 33.81 2513.9 2818.28 farmer 2 Small 3570 3737.18 1627.56 5364.74 297.68 218.3 127.34 4721.42 5364.74 farmer 3 Marginal 2004 22.82 919.16 941.98 56.57 161.77 125.49 598.15 941.98 farmer 4 Landless 1711 0 0 0 0 0 0 0 0 person 5 No. of BPL 1198 4 132.24 136.24 0 68 68.24 0 136.24 households Total 8285 6215 2910 9125 568.46 436.43 286.64 7833.47 9125 PAGE 16 OF 118 ARPAN SEVA SANSTHAN
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S. Category of Total Cultivated Area (ha) Category wise Cultivated Area (ha) No. Farmer Households Irrigated Un- Total General SC ST OBC Total irrigated (1 to 4) 1 Large 12.07% 26.90% 3.98% 30.89% 2.35% 0.62% 0.37% 27.55% 30.89% farmer 2 Small 43.09% 40.96% 17.84% 58.79% 3.26% 2.39% 1.40% 51.74% 58.79% farmer 3 Marginal 24.19% 0.25% 10.07% 10.32% 0.62% 1.77% 1.38% 6.56% 10.32% farmer Landless 4 20.65% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% person No. of BPL 5 10.10% 0.04% 1.45% 1.49% 0.00% 0.75% 0.75% 0.00% 1.49% households Total 100.00% 68.11% 31.89% 100.00% 6.23% 4.78% 3.14% 85.85% 100.00% (1 to 4) (Source: Agriculture Department, Bansur) The above table clearly indicates that there are 87.93% farmers are marginal, small, landless or BPL farmers. Only about 12.07% farmers are large in Bansur cluster. Out of the total cultivated irrigated area, more than 69.11% area is with other than large farmers. Similarly out of the total cultivated area 27.91% rainfed & 41.21% irrigated area is either with marginal, small farmers. Out of the total cultivated area, 85.85% cultivated area is with farmers from OBC category followed by General, Schedule Caste and Schedule Tribe farmers. The total irrigated area is only 68.11% of the total cultivated area and out of it 40.96% irrigated area is with small farmers followed by large, BPL & marginal farmers. The rainfed area is 31.89% and out of it 17.84% area belongs to small farmers followed by marginal, large and BPL farmers.
B. Horticulture Crops - Under horticultural crops the area is very low in comparison to agricultural crops. Nevertheless, because of its proximity to NCR the area under horticultural crops i.e. fruits, vegetable and flower crops is increasing also due to the efforts made by the concerned department. The area under horticultural crops in Bansur cluster is not significant however, vegetables: Chilly, Tomato, and Carrot and fruits: Pomegranate, lemon and Papaya as well as flower crop: Marigold are the major horticulture crops has been reported in some areas during past few years. The areas under vegetables, fruits & floriculture crops are very low at about 3.37% of total agriculture land. However, there is considerable scope to increase area under these crops i.e. (vegetables: Chilly, Tomato, and Carrot and fruits: Pomegranate, lemon and Papaya as well as flower crop: Marigold) and diversification from food grain crops to horticultural crops to upgrade the economic level of farmers of the area.
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Table 12 – Area under horticultural crops in Bansur cluster in year 2016-17
Crops Crops Area (ha) % of area Chilly 45 0.49 Vegetables Tomato 55 0.60 Carrot 150 1.64 Papaya 0 0 Fruit Lemon 0.50 0.01 Pomegranate 17 0.19 Flower Marigold 40 0.44 Total Total 307.50 3.37 (Source: Horticulture department, Bansur)
1.10 Livestock status Project Area covers an area of 12935 hectare (ha) comprising eighteen (18) Gram Panchayats and thirty six (37) villages. The villages falling in the Project Area are characterized by low and undependable rain, no source of irrigation, poor infrastructure development, low literacy and high incidence of migration during times of drought. In Bansur cluster large no of households have dairy animals (cattle & buffalo), the dairy cooperative network is well developed. District Milk Union Alwar has 120 milk cooperatives in Bansur, procuring 12000 litres milk per day. In addition to the milk cooperative network many private players like Mother Dairy, Nova, PAYAS and AMUL are also procuring approximate 15000 litres milk per day from the area and supplying milk to Delhi market. There is also large scope of value addition as Milk Cake (local sweet) is famous worldwide and large no of local Sweet Shops are procuring milk for the purpose. Goats are also reared by substantial no of house hold and these house hold are primarily small holders with limited resource. Alwar being the part of National Capital Territory and access to Delhi market have huge scope for goat farming for meat and milk esp. value added products like cheese etc. Table 13 – Livestock profile of the cluster (as per livestock census 2012): Cattle Buffaloes Goats Sheep Pigs Backyard Poultry Farm & Goat Poultry Hatcheries 1660 8801 5638 210 3 46 0 5683
1.11 Watershed Development Bansur watershed cluster of Rajasthan Agricultural competiveness Project is located in Bansur Block of Alwar district. The project area is between the latitudes of 27.555203 and 27.779116 N & longitudes 76.282929 E and 76.331773 E. It is at a distance of 15 kms from Bansur block headquarters and 70 Kms from the Alwar district headquarters. There are 36 no. of villages situated in 18 gram Panchayats in the Project area and other details are given below: Table 14 – Villages & GPs of the cluster S. No. Name of Project RACP (a) Name of Catchment Bansur
(b) Name of watershed area (local name) Bansur cluster (c) Year of Sanction 2012-13
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S. No. Name of Project RACP (d) Project Area 12935 (e) Net treatable Area (Ha) 12935 (f) No. of Gram Panchayat in project area 18 (g) No. of villages in project area 36 (h) Type of Project Watershed cluster (i) Elevation (metres) 0-65 (j) Major streams Sabi (k) Slope range (%) 0 ->10% (Source: Watershed DPR, Bansur) Area in Watershed Micro Watershed-wise Area for water budgeting purpose (Potential Runoff contributing areas includes upper forest lands within the micro watersheds) is being summarized as under: Table 15 – Micro Watershed-wise Area for water budgeting purpose of the cluster S. No. Macro No. Micro No. Name of Village Micro Watershed area 1 6 4 Mahanpur, Machi (in 537 ha) 2 6 5 Mahanpur, Machi, Meerapur 365 3 6 6 Mahanpur 505 4 6 7 Mahanpur, Loyati 210 5 6 8 Loyati, Mahanpur, NangalBhaw Singh, Keherpura, 992 Babera,BhuriDungri, Kothal,Buteri,Kankaria, 6 6 9 Loyati, Mahanpur, Shyampura, Uchpur, Bad Dhundla, 885 Kothal, Sathalpur 7 6 10 Mahanpur 92 8 7 1 Alampur, Kharkhra, Shyampura, Rasnali Main 912 9 7 2 Bas Dayal, Kharkhra, Khoheri, Rasnali Main, 1325 Khiwaheri, Bas Karnawat Main, Milakpur 10 7 3 Bas Dayal, Khoheri, Bas Karnawat Main, Neemuchana 980 Main 11 7 4 Burja, Khoheri, Chaterpura, Neemuchana Main, 1250 12 7 5 Burja, Pali main, Neemuchana 490 13 7 6 Burja Main, Gyanpura, Chaterpura 470 14 8 1 Alampur, Nawalpura, Shyampura, Rasnali, Milakpur 872 15 8 2 Nawalpura, Shyampura 155 16 8 3 Khoheri, Nawalpura, Indrada, Milakpur 345 17 8 4 Khoheri, Prathvipura, Indrada, Holawas, Chterpura, 1750 Gadi 18 8 6 Basna, Bisalu 115 19 8 7 Basna, Bilat, Bisalu 685
Total 3 19 12935 (Source: Watershed DPR, Bansur) Water Budgeting Exercise for the Project Area
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Water budgeting of Bansur watershed cluster is necessary to work out the total number and size of water harvesting structure, i.e. how much total runoff is available, out of which how much is being already stored in existing structures and also how much is available for further storage. The water budgeting of the Bansur cluster is as under : a. Estimation of Rainwater The Project area was categorised on the basis of information available in the land records and inputs received from Revenue Record, GIS layers, and PRA exercise. # Catchment Area (Ha) 1 Good Catchment 0.0 2 Average Catchment 655 3 Bad Catchment 12,935 Total 13,590
(i) Average Annual Rainfall: 635 mm (Data provided by Water Resource Dept, Alwar)
(ii) Calculation of Runoff (Expected Yield) based on the “Strange-Table”
Table 16 – Calculation of Runoff (Expected Yield) based on the “Strange-Table Rating of Characteristics Coefficient in the Area Expected the strange table (in Hectare) Yield (in Catchment (Cum/Ha) (1) (2) Cum) [1 x 2] Good Runoff is maximum & - - - infiltration is minimum like hillocks, plateau etc. Average Runoff is medium like 978.80 655 641114 cultivated land, forest land with vegetation Bad Runoff is minimum and 652.5 12935 8440088 infiltration is maximum e.g. Sandy soil Total 13590 9081202
(iii) Estimation of water-storage in existing water harvesting structures situated in Cluster:- Table 17 – Estimation of water-storage in existing water harvesting structures situated in Project Area S. No. Type of Structure Nos. Storage Capacity Storage Capacity (In Cum) (% of Total Surface Runoff) 1 Farm Ponds Nil Nil 11.83 % 2 Nadis Nil Nil 3 Anicuts Nil Nil 4 Village ponds (Talab) 25 75930 5 Local Depression 998930 TOTAL 1074860
(iv) Calculation of the Balance Runoff: Balance Runoff = Expected Yield (ii) – Present Storage Capacity (iii)
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Balanced Runoff = 9081202 cum – 1074860 cum = 8006342 Cum
1.12 Water Recourses and its Scenario The Bansur (Alwar) cluster in Eastern Rajasthan has been selected as one of the watershed project clusters as most of the area is rainfed. There is no such perennial surface water source in the cluster, only the Sahibi River is the major water stream. Rainwater is the main source of water which requires for crop production in Kharif season. Rainwater is also the main source of ground water recharge in the cluster. In Bansur cluster the main source of irrigation is ground water which is mainly used in Rabi season. The entire Project Area was categorised based on the nature and characteristics of the area. Based on the catchment area and annual average rainfall, the total yield of rainfall is about 82.14 MCM (simple formula used area x average rainfall). As per ground water study, about 6-18% of rains contribute to ground water, which depend on type of catchment, formation, intensity & quantity of rainfall etc. The Bansur cluster is an under average to bad catchment area, its formation is older alluvium and with about 18% of rainfall, which contribute to the ground water. Based on the strange table, total expected yield of water would be 3,118,946.90 cum. Out of this, total 16,904.76 cum. water is already being harvested through Tankas and Masonry Nadies and local depressions in the cluster. The balance 3,102,042.14 cum could be conserved in areable areas and other activities like construction of Tankas & Masonry Nadies in index catchment. Existing Gross Ground Water Draft of 35.27 MCM for Irrigation are withdrawn through 2351 wells/Tube wells for irrigation purposes in the Bansur Cluster area. Existing Gross Ground Water Draft of 1.46 MCM for Domestic purposes are withdrawn from Wells/Tube wells/Hand pumps. Net Annual Ground water availability as on 31.03.2013 was 22.64 MCM as per the GW estimation as on 31.03.2013 on the basis of GEC-97 Guidelines.
2. CONSTRAINTS AND CHALLENGES (RATIONALE OF SELECTION OF THE CLUSTER) The Bansur cluster has been selected to achieve the Project Development Objective (PDO) of establishing the feasibility of sustainably increasing agricultural productivity and farmer incomes through a distinct agricultural development approach by integrating agriculture water management and agricultural technology, farmer organizations and market innovations. The Bansur cluster is a watershed cluster which is a hydrological unit. The Bansur watershed cluster is selected in the IIIrd B Agro-climatic Zone (Flood Prone Eastern Plain). The Bansur cluster is a watershed cluster and most of the cultivation is based on the rain water received during the monsoon. Second source of water is ground water and ground water is again dependent on the rain water management and ground water recharge. In addition to domestic and animals, the conserved moisture and ground water are used for agriculture and horticulture production. As goat or small ruminants are basic livelihood of the villagers / farmers, so the emphasis on these aspects is needed to be in the cluster. Finally agriculture, horticulture and animal husbandry are the basic livelihood of the residents of the cluster. Keeping in view above
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PERFORMANCE / IMPACT REPORT OF BANSUR CLUSTER in mind, the investments have to be made on rainwater management to increase water availability and improve field application efficiency in the cluster so as to enhance productivity of value chain crops of the cluster and market accessibility in the area to get the more benefit. As stated earlier that small ruminant’s i.e. goat management is also significant for rural livelihood therefore appropriate investment provision has to be made on this aspect in the cluster. The support to small ruminants will focus on improving productivity through breeding, feeding and health activities at the cluster level. Improved feeding will not only aim to optimize the use of crop residues, but also make better use of common property lands. Although the irrigation water is limiting factor of the area but good rains, good ground water potential and facilities availability in the cluster as it lies in vicinity of National High Way and National Capital Region (NCR), there is scope of development of one or two value chains in the cluster that may be competitive advantageous. There are sufficient facilities available for marketing, which can have impact on the cluster. There is a warehouse of CWC having 35497 M Tonnes which can be used for storing the farm product. Therefore looking to the water use efficiency and industrial value of the crops and at the same time consultation with various stakeholders, following crops have been selected for value chains: Kharif Crops – Pearl Millet (Bajra) Rabi Crops –Barley Horticulture Crops – Vegetable (Chilly, Tomato & Carrot) To address the issues of improvement of water use of efficiency, production constraints, to reduce the role of middle man in marketing activities, transfer of technology and market led advisory services, livestock strengthening, market infrastructure and value chain development, the Bansur Watershed cluster has been selected for appropriate investments under Climate Resilient Agriculture, Market & Value Chains, Farmer’s Organization and Capacity Building and Project Management and M&E components in the project area. Table 18 – Consolidated Investment Plan S. Department Components (Rs. Lakh) No. Climate Market & Farmer’s Project Total Resilient Value Organization and Management Agriculture Chains Capacity Building and M&E 1. Watershed 917.44 0 19.40 20.00 956.84 Development & Soil Conservation 2. Agriculture 1102.48 232.00 148.13 9.36 1491.97 3. Horticulture 1,823.71 0 36.00 11.00 1870.71 4. Animal Husbandry 609.46 230.00 54.20 19.55 913.21 Total 4,453.09 462.00 257.73 59.91 5232.73 An estimated total amount of Rs.5232.73 lakh were planned to incurred in Bansur cluster to make the farmer and cluster competitive and to maximize water as well as agricultural productivity in the cluster.
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3. INTERVENTIONS IMPLEMENTED:
3.1 Agriculture Sub Component In the project area Farmers are cultivating both Kharif and Rabi crops. Some of farmers are also cultivating vegetable in the cluster. In the Kharif season, Pearl Millet (Bajra), Maize, Sorghum (Jowar), Kharif pulses, Pigeon Pea (Arhar), Sesamum (Til), Cotton, Cluster Bean (Guar) etc. are sown while In the Rabi season Wheat, Barley, Gram, Mustard, Rabi pulses etc. are cultivated. The major crop of Kharif season is Pearl Millet (Bajra) and of Rabi Season is Mustard and wheat. Seeds are major inputs which are using by the farmers. Before the interventions of RACP project, farmers were using traditional verities of seeds with primitive packages and practices of agriculture. These all used inputs were decreasing the productivity as well as their economic status. To raise farm productivity and financial status of local farmers, Arpan Seva Sansthan, with the support of DPM and PMU, conducted awareness generation meetings with farmers, community and formed MTGs. The prime agenda of Rajasthan Agricultural Competitiveness Project are development of farmers through introduction of new agriculture technologies, adoption of advanced farmers friendly techniques and increased production and productivity of crops. Due to the immense efforts of all stakeholders of RACP, farmers have started to use improved seed for Barley, Maize, Jowar and Guar crop. But the seed replace rate (SRR) for other crops is comparatively low. So to motivate the farmers for SRR, concern departments must come with more promising varieties of seeds. Seed production activity and adoption support for the same is also required. More promising crops, varieties and technology also needs to be intervened to match the fodder demand of the cluster area. The Integrated Nutrient Management (INM), Integrated Pest Management (IPM) and other innovative techniques are still needs to be intervened for the environmental and techno friendly agriculture. The soil preparation, sowing and threshing of the crops is performed through tractor drawn implements but still there is a great need to introduce the more efficient mechanization tools for farm operations. Post-harvest techniques are also imperative to introduce in the cluster for the prevailing and ensuing crops. The farmers’ community is supported by the extension machinery of Agriculture department up to the grass roots level but the extension system still needs to be compatible with the ICT (Information and Communication Technology) for more effective delivery of the services. Market information and market access is an important intervention to be looked into. The capacity building and regular technical back up to the farmers for the latest updates of the agriculture technologies would be a useful tool for the competitiveness, sustainability and profitability. Looking to the above mentioned scenario, the main proposed activities of the Agriculture subcomponent with certain desired objectives are: i. Promotion of efficient techniques of irrigation to increase the irrigation efficiency, improve productivity and reduce cost of production.
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ii. Diversify the present wheat crop to barley with the aim to improve the irrigation water use efficiency and to develop a new value chain crop through demonstrations and capacity building. iii. Promotion of farm mechanization to reduce the cost of production. iv. Promotion of seed production and adaption support to improve the SRR and the farmer income. v. Promotion of fodder production to reduce the gap of demand and availability of fodder for the animals. vi. Introduction of ICT based extension system for the quick reach of the solutions to the beneficiaries. vii. Capacity building of the beneficiaries to achieve the PDO.
The Investments and Cost Estimates as per CACP and the cumulative Achievement till 31.01.2020 under the Agriculture Subcomponent under RACP, Bansur: Table 19 – Cumulative Achievement till 31.01.2020 under the Agriculture Subcomponent S. Name of Unit Targets as per Cumulative Performance Narrative No. Interventions CACP Achievements till 31.01.2020 Phy. Fin (Rs. Phy. (No.) Fin (Rs. (No.) Lakh) Lakh)
1 Component 1 : Climate Resilient Agriculture 1A Sub Component 1A: Improved water use efficiency (Micro Irrigation (MI) based technology) 1A-1 Integrated ha 5 11.00 0 0 Due to high farmer share demonstration for and safety issue of high Drip Irrigation cost machinery in farm System with areas, farmers prefer to Automation and install drip system in fertigation based horticulture crops like techniques for vegetables only, also field crops farmer share is less in 1A-2 Integrated ha 33 47.51 0 0 Horticulture Department demonstration for schemes for Drip Mini Sprinkler Irrigation System. based techniques for field crops 1A-3 Drip Irrigation ha 50 65.00 4.48 1.68 In cereal crops, such MIS System is not physically viable as productivity reduces due to more area required (drip riser distance 1 m) and also in sandy soil strata, it doesn’t works much 1A-4 Mini/ Micro ha 120 108.00 171.22 87.36 There is more adoptability Sprinkler of installation of sprinkler Irrigation System System and pipeline 1A-5 Sprinkler ha 1600 320.00 1566 132.21 among the farmers. Irrigation System
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S. Name of Unit Targets as per Cumulative Performance Narrative No. Interventions CACP Achievements till 31.01.2020 Phy. Fin (Rs. Phy. (No.) Fin (Rs. (No.) Lakh) Lakh) 1A-6 Pipeline for piped 100 1067 106.67 3310 3.88 conveyance of mtr irrigation water Farm Pond No. 0 0.00 1 1.20 Sub Total 658.18 227.13 1B Sub Component 1B: Technology transfer and market led advisory services (Promoting Adoption and Documentation of Improved Technologies) 1 Soil Testing Nos. 1701 1.41 400 0.80 Agriculture Department already running PM Soil Health Card Scheme in cluster area, and all farmers have been benefitted in both the irrigation 2 Demonstrations on Ha 2100 168.88 3000 114.15 Mustard =1400 Ha production (400+300+500 +200) , technologies for Millet = 1500 Ha value chain crops (300+400+300+ 500) to bridge gap Barley = 100 Ha 3 Demonstrations on Nos. 120 120.00 140 46.48 Rotavator = 54 Nos. farm (4+11+15+24) mechanisation and Movable Threshing Floor PHM technologies = 1220 Nos. (420+500 +300 ) Storage Been = 110 Nos. Thresher = 2 Nos. Seed cum Fertilizer Drill = 52 Nos. (27+25) Disc plough = 23 Nos. Tractor Mounted Reaper = 2 Nos. Bill Payment is under process 4 Demonstrations on Ha 360 27.05 190 8.53 A.S. has been issued and forage/ fodder material supply work is in progress. 5a 1. Promotion to Ha 399 18.96 44.5 1.26 The Seed production seed production target has been taken only in first year Annual Action Plan as per CACP while as RSSC* Alwar asked to bring produced seed in Alwar only and which is not financially viable for farmer so it was not completed Required processing unit and RSSC / NSC units as both are not in the project area 5b 2. Promotion to Ha 1300 65.00 220 1.60 Wheat-70 Barley - Adaption support 50,Mustard-100 Agriculture department already provides seeds
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S. Name of Unit Targets as per Cumulative Performance Narrative No. Interventions CACP Achievements till 31.01.2020 Phy. Fin (Rs. Phy. (No.) Fin (Rs. (No.) Lakh) Lakh) under the Beej Gram, NFM schemes 6 Innovative No. 20 20.00 0 0 activities/ INM/ IPM Sub Total 1Ba 421.30 172.82 2 Component 2 : Markets and Value Chains 3 Component 3 : Farmer organization and capacity building 1 Field days, L.S. 15 21.32 18.19 exposure visits,
orientation, capacity building 2A Sub Component 2A: Agri-Business Promotion Facility 2A-1 Status of FPC Nos. 4 4 2 FPC/FPO
Total 1A +1Ba 1079.48 399.95 (Source – CACP Bansur cluster and RACP -IUFR, Agriculture Department, Alwar) Some Snapshots of the Agriculture sub component activities –
MIS Activities; -
Farm Pond; -
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Demonstration:-
Implements (Seed cum Fertilizer Drill, Disc Plough, Rotavator and Reaper)
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3.2 Horticulture Sub Component In agriculture water productivity is a major concern in the state, this implies promotion of high payoff and low water requiring crops is the main focus under the project. Horticultural crops are recognized as high payoff, nutritious value crops. Water management issue is also very important issue in the agriculture. Areas depend on rains and ground water is becoming very important in the field of water management. Whatever ground water is available in the cluster should be used judiciously. Horticulture is one of the sectors which has emerged as major drivers of growth in the agricultural and allied sector. Notably, the problems in development of Horticulture are pressures emanating from climate change; post-harvest losses; bio-security concerns; absence of market linkages and resultant price fluctuations; changing quality consciousness; and global competition. These concerns need to be addressed in order to sustain the growth momentum in horticulture. The focus of the growth strategy, therefore, needs to be on raising productivity by supporting high density plantations, protected cultivation and efficient irrigation methods i.e. micro irrigation, quality planting material, rejuvenation of senile orchards and a thrust on post-harvest management to ensure that farmers do not lose their produce in transit from the farm gate to the consumer’s plate. Although there is not much horticultural fruit plantations at present, but the availability of fertile land and good quality water along with the proximity to the National Capital Region (NCR) provides immense opportunity for the cultivation of flowers and fruits as well as vegetables, herbs. The area is suitable for fruits like Guava, Beal, Lemon, Pomegranate, Papaya etc., hence, the area under pearl millet in Kharif crops, would be diversified in to the cultivation of vegetables, herbs, flowers and fruits crops. Considering the potential and acceptance of the area Chilly, Tomato, Carrot and Cucurbits in vegetable crops, Marigold under floriculture and Pomegranate & Lemon in fruit crops are to be promoted through demonstration with drip irrigation. Solar technology would also be promoted to assure irrigation. Farm mechanization would also be promoted to reduce the cost of cultivation. Post-harvest management would also be promoted. Based on the above facts and to promote horticulture in the area following activities were implemented in the cluster: i. Demonstrations on production technologies for Fruit Cultivation – Wide spacing of crops with inter-cropping and High density plantations ii. Demonstrations on production technologies for vegetable Cultivation including Assistance on green house, Assistance on shade net house, iii. Micro irrigation in horticulture crops iv. Solar Pump Program, v. Post-Harvest Management vi. Horticulture Mechanization and vii. Farmers training, Seminars, Exhibition Kisan mela etc.
The Investments and Cost Estimates as per CACP and the cumulative Achievement till 31.01.2020 under the Horticulture Subcomponent under RACP, Bansur:
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Table 20 – Cumulative Achievement till 31.01.2020 under the Horticulture Subcomponent S. Name of Interventions Unit Targets as per Cumulative Performance No. CACP Achievements till Narrative 31.01.2020 Phy. Fin (Rs. Phy. Fin (Rs. Lakh) Lakh) I. Component 1: Climate Resilient Agriculture IB Sub Component 1B: Technology transfer and market led advisory services 1 Promoting Adoption and Documentation of Improved Technologies i. Assistance on production technologies for Fruit Cultivation 1 A. Wide spacing crops Ha 105 295.05 24.27 91.05 Sandy soil not suitable with inter cropping for such crops and the First year Maintenance Ha 97 56.26 land holding is also support small mostly. Apart from such constraints, Second year Ha 40 30.0 fruit plantation is also Maintenance support having years long 2 B. High density Ha 70 389.90 41.59 production (about 3-4 plantations years), therefore First year Maintenance Ha 50 54.50 farmers prefers support vegetable cultivation Second year Ha 0 0.0 more. Maintenance support 3 Assistance on Ha 100 292.0 166.92 222.74 Due to fast and high production technologies remuneration, for vegetable vegetable cultivation Cultivation area has been increased 4 Assistance on green SqM 30000 330.0 32056 195.49 Due to fast and high house remuneration, Green House technology has been adopted in vegetable cultivation 5 Assistance on shade net SqM 4000 36.0 2000 8.85 Due to high cost, house farmers prefers Green House technology 6 Solar Pump Program Nos 45 247.50 87 155.92 Farmers adopted solar pumps for reliable and day time power supply for irrigation 7 Post-Harvest Nos 1 28.0 4.67 Mini Tractor - 4, Management Plastic Crates - 1500, Battery Sprayer-116 AS issued for the same, financial bill is under process 8 Horticulture Nos 3 22.50 9.11 Power weeder-8, Mechanization Tractor Mounted sprayer – 10 9 Micro Irrigation in Ha Horticulture Crops (Drip System) Fruits 20 16.0 Vegetable 20 26.0 10 Insect Solar Trap 66 0.76 Not planned in CACP, 11 Vermi Compost Model 16 1.35 New added – B interventions as per need of the community Sub Total 1B 1823.71 689.94
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S. Name of Interventions Unit Targets as per Cumulative Performance No. CACP Achievements till Narrative 31.01.2020 Phy. Fin (Rs. Phy. Fin (Rs. Lakh) Lakh) III Farmer's Organization and Capacity Building 1 2 days Farmer's training Nos 12 12.0 14.97 (50 farmers in each) 2 Exposure visit for 50 Nos. 6 12.0 farmers for 5 days 3 Seminar for 100 Nos. 6 12.0 participants for 2 days Total 1859.71 704.91 (Source – CACP – Bansur & RACP -IUFR, Horticulture Department, Alwar) Some Snapshots of the Agriculture sub component activities –
Polyhouse; -
Drip Automation
Solar Pumps:-
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Vegetable Cultivation:-
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Solar Insect Trap
3.3 Livestock (Small Ruminant) Sub Component Farming system remains incomplete without livestock, which provides not only draught animal power for land management and manure for crop production but also insures increased income and nutritional food for poor communities. Under RACP project focus was given on Goat rearing. Goat husbandry is an important source of livelihood for the rural poor, particularly for landless and marginal farmers living in interior areas, who do not have other means of survival. Goat is ideally suited for the poorest of the poor because of the short gestation period, low risk capital investment and low cost of maintenance. Goat rearing being a traditional practices among the poor scheduled caste and scheduled tribes families, it is considered as a poor man’s cow. It is because of their tolerance to harsh climatic conditions and nutritional stress, that goat are able to survive where other species of livestock cannot thrive. Looking to the importance of the small ruminant in the life of deprived and underprivileged community, RACP team had decided to work for promotion and breed improvement of goat. The process of goat trading is associated with the weight of the unit (goat).Goat bearer often sell bucks and old goats to traders came from nearby cities and town. The price of goat has quoted by the trader first (on visual estimate of flesh) and not by the community who is possessing goats. Based on the livestock status & Goat profile of the Bansur Cluster and also discussions with community & veterinary professionals of the project area following major constraints were identified i. Low Milk yield and weight gain of non-descript goat population ii. Low penetration of animal health services and poor infrastructure of exiting animal husbandry institutions iii. Lack of knowledge of scientific goat husbandry practices esp. feeding, breeding and management among farmers iv. Low resources esp. among small holder’s for housing and feeding v. Lack of aggregation practices for bulk procurement and marketing vi. No update knowledge of improves goat husbandry practices among veterinary professionals vii. No Goat Marketing facility and poor marketing practices Based on the above facts and to promote livestock based livelihood among the women in the area following activities were implemented in the cluster:
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i. Improving productivity (milk and weight gain) through investment in breeding, feeding and animal health services ii. Improving market access and local level small value addition iii. Supporting farmer advisory and training of the farmers, and training of existing Animal Husbandry Department’s technical staff and iv. Project management. The Investments and Cost Estimates as per CACP and the cumulative Achievement till 31.01.2020 under the Livestock (Small Ruminant) Subcomponent under RACP, Bansur: Table 21 – Cumulative Achievement till 31.01.2020 under the Small Ruminant Subcomponent S. Name of Interventions Unit Targets as per Cumulative Performance Narrative No. CACP Achievements till 31.01.2020 Phy. Fin (Rs. Phy. Fin (Rs. Lakh) Lakh) I. Climate Resilient Agriculture 1 C Livestock Strengthening and Management 1 Distribution of bucks No. 320 32 320 23.96 Less competitive rates (farmers) quoted by vendors compare to anticipated in CACP 2 Distribution of goats No 300 96 286 91.30 No. of project prescribed (widows & disabled) beneficiaries were not (one unit of 4 goats) available as anticipated in 3 Goat insurance (8% per No. 1520 12.16 1464 11.71 CACP annum) of units receiving improved bucks and does 4 Veterinary Health No 690 34.50 67.63 Included LLW Camp support (one honorarium and ICT camp Per GP Per Support for LLW/MF, month) vehicle for emergency animal health services 5 Establishment of Cancelled in context of regional technology requirement later center (RTC) I A- grade No. 1 60 Ii B- grade No. 2 60 6 Vehicle for emergency No. 1 10 Expenses included above animal health services 7 Operating cost of RTC No. 9 32.4 Expenses included above including POL for Vehicle 8 Link worker/MF No. 54 19.44 Expenses included above honorarium (One per Gram Panchayat ) 9 Azolla demonstration Nos 800 52 800 48.89 Less competitive rates quoted by vendors compare to anticipated in CACP 10 Housing supports No. 100 66 9 7.48 Intervention started in year 2017-18 only and also farmer share is so high and poor farmers didn’t came forward for
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S. Name of Interventions Unit Targets as per Cumulative Performance Narrative No. CACP Achievements till 31.01.2020 Phy. Fin (Rs. Phy. Fin (Rs. Lakh) Lakh) the same as much as anticipated 11 Feeding and water No. 800 40 750 30.34 No. of project prescribed troughs distribution beneficiaries were not available as anticipated in CACP 12 Travis installation in Nos 37 5.55 42 6.26 In few villages, which are project villages (one per larger in size and having village) two sub centers, two travis installed 13 Distribution of chaff Nos 800 64 1050 71.54 Distributed as per the cutter need of community 14 Animal identification
i. Tags Nos 5000 0.9
ii. Needle Nos 360 0 iii. Tag applicator Nos 10 0.15
15 Weighing balance No. 1500 15 1382 15.50 As per departmental instruction 16 Feed supplement No. 6000 7.56 12000 10.29 As per departmental distribution instruction 17 ICT Support for 18 1.8 Expenses included above LLW/MF Sub total 609.46 384.9 II Market & Value Chain 1 Formation of MTG No. 100 0 100 0 Completed (goat) 2 Establishment of rural No 1 200 Identified the location and haat submitted to the AHD but as per departmental instructions not established 3 Clean milk production No. 3000 30 3000 51.18 As per departmental instruction Sub total 230 51.18 III Farmers Organization & capacity Building 1 MTG members Goat No. 1500 41.445 Management 2 MTG members No. 1500 8.175 PMU level Refresher Goat Management 3 LLW training No. 21 1.575 21 4 Professional staff No. 20 1.5 PMU level training 5 Goat No. 3 1.5 PMU level Exhibition/Seminar Sub Total 54.195 (Source – CACP Bansur and RACP -IUFR, AH Department, Alwar) PAGE 34 OF 118 ARPAN SEVA SANSTHAN
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Some Snapshots of the Agriculture sub component activities –
Azolla Demonstration; -
Chaff Cutter
Weighing Scale
Goat House
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Goat & Buck Distribution
Feeding & Water Trough
Animal Health Camp
Feed Supplement
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3.4 Market and value chains The objective of this component is to enable farmers to engage in profitable market oriented production, that is sustainable, and to promote partnerships and market linkages with other value chain participants and agribusinesses. The component will help producer groups, agro enterprises, and commodity associations, to actively engage in the development of commodity value chains by partially financing demand-driven investment proposals to producer organization through a matching grant. This will be done by further organizing members of MTG and developing their capacity and skills for input and output marketing. It is expected that aggregation will bring economies of scale in procurement of inputs and marketing of agricultural produce, thus enabling wider access to markets. These producer organizations will be an important vehicle for promoting market-oriented production in their geographical jurisdiction and can act as centers for technology dissemination and input/output marketing. Project will develop (a) value chains aiming to establish longer term partnerships and market linkages between farmer groups and agribusiness enterprises, facilitated through an Agri-Business Promotion Facility (ABPF); and (b) alternate market channels. It is in this context that the FPCs that are developed may serve as input facilitators of seeds, pesticides etc. operators of common facilities by way of primary processing facilities, custom hiring (of farm equipment) facilitators, seed producers as well as platforms for B2B linkages directly with secondary processors/marketers. To promote Farmers’ Producer Company along with the development of farmer common service center, following intervention/assistance provided by the project in the cluster : Table 22 – Cumulative Achievement till 31.01.2020 under the Market & Value Chain S. Name of Interventions Unit Targets as per Cumulative Performance Narrative No. CACP Achievements till 31.01.2020 Phy. Fin (Rs. Phy. Fin (Rs. Lakh) Lakh) I. Component 2: Market and Value Chain (Agri. and Horti.) Sub Component 2B: Market Infrastructure and Agribusiness Support 1 Nurturing farmers group i) Registration expenses FPC 4 4 2 2 In context of need and other pre-operative assessment of market expenses- FPC availability of crop ii) Manpower Expenses - FPC 4 24 2 12 production is much than FPC (Rs. 25,000 per the livestock products, 2 month for 2 years) FPCs were formed and iii) Office Establishment FPC 4 4 2 2 both are doing their (only physical assets business as per business like chair, tables,
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S. Name of Interventions Unit Targets as per Cumulative Performance Narrative No. CACP Achievements till 31.01.2020 Phy. Fin (Rs. Phy. Fin (Rs. Lakh) Lakh) computer, printer and plan and both have license other furniture) of Mandi 2a Value Added Unit FPC 4 120 2 60 Both FPCs having their (Common Facility) - own offices and store FPC along with qualified CEOs to run the business. 2b Value added unit- FCSC 1 25 - - Dropped as per not Goat requirement Total 177 76 (Source – CACP Bansur)
Outcome and impact of the interventions - Total 636 CBOs has been formed, out of which 300 MTGs of agriculture & horticulture, 101 MTGs of Goatry, 18 MTAs, 215 UGs and 2 FPCs. Regular meetings and training were provided to these CBOs for active participation in project activities, adoption of various interventions and consolidating the benefits. The two FPCs are having more than 1000 members as of now since their inception Bansur Kisan Producer Company Ltd. (Total members = 566, BOD = 10, CEO=1) RBC Kisan Producer Company Ltd. (Total members = 561, BOD = 10, CEO=1) Both FPC have their bank accounts and are conducting collective purchase of agri-inputs business. In last two years, both FPC have done collective business of more than Rs. 10 lakh which is commendable for starting FPCs. Buyer seller meets as well as capacity building training for board members of FPC have been conducted on regular basis. Apart from the RACP project interventions, Arpan has made an agreement with Syngenta Foundation India (SFI), to improve the livelihoods of the small & marginal farmer's families, through Agri-entrepreneur (AE) training programme in Bansur cluster.
3.5 Watershed Sub Component Watershed is not simply the hydrological unit but also socio- ecological entity which plays crucial role in determining food, social, and economical security and provides life support services to rural people. The criteria for selecting watershed size also depend on the objectives of the development and land slope. A large watershed can be managed in plain valley areas or where
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PERFORMANCE / IMPACT REPORT OF BANSUR CLUSTER forest or pasture development is the main objective. In hilly areas or where intensive agriculture development is planned, the size of watershed relatively preferred is small. Definition of Watershed: - Watershed is a Geo-hydrological unit of land having a single outlet or drainage point and ridge line having drainage divide of rainfall. The Bansur watershed cluster of RACP is located in Bansur block of Alwar district. Thirty-Six villages of 18 Gram Panchayats are situated in the catchment area of Bansur Project. The elevation difference of cluster is from 0-65 meters and slope range is from 0-10% or more than 10%. The major water stream of the watershed is the Sabi River. The Project Development Objective (PDO) is to establish the feasibility of sustainably increasing agricultural productivity and farmer incomes through a distinct agricultural development approach by integrating agriculture water management and agricultural technology, farmer organizations and market innovations in selected locations across the ten agro-ecological zones of Rajasthan. Catchment (Watershed) project area covers12935hectare comprising18Gram Panchayats and 36 villages. The Cluster village has a population of 50168, out of this 26372 are male while 23796are female (Population has calculated by the field survey conducted by the NGO). In cluster the numbers of schedule caste people are 7401 and scheduled tribes are 1979. Cluster have total8285 households out of which small farmer are 3570, marginal farmer are2004, large farmer are 1000 and remaining are landless and BPL. Table 23 – Population Details in Catchment (Watershed Area) Male Female Total SC ST 26372 23796 50168 7401 1979 52.57% 47.43% 100 14.75% 3.94% (Source: Watershed Deptt. & consultation with support agencies) Major Challenges under Catchment Area: - Major portion of project area is rain-fed and no another source of irrigation Fully dependency on groundwater for the purpose of irrigation Lack of Community Base Organizations and farmers Group in said area Undulated Topography of the catchment area Limited road infrastructure may result delay of demand and supply chain management Lack of livelihood alternatives as agriculture and animal husbandry are the only means of income (This situation compel the villagers for migration in lean phase/ drought period) Low level of literacy and awareness in the selected villages resulting in lack of transformation on agriculture and other livelihood practices Low awareness about government schemes related to agriculture/horticulture Objectives of Water Management in the Cluster; - To promote the socio-economic development of the village community through optimum utilization of natural resources of watershed To conserve soil, rainwater and vegetation effectively and harvest rain water to create
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surface water resources and the stored water may be utilized through drip irrigation and to recharge groundwater To promote sustainable farming and stabilize crop yields by adopting suitable crop management system To cover the non-arable areas effectively through forestation, horticulture and pastures based on land capability classification To improve the economic and social conditions of the resource - poor and disadvantaged sections of the watershed community by employment generation and enhancing the income of individuals by adopting alternate enterprise Restoration of ecological balance Thus, watershed development activities in rain-fed areas aim at conservation and management of natural resources on arable and non-arable lands to harvest and conserve rainwater, improve the productivity of crops, horticulture plantation, fuel and fodder resulting in increased income of Below Poverty Line (BPL) families, SC/ST, landless and marginal farmers, poverty alleviation and drought proofing. The conservation measures meant to reduce or prevent sheet erosion. The important principles to be kept in view while planning measures for proper conservation of water are increasing the time of concentration and thereby allowing more runoff water to be absorbed, intercepting the long slope into short ones and protection against damage and to excessive runoff. Socio-economic condition of the cluster: - There is unorganized market in the cluster and farmers sell their produce in the local markets. The production of Maize, Soybean, and other crops is being sold through unorganized local market of Mandi of Bansur, Kotputli, Khairtal, and Kherli district Mandi (markets) are located just 20-25 km from the cluster respectively. Table 24 – Household Details in Catchment (Watershed Area) BPL Land Small Margin Large Total SC ST househol Less Farmer al Farmer househol household househol d Farmer d d 1198 1711 3570 2004 1000 8285 1242 174 10.10% 20.65% 43.09% 24.19% 12.07% 100 14.99% 2.10% (Source: Watershed Deptt. & consultation with support agencies)
Proposed Activities in the watershed cluster - Proposed activities in watershed cluster is dependent on extent of the soil erosion and crops grown in the cluster, so that soil erosion can be controlled and requirement of the crops of the cluster could be met out. Although Kharif crops are grown in rain fed area but for getting more production lifesaving irrigation has to be applied on the crops through drip/sprinkler system. Similarly, in Rabi crops, the crop requirement is to be catered either from ground water or from harvested water done through water storage structures needed in the area. Keeping these in view following activities has been planned: -
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Table 25 – Proposed Activities in the watershed cluster S.No. Activity Description
1 Mini Percolation MPT (Mini percolation tank) activity is proposed to harvest & Tanks (MPTs) infiltration of runoff in drainage line 2 Peripheral Bund Peripheral Bund activity is taken to state the banks of drains/Nallah along with agricultural land, so that land does not erode. 3 Contour bund / Contour bunds are constructed to check soil erosion, reduced Field Bund velocity of rain fall then increase infiltration rate of water and conserve moisture to grow crops then save irrigation. 4 Field Bund Field bunds are constructed to check soil erosion, reduced velocity of rain fall then increase infiltration rate of water and conserve moisture to grow crops then save irrigation. 5 Chute Spillway A chute spillway is a common and basic design which transfers excess water from behind the dam down a smooth decline into the river below. These are usually designed following an ogee curve. Most often, they are lined on the bottom and sides with concrete to protect the dam and topography. Chute spillways can be ingrained with a baffle of concrete blocks but usually have a 'flip lip' and/or dissipater basin which creates a hydraulic jump, protecting the toe of the dam from erosion 6 Ramp-Cum Ramp-cum Waste Weir activity is proposed to stop further Waste weir elongation of gullies, to stabilize gullies & to provide safe disposal of excess water on agricultural land. 7 Dugout Pond Dugout Ponds, at a lower elevation, are constructed to harvest the excess runoff after in-situ moisture conservation. Farm pond helps in providing supplemental irrigation as well as increasing cropping intensity. 8 Continuous Constructed along the contour across the slope of the land in the Contour Trench upper and middle reaches of watershed to reduce velocity of flowing water and to retard its scoring action The rainwater retained in the trenches help conservation of moisture. 9 Deep Deep continuous trenches are made on the slope for soil and water Continuous conservation and time a forestation purpose. These trenches heaps Contour Trench are planted with trees. (Deep C.C.T.)
10 SGT SGT activity is proposed to reduce the velocity of runoff in drainage line of Ist order 11 Percolation Percolation tank is a small water harvesting structure, constructed Tank across a natural stream or water course to harvest and impound the runoff from the catchments for a longer time, to facilitate vertical and lateral percolation of impounded water into the soil substrata,
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thereby recharging groundwater storage in the zone of influence of the pond.
12 Dugout cum Dugout cum embankment bund at a lower elevation, are constructed Embankment to harvest the excess runoff after in- situ moisture conservation. bund Farm pond helps in providing supplemental irrigation as well as increasing cropping intensity. 13 Pasture land 1. Fencing of Pasture Lands:-fencing of the area by ditch cum development bund / CPT supported by vegetative measures. 2. Tree plantation on an un-cultivated Non arable/ Pasture lands to develop at canopy. 3. Over-seeding of grass seeds in pasture land areas:- Broadcasting of locally suited palatable grass seed like Sevan, Dhaman, Stylosanthes Hamata etc. 14 Water WHS structure to be constructed in drainage line where runoff and Harvesting intensity of water flow is high and the earthen structure is not Structures sustainable. 15 Minor Masonry MMS structure to be constructed at drainage line where runoff & intensity of water flow is very high & the earthen structure is not sustainable Watershed development activities in rain-fed areas aimed at conservation and management of natural resources on arable and non-arable lands to harvest and conserve rainwater, improve the productivity of crops, horticulture plantation, fuel and fodder resulting in increased income of Below Poverty Line (BPL) families, SC/ST, landless and marginal farmers, poverty alleviation and drought proofing. On extent of the soil erosion and crops to be grown in the cluster so that soil erosion can be controlled and requirement of the crops of the cluster could be met out, following activities were implemented in Bansur watershed cluster area. The Investments and Cost Estimates as per CACP and the cumulative Achievement till 31.01.2020 under the Watershed Subcomponent under RACP, Bansur: Table 26 – Cumulative Achievement till 31.01.2020 under the Watershed Subcomponent Cumulative Targets as per Achievements till S. CACP Performance Name of Activity Unit 31.01.2020 No. Narrative Fin (Rs. Fin (Rs. Phy. Phy. Lakh) Lakh) 1 Component 1: Climatic Resilient Agriculture 1A Sub Component 1A : Improving Water use efficiency Physical Activities : 1.1 Watershed Sub Plan 10.35 of Cluster Agricultural Competitiveness Plan (CACP) 1.2 Hydrological 50.00 Monitoring Network (HNM) & Crop
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Cumulative Targets as per Achievements till S. CACP Performance Name of Activity Unit 31.01.2020 No. Narrative Fin (Rs. Fin (Rs. Phy. Phy. Lakh) Lakh) Water Budgeting (CWB) Etc. 1.3 ACTIVITIES ON ARABLE LAND 1.3.1 Arable Conservation Measure 1 Contour Bund Type A Rmt 14416 16.09 14416 17.08 Completed 2 Pacca Waste Weir Nos. 18 6.48 4 1 3 Peripheral Bund Nos. 4260 7.52 6776 8.79 Completed 4 Field Bund Rmt 108578 162.87 143413 135.88 Completed 5 Rump Cum Waste weir Nos. 360 25.92 5 0.35 Initially Farmers were not interested in the activity 6 Peripheral Bund Rmt 4487 8.53 7 Chute Spillway Nos. 9 6.84 8 Earthen check dam Nos. 7 4.06 4 3.04 9 Farm Pond Nos. 9 35.46 Total 1.3.1 330.06 1.3.1 Arable Production Measure 1 Agro Forestry Nos. 17381 5.31 1470 0.29 Total 1.3.2 5.31 Total Arable 1.3.1 +1.3.2 335.37 1.4 ACTIVITIES ON NON ARABLE LANDS 1.4.1 Non-Arable Conservation Measure 1 Nadi Ty I L 50 mt ht. Nos. 3 2.54 33 46.06 Completed 2.5 mt 2 Nadi Ty II L 80 mt ht. Nos. 9 10.96 2.7 mt 3 Nadi Ty III L 120 mt Nos. 5 10.59 ht. 3.1 mt 4 Embankment cum Nos. 3 4.32 Dugout Pond W.W. L 80 mt 5 Embankment cum Nos. 11 27.50 Dugout Pond W.W. L 120 mt Total 1.4.1 55.91 1.4.2 Non-Arable Production Measure 1 Vegetative Check Dam Rmt 8700 1.16 (VCD) 2 Staggered Trenches Ha. 140 14.79 56 3.34 3 Pasture Development Ha. 20 16.60 30 8.49 Completed Total 1.4.2 32.55 1.5 Drainage Line Treatment 1 Mini percolation tank Nos. 33 17.66 339 269.62 Completed (MPT Ty I) L30 mt ht 2.5 mt 2 Mini percolation tank Nos. 22 25.48 Completed (MPT Ty II) L60 mt 2.9 mt ht 3 Mini percolation tank Nos. 9 7.02 Completed (MPT Ty III) L30 mt 3.9 mt ht
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Cumulative Targets as per Achievements till S. CACP Performance Name of Activity Unit 31.01.2020 No. Narrative Fin (Rs. Fin (Rs. Phy. Phy. Lakh) Lakh) 4 Mini percolation tank Nos. 18 16.03 Completed (MPT Ty V) L40 mt 3.4 mt ht 5 Mini percolation tank Nos. 11 20.49 Completed (MPT Ty VI) L80 mt 3.7 mt ht 6 Mini percolation tank Nos. 21 34.22 Completed (MPT Ty VII) L50 mt 4.1 mt ht 7 Mini percolation tank Nos. 7 10.78 Completed (MPT Ty VIII) L80 mt 3.2 mt ht 8 Mini percolation tank Nos. 59 27.05 Completed (MPT Ty X) L20 mt 3.2 mt ht 9 Embankment cum Nos. 14 7.00 Dugout Pond L 20 mt 10 Embankment cum Nos. 17 10.20 Dugout Pond L 30 mt 11 Embankment cum Nos. 43 43.00 Dugout Pond L 40 mt 12 Embankment cum Nos. 5 6.60 Dugout Pond L 60 mt 13 Embankment cum Nos. 23 39.10 Dugout Pond L 80 mt 14 MMS I (L 8 m) Nos. 12 74.02 19 100.45 Completed 15 MMS II (L 12 m) Nos. 5 48.18 Completed 16 MMS III (L 18 m) Nos. 2 26.80 Completed 17 SSB Nos. 140 11.87 6 2.99 Total D.L.T. 1.5 425.50 Grand Total NRM Measures 849.33 (1.3+1.4+1.5) 1.6 Consolidation of 7.76 Works Total 1 (1.1 to 1.6) 917.44 2 Component 2 : Markets and value chain 3 Component 3 : Farmer Organization & Capacity building 3.1 Community 19.40 Mobilization ,IEC, Group Formation, training, Capacity Building Sub Total 3 19.40 4 Component 4 : Project Management, Monitoring and Learning 4.1 District + PIA Level 20.00 Operating Costs including Photostats, computer typing & printing, fax, mobility (hired taxi/POL), TA/DA etc. Sub Total 4 20.00
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Cumulative Targets as per Achievements till S. CACP Performance Name of Activity Unit 31.01.2020 No. Narrative Fin (Rs. Fin (Rs. Phy. Phy. Lakh) Lakh) Grand Total 956.84 (1+2+3+4)
Table 27 – Details of activities carried out under Watershed Sub component S. Activity Name of Work Village GP Lat Long No 1 ECDP-V Mukesh s/o Hajarilal Sharma Manchi Gunta 27.770113 76.331796 2 ECDP-V Pappu s/o Madharam Harijan Manchi Gunta 27.77444 76.33267 3 ECDP Narayan ke khet pr Manchi Gunta 27.778996 76.336183 4 ECDP Farm pond ke pass me Manchi Gunta 27.772558 76.33261 5 MMS-I Khadan ke pass manchi Manchi Gunta 27.771599 76.33005 Mahanp Mahanp 6 Ramniwas Ke Khet Ke Pass 27.754456 76.315643 MPT-VII ur ur Mahanp Mahanp 7 Prem/Jararam ke khet ke pass 27.756788 76.317931 MMS-I ur ur Mahanp Mahanp 8 Prem/Jararam ke khet ke pass 27.756028 76.317527 MPT-VII ur ur Mahaveer/Suwalal ke khet ke Mahanp Mahanp 9 27.755963 76.317538 MPT-VII pass ur ur Mamchand/Suwalal ke khet ke Mahanp Mahanp 10 27.755862 76.31764 MPT-VII pass ur ur MPT- Mamchand/Suwalal ke khet ke Mahanp Mahanp 11 27.756048 76.316952 VIII pass ur ur Mahanp Mahanp 12 Hanuman ke khet ke pass 27.758635 76.320323 MPT-II ur ur Puran/Bhagwana ke khet ke Meerapu 13 Gunta 27.760261 76.321285 MPT-II pass r Jawararam & Ramavtar ke Meerapu 14 Gunta 27.76017 76.321361 MPT-I khet ke pass r Meerapu 15 Chital wali kholi me Gunta 27.76035 76.321319 MPT-I r Shyoram & Khema ke khet ke Meerapu 16 Gunta 27.761248 76.322004 MPT-V pass r Meerapu 17 Sujaram ke khet ke pass Gunta 27.763514 76.324188 MPT-VII r Baba Bhomiya ke mandir ke Meerapu 18 Gunta 27.764472 76.325069 MPT-I aage kholi ki taraf r Baba Bhomiya ke mandir ke Meerapu 19 Gunta 27.766015 76.327035 MMS-I pass r MPT- Baba Bhomiya ke mandir ke Meerapu 20 Gunta 27.766297 76.326749 VIII pass r Baba Bhomiya ke mandir ke Meerapu 21 Gunta 27.765934 76.32785 MPT-I pass r Mahanp Mahanp 22 Shimbhu ke khet ke pass 27.749291 76.311325 MMS-I ur ur ECDP/Na Mahanp Mahanp 23 Ramniwas ke khet ke pass 27.748088 76.309347 di ur ur Ratiram & Hemraj rawat ke Mahanp 24 Dakla 27.739405 76.325307 MMS-I khet ke pass ur
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S. Activity Name of Work Village GP Lat Long No Doi ki dhani ke niche nale Mahanp Mahanp 25 27.754816 76.31997 MMS-I main ur ur Mahanp 26 Hetram ke khet ke pass Dakla 27.73508 76.31891 MMS-II ur ECDP- Mahaveer master ke khet ke Mahanp Mahanp 27 27.743354 76.307517 VIII pass ur ur ECDP- Mahanp Mahanp 28 27.730484 76.316503 VIII Ramavtar ke khet ke pass ur ur Mahanp 29 Dakla 27.726222 76.315066 Nadi-III Chaju singh ke khet ke pass ur 30 Nadi-III Khadan ke pass kothal kauthal Buteri 27.707193 76.2861 Hanuman ke khet ke pass 31 kauthal Buteri 27.709414 76.28931 ECDP-V (Shamshan ke pass) Sugan chand/ Budharam ke 32 kauthal Buteri 27.716082 76.28285 ECDP-V khet ke pass Ramantar/Jaman Singh ke khet 33 kauthal Buteri 27.71794 76.282585 ECDP-V ke pass Daroto ki dhani- 34 kauthal Buteri 27.708953 76.296417 Nadi-III 1(Kishan/sultan) ECDP- Daroto ki dhani-2(Niranjan s/o 35 kauthal Buteri 27.709021 76.296222 VIII Sataynarayan) ECDP- Mahanp 36 Dakla 27.728326 76.324937 VIII Phoolchand ke khet ke pass ur Ratiram & Hemraj rawat ke Mahanp 37 Dakla 27.728744 76.339307 Nadi-III khet ke pass ur ECDP- Mahanp 38 Dakla 27.734303 76.319493 VIII Ramsawrup ke khet ke pass ur ECDP- Mahanp 39 Dakla 27.728013 76.317108 VIII Ghosala ke pass ur ECDP- Mahanp 40 Dakla 27.734462 76.321475 VIII Birbal ke khet ke pass ur Aalamp Aalamp 41 Shyam Ghoshala ke pass 27.686777 76.26203 MPT-VII ur ur Mangej/Jutha singh ke khet ke Kharkhd Aalamp 42 27.66567 76.2479 MPT-VII pass a ur Bhanwar singh ka khet & Bijli Aalamp Aalamp 43 27.41366 76.15355 MPT-I ke do pol ke pass ur ur Bhanwar singh ke makan ke Aalamp Aalamp 44 27.41512 76.15475 MPT-III pichhe ur ur MPT str. Ke samne wale nale Aalamp Aalamp 45 27.41399 76.15437 MPT-X me ur ur Ravindra ke khet ke pass Kharkhd Aalamp 46 27.663652 76.249425 MPT-VII (School ke niche ki or) a ur Birju ke khet ke pass (camp ke Kharkhd Aalamp 47 27.6635 76.251235 MPT-X piche) a ur Bhojraj singh ke makan ke Aalamp Aalamp 48 27.68751 76.25482 MPT-III piche ur ur Bhimsingh & Hanuman ke Aalamp Aalamp 49 27.685563 76.25398 MPT-X khet ke pass (Near by Tample) ur ur Aalamp Aalamp 50 Raju Banjara ke khet ke pass 27.69023 76.255968 MPT-X ur ur
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S. Activity Name of Work Village GP Lat Long No Kharkhd Aalamp 51 Patram singh ke khet ke pass 27.663035 76.254538 MPT-VII a ur Hanuman & Ramkuwar singh Aalamp Aalamp 52 27.685398 76.255565 MPT-I ke khet ke pass ur ur Kharkhd Aalamp 53 Ranjeet singh ke khet ke pass 27.665935 76.250823 MPT-I a ur shyoram/Ghisaram ke khet ke Kharkhd Aalamp 54 27.665993 76.25407 MPT-V pass a ur Aalamp Aalamp 55 27.690267 76.261718 MPT-X Bavariyo ke makan ke pichhe ur ur 56 ECDP-II Moti/Bhikaram ke khet ke pass Rasnali Rasnali 27.655302 76.24947 57 ECDP-I Moti ke khet ke pass Rasnali Rasnali 27.69292 76.2492 58 ECD Putli walo ke khet ke pass Rasnali Rasnali 27.654337 76.25185 Khiwah 59 Mandir ke pass Rasnali 27.639146 76.259018 ECD edi Heeralal/Laxman ke khet ke 60 Rasnali Rasnali 27.652365 76.25976 ECDP-II pass Khiwah 61 Mandir ke niche ki or Rasnali 27.639872 76.25811 ECDP-V edi Ratan/Sawai singh ke khet ke 62 Rasnali Rasnali 27.657222 76.259083 ECDP-V pass 63 ECDP-V Lalaram/Udmi ke khet ke pass Rasnali Rasnali 27.653 76.261611 Banwari/Chhoturam ke khet ke 64 Rasnali Rasnali 27.657417 76.253278 ECDP-V pass Khiwah 65 Omprakash ke khet ke pass Rasnali 27.640556 76.265528 ECDP-V edi Mahaveer ke khet ke pass Khiwah 66 Rasnali 27.639872 76.25911 ECDP-V (raste ke near) edi Malaram & Prakash ke khet ke Basdaya Basdaya 67 27.632528 76.260944 ECDP-V pass l l Basdaya Basdaya 68 Power grade ke pass 27.626295 76.253593 MPT-II l l Basdaya Basdaya 69 Shamshan ghat ke pass-1 27.625357 76.256085 Nadi-I l l Basdaya Basdaya 70 Shamshan ghat ke pass-2 27.627213 76.249872 MPT-II l l Power grade ke pichhe-1(Gauri Basdaya Basdaya 71 27.624372 76.255671 Nadi-III shankar ke khet ke pass) l l Basdaya Basdaya 72 Power grade ke pichhe-2 27.623842 76.256634 MPT-II l l Power grade ke pichhe- Basdaya Basdaya 73 27.623352 76.256677 Nadi-I 3(khathawala nala) l l Jharkhundiya ke nale par (Arch Basdaya Basdaya 74 27.622548 76.256539 MPT-III wala str.) l l Baskarn Basdaya 75 Dhanka ki Dhani ke pass 27.622295 76.260658 MPT-V awat l Sunil ke ghar ke pichhe ki taraf Baskarn Basdaya 76 27.614764 76.269096 MPT-VI (aage wala str.) awat l Jharkhundiya ke nale me Baskarn Basdaya 77 27.617837 76.287866 MPT-VII (Dharmpal ke khet par) awat l
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S. Activity Name of Work Village GP Lat Long No Khohari Mandir ke niche ki 78 Khohari Khohari 27.615847 76.293124 MMS-II taraf nale me Khohari Mandir ke niche ki 79 Khohari Khohari 27.618563 76.294656 MPT-II taraf nale me Neemuc Neemuc 80 Ghosala ke pichhe 27.607501 76.28288 MPT-II hana hana Ghosala ke pichhe pahad ki Neemuc Neemuc 81 27.60957 76.29882 MPT-V taraf hana hana Lalaram bhavriyo ke khet ke Neemuc Neemuc 82 27.60775 76.28038 MPT-II pass hana hana Neemuc Neemuc 83 Prahlad ki dhani ke pass 27.60768 76.28128 MPT-III hana hana Neemuc Neemuc 84 Karan Singh ke khet ke pass 27.60755 76.28072 MPT-VI hana hana Neemuc Neemuc 85 Gaushala Nale me Sno-1 27.607095 76.284801 MPT-VI hana hana Neemuc Neemuc 86 Gaushala Nale me Sno-2 27.607195 76.285001 MPT-VII hana hana Neemuc Neemuc 87 Gaushala Nale me Sno-3 27.606636 76.288437 MPT-I hana hana Neemuc Neemuc 88 Gaushala Nale me Sno-4 27.606253 76.288995 MPT-V hana hana Neemuc Neemuc 89 Gaushala Nale me Sno-5 27.606407 76.289678 MPT-V hana hana Neemuc Neemuc 90 Gaushala Nale me Sno-6 27.606488 76.290102 MPT-V hana hana Neemuc Neemuc 91 Gaushala Nale me Sno-7 27.605796 76.291841 MPT-X hana hana Baskarn Basdaya 92 School/Camp ke pass-1 27.615004 76.263958 MPT-II awat l Baskarn Basdaya 93 School/Camp ke pass-2 27.614829 76.26521 MPT-VII awat l Baskarn Basdaya 94 School/Camp ke pass-3 27.613628 76.265981 MPT-II awat l Baskarn Basdaya 95 Kyaliram ke khet pr 27.613499 76.266664 MPT-X awat l Baskarn Basdaya 96 Subhash ke khet ke pass 27.616646 76.267809 Nadi-II awat l 97 MPT-V Suraj/kanha ke khet pr Khohari Khohari 27.617268 76.291907 98 MMS-II Dhandhora dham ke nale mai Khohari Khohari 27.615853 76.293105 Neemuc Neemuc 99 Sarpanch ke ghar ke piche 27.601339 76.275435 ECDP-V hana hana Neemuc Neemuc 100 Khutiya wala nale me 27.59752 76.268893 ECDP-V hana hana Neemuc Neemuc 101 Deelip/Hajari ke khet ke pass 27.593764 76.266002 ECDP-V hana hana ECDP- Gaurishankar/Omdaram ke Neemuc Neemuc 102 27.593955 76.266691 VIII khet ke pass hana hana Vikram/Govind ke khet ke Neemuc Neemuc 103 27.592686 76.26546 ECDP-V pass hana hana Bhopal / Sarjeet singh ke khet Mana ki Neemuc 104 27.59269 76.25711 MPT-VII ke pass dhani hana
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S. Activity Name of Work Village GP Lat Long No Hanuman / Birdu singh ke khet Mana ki Neemuc 105 27.591724 76.260992 NADI-III ke pass dhani hana Subesingh / Sarjeet singh Mana ki Neemuc 106 27.591405 76.260042 NADI-II (triyawali nala) dhani hana Heera / Bhura singh ke khet ke Mana ki Neemuc 107 27.589846 76.259957 MPT-II pass dhani hana Durjan / Prahalad singh ke Mana ki Neemuc 108 27.589721 76.256867 MPT-VI khet ke pass dhani hana Dolat singh / Hari singh ke Mana ki Neemuc 109 27.590371 76.257459 MPT-VII khet ke pass dhani hana Mahendra / Hanuman Singh ke Mana ki Neemuc 110 27.59046 76.257481 NADI-II khet ke pass dhani hana Chiranjeev / Bhur singh ke Mana ki Neemuc 111 27.5941 76.257003 NADI-II khet ke pass dhani hana Kamal / Ramji lal ke khet ke Mana ki Neemuc 112 27.594074 76.258476 MPT-II pass dhani hana Ramji lal / Manna lal ke khet Mana ki Neemuc 113 27.595089 76.258866 MPT-III ke pass dhani hana Ratan / Topsingh ke khet ke Lala ki Gyanpur 114 27.584694 76.259365 MPT-V pass dhani a MPT- Lala / Mulla Jangal ke khet ke Lala ki Gyanpur 115 27.584747 76.260268 VIII pass dhani a Bhom singh / Kan singh ke Lala ki Gyanpur 116 27.584205 76.257218 MPT-II khet ke pass dhani a Bastaram meena ke khet ke Meena Neemuc 117 27.58114 76.25556 MPT-V pass ki dhani hana Lala ki Gyanpur 118 27.581411 76.25711 SSB-CD Lala ki dhani ( 5 m) dhani a Lala ki Gyanpur 119 27.581856 76.2585 SSB-CD Lala ki dhani (7 m) dhani a Gyanpur 120 Burja 27.689095 76.25936 MPT-I Hemraj ke khet ke pass a Gyanpur 121 Burja 27.690277 76.258415 MPT-I Jagram ke khet ke pass a Gyanpur 122 Burja 27.690369 76.25834 MPT-II Heeralal ke khet ke pass a Gyanpur 123 Hariram/kishor ke khet ke pass Burja 27.557123 76.289791 MPT-II a Mangatram bavriyo ke khet ke Gyanpur 124 Burja 27.567226 76.278982 MPT-III pass a Phuti Dai ke nale ke right side Gyanpur 125 Burja 27.565973 76.273456 MPT-I me a Gyanpur 126 Hajari G ke khet ke pass Burja 27.567229 76.273382 MPT-X a Gyanpur 127 Jagram ke khet ke pass Burja 27.568594 76.26613 MMS-I a Gyanpur 128 Rajaram ke khet ke pass Burja 27.568695 76.26614 Nadi-III a Narega Bandh ke aage purab Gyanpur 129 Burja 27.565609 76.274132 MPT-V me (Krishan G ke khet ke pass) a MPT- Gyanpur 130 Rajaram ke makan ke left me Burja 27.569012 76.270481 VIII a
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S. Activity Name of Work Village GP Lat Long No Gyanpur 131 Sardar singh ke khet ke pass Burja 27.565048 76.270275 MPT-VII a Devkaran ke khet ke pass Gyanpur 132 Burja 27.57093 76.276842 MPT-X (Str.2) a Gyanpur 133 Rakesh ke khet ke pass (Str.4) Burja 27.568298 76.273327 MPT-I a Gyanpur 134 Hajari G ke khet ke pass Burja 27.56464 76.278528 MPT a Gyanpur 135 Surjram ke khet pr Burja 27.565027 76.270339 MPT a Gyanpur 136 Kanha ram ke khet pr Burja 27.56364 76.279212 MPT a Gyanpur 137 Jagram ke ghar ke samne Burja 27.568524 76.264777 MMS-I a Shyamp Shyamp 138 Vikram/sadhu ke khet ke pass ura(Khe 27.671923 76.297751 ura ECD da) Shyamp Shyamp 139 Aannlal/Indraj ke khet ke pass ura(Khe 27.672232 76.29573 ura ECD da) Shyamp Shyamp 140 ECDP- Khajuram ke khet ke pass ura(Khe 27.672373 76.29314 ura VIII da) Shyamp Shyamp 141 ECDP- Sukharam ke khet ke pass ura(Khe 27.673025 76.29186 ura VIII da) Shyamp Matadeen/Sabraram ke khet ke Shyamp 142 ECDP- ura 27.40352 76.18141 pass ura VIII (Kheda) Shyamp Shyamp 143 ECDP- Vikram/sadhu ke khet ke pass ura 27.40366 76.18078 ura VIII (Kheda) Shyamp Palaram/Roshan ke khet ke Shyamp 144 ura 27.673503 76.294894 pass ura ECDP-X (Kheda) ECDP- Suresh/Leelaram ke khet ke Shyamp Shyamp 145 27.672775 76.303444 VIII pass-1 ura ura ECDP- Suresh/Leelaram ke khet ke Shyamp Shyamp 146 27.651337 76.306305 VIII pass-2 ura ura ECDP- Suresh/Leelaram ke khet ke Shyamp Shyamp 147 27.652184 76.30565 VIII pass-3 ura ura Shyamp Kasu ki Dhani ( School ke pass Shyamp 148 ECDP- ura 27.67089 76.30063 ) ura VIII (Kheda) Shyamp Dharm singh ke khet ke pass Shyamp 149 ura 27.672222 76.29574 (Near Handpump) ura ECDP-II (Kheda) Shyamp Matadeen/Sabraram ke khet ke Shyamp 150 ura 27.672389 76.293147 pass(Near Ghoshala) ura ECDP-V (Kheda) 151 ECDP-V Surjan yadav ke khet ke pass-1 Khohari Khohari 27.624008 76.306985 152 Nadi-III Surjan yadav ke khet ke pass-2 Khohari Khohari 27.625069 76.30768
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S. Activity Name of Work Village GP Lat Long No 153 Nadi-III Surjan yadav ke khet ke pass-3 Khohari Khohari 27.624482 76.30712 154 Nadi-III Surjan yadav ke khet ke pass-4 Khohari Khohari 27.623884 76.30693 ECDP- 155 Khohari Khohari 27.623388 76.30611 VIII Surjan yadav ke khet ke pass-5 156 ECDP-II Dhandhora dham ke pass-1 Khohari Khohari 27.621829 76.304284 157 ECDP-II Dhandhora dham ke pass-2 Khohari Khohari 27.621023 76.303998 158 Nadi-III Meena ke khet ke pass Khohari Khohari 27.630475 76.303649 159 ECDP-I Meena ke khet ke raste ke pass Indrana Girudi 27.632318 76.304496 160 ECDP-I Khadan ke pass Indrana Girudi 27.633818 76.304765 161 Nadi-II Pahari ke pass Indrana Girudi 27.632442 76.307719 162 ECDP-V Pahari ke pass-2 Indrana Girudi 27.633481 76.308458 163 ECDP-V Pahari ke pass-3 Indrana Girudi 27.634084 76.309243 164 Nadi-III Baba Nilkanth Mandir ke pass Khohari Khohari 27.613965 76.312024 165 ECDP-V Katte wala Str. Khodiya Gadi 27.591654 76.329624 166 Nadi-II Sawami ki dhani-1 Khohari Khohari 27.598772 76.328736 167 Nadi-II Sawami ki dhani-2 Khohari Khohari 27.598842 76.329004 Baldayala me sawai chak ke 168 Khodiya Gadi 27.59144 76.33177 ECDP-II nale me-1 Arch wala Str. (Chamar ki 169 Khodiya Gadi 27.589978 76.330796 ECDP-I dhani ke nichhe) 170 ECDP-I Mandir ke pass Khohari Khohari 27.609734 76.311988 171 RCWW Ramniwas ke khet ke pr khothiya Gadi 27.581728 76.311988 ECDP- Kanguw 172 Narega Johad ke pass Holawas 27.626516 76.354305 VIII ali ECDP- Kanguw 173 Bavriyo ke niche Holawas 27.622983 76.35995 VIII ali ECDP- Kanguw 174 Bavriyo ke makan ke pass Holawas 27.624422 76.359601 VIII ali ECDP- Kanguw 175 Kachhe raste par Holawas 27.624413 76.358592 VIII ali ECDP- Handpump ke pass (Near Kanguw 176 Holawas 27.62708 76.35155 VIII School) ali 177 MMS-III Deelip ke ghar ke pass Basna Holawas 27.604523 76.356247 178 MMS-II Badri/Baluram ke khet ke pass Bilath Holawas 27.584483 76.349896 Raghuveer/Sagraram ke khet 179 Bisalu Lekri 27.614458 76.362874 MMS-II ke pass (Forest Boundary) 180 MMS-II Narendra ke khet ke pass Bilath Holawas 27.58942 76.35173 181 MMS-I Sawai singh ke khet ke pass Bilath Holawas 27.594037 76.352313 Baba Bhomiya mandir ke 182 Basna Holawas 27.608922 76.357436 MMS-III pichhe 183 ECDP-V Sawai singh ke khet ke pass Basna Holawas 27.595176 76.354104
Snapshots of Watershed Development activities
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4. ACCOMPLISHMENTS
4.1 AGRICULTURE COMPONENT
Sustainable agriculture and horticulture programs: -With the motive of raise in income and yield per hectare RACP team has conducted various trainings and awareness generation programs in the project area. Rajasthan Agricultural Competitiveness Project having primary focus on development of farmers through technology adoption, promotion of agriculture technologies and raise in production and productivity of crops.
Table 28 –Estimate the Total Percentage (%) of Work Completed under major activities on the Project S. No. Name of Interventions Unit Achievement % Relevance to objective Phy. Fin. 1 Component 1 : Climate Resilient Agriculture 1A Sub Component 1A: Improved water use efficiency (Micro Irrigation (MI) based technology) 1A-4 Mini/ Micro Sprinkler ha 142.68 80.89 In consultation with farmers and success Irrigation System stories of the cluster - 1. Reduction in water used in agriculture by 51% per Ha in wheat crop - (2592000 lt./ha Water required in Flood Irrigation while with use of Mini/Micro Sprinkler, only 1263600 lt./ha consumed) 2. As a result power consumption and 1A-5 Sprinkler Irrigation ha 97.88 41.32 labour cost also reduced. System 3. Farmer Income increased by 40% as the quality of grains (shine, size and weight) improved and maturity time reduced 4. Productivity increased by 30% as assured irrigation confirmed and irrigation area increased without increase in water demand. 5. About 10% area provided with new /improved irrigation
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S. No. Name of Interventions Unit Achievement % Relevance to objective Phy. Fin. 6. Gross margin from crop increased by 35% and quality index of life has been improved. 1A-6 Pipeline for piped 100 310.22 3.64 The conveyance loss in flood irrigation conveyance of mtr and leaching reduced by 20% and crop irrigation water area increased by 10-15% Farm Pond No. 1B Sub Component 1B: Technology transfer and market led advisory services (Promoting Adoption and Documentation of Improved Technologies) 1 Soil Testing Nos. 23.52 56.74 Created awareness among the farmers about the index of nutrient available in soil and accordingly recommended Packages of practice for particular crops in their field. Which resulted reduction in expenses of manure and fertilizers and improved the grain quality Soil testing based application of nutrients promoted in the area to maintain soil fertility and increase crop productivity 2 Demonstrations on Ha 142.86 67.59 Mustard, Millet & Barley like high payoff production technologies and reduced water foot print crops for value chain crops to demonstrated of the crop. bridge gap 1. The cropped area of Mustard increased by 6.37% in comparison to 2952.5 ha in 2015-16 likewise Barley increased by 45.23% in comparison to 373.73 Ha in 2015-16 2. Barley crop area increased much in year 2019-20, due to new beer factory started in Gurugram which is near to cluster area. 3. Crop Diversification to low water requiring crops like Mustard, Millet and Barley from Wheat 3 Demonstrations on farm Nos. 116.67 38.73 The production cost reduced by 15-20% as mechanisation and PHM drudgery reduced and Field operations like technologies ploughing, harvesting, weeding and threshing are taking place on time Due to farm level drying, cleaning, grading and post-harvest management of the harvested produce, improved farm efficiency and reduction in chemical weedicides, the cost of crop cultivation reduced and gross margin increased. 4 Demonstrations on Ha 52.78 31.53 Improvement in fodder crop, promotion of forage/ fodder new and high yield fodder varieties, milk production increased and ultimately livelihood status also improved 5a 1. Promotion to seed Ha 11.15 6.65 Due to lack of RSSC /NSC unit in cluster area, production seed production not so much taken place in cluster area 5b 2. Promotion to Ha 16.92 2.46 As per farmers consultation, more than 70% Adaption support farmers are using certified seed in crop production
6 Innovative activities/ No. 0.00 0.00 Due to poor services of vendor in cluster, INM/ IPM INM/IPM activities not taken place as anticipated 2 Component 2 : Markets and Value Chains
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S. No. Name of Interventions Unit Achievement % Relevance to objective Phy. Fin. 3 Component 3 : Farmer organization and capacity building 1 Field days, exposure L.S. 80 85.31 Farmers has become aware about the advanced visits, orientation, farm technologies with the help of field days, capacity building farmers also learnt about the knowledge-based crop production, adoption of new technologies, proper management and utilization of natural resource, packages and practices of crop cultivation for increased production and productivity, crop diversification, promotion of water efficient crops, post harvesting management and marketing innovations etc. 2A Sub Component 2A: Agri-Business Promotion Facility 2A-1 Status of FPC FPC/FPO Nos. 50 50 To provide market facilities in nearby the cluster, two FPC has been registered, both the FPCs are having well established office and they have started their business.
4.2 HORTICULTURE COMPONENT
To increase the vegetable area and optimum utilization of water resources horticulture department have provided many trainings and orientation programmes to field beneficiaries.
Table 29 –Estimation on total percentage (%) of work completed under the major activities of the project - S. No. Name of Interventions Unit Achievement % Relevance to objective Phy. Fin I. Component 1: Climate Resilient Agriculture IB Sub Component 1B: Technology transfer and market led advisory services 1 Promoting Adoption and Documentation of Improved Technologies i. Assistance on production technologies for Fruit Cultivation 1 A. Wide spacing crops with Ha Farmers got aware and informed about inter cropping the benefits of cultivation of fruit crop First year Maintenance Ha / cash crop with integrated farming 23.11 support system but as stated above farmers prefer vegetable cultivation more Second year Maintenance Ha support 11.03 2 B. High density plantations Ha First year Maintenance Ha support 41.59 Second year Maintenance Ha support 3 Assistance on production Ha 166.92 76.28 In consultation with farmers and technologies for vegetable success stories of the cluster - Cultivation 1. Reduction in water used in horticulture by 30% per Ha in vegetable cultivation - (8640000 lt./ha Water required in Flood Irrigation while with use of drip irrigation, only 6000000 lt./ha consumed) 2. As a result power consumption and labour cost also reduced. 3. Farmer Income increased by 30% as the quality of vegetables improved and maturity time reduced
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S. No. Name of Interventions Unit Achievement % Relevance to objective Phy. Fin 4. Gross margin from vegetable cultivation, increased by 30% and quality index of life has been improved. Also the target has been achieved within financial allocation due to less rate quoted by vendors 4 Assistance on green house SqM 106.85 59.24 With the help of green house, farmers are getting three crops in a year and can cultivate vegetables in off season, by the same getting high remunerations (gross margin increased by 40%). 5 Assistance on shade net house SqM 50.00 24.58 Employment opportunities also increased. Farmers also learnt about the crop cultivation in controlled environment Also the target has been achieved within financial allocation due to less rate quoted by vendors 6 Solar Pump Program Nos 193.33 63.00 Timely irrigation in crops. Savings in the cost of diesel / electricity. Farmers are irrigating crops during the day time which prevents from night accidents related to irrigation. Prevent the risk during night irrigation. Promotion of eco-friendly environment. 7 Horticulture Mechanization Nos 40.49 Crop cultivation cost and use of chemicals has reduced, farm efficiency has increased III Farmer's Organization and Capacity Building 1 2 days Farmer's training (50 Nos 41.58 Awareness for adoption of farmers in each) knowledge-based crop production has increased, exposure of modern packages and practices of crop 2 Exposure visit for 50 farmers Nos. cultivation has increased crop for 5 days production and productivity, diversification with cash crop/high value crop, promotion of water 3 Seminar for 100 participants Nos. efficient crops, ultimately increased for 2 days farmer’s incomes and improved livelihood status of community.
4.3 SMALL RUMINANT COMPONENT
Table 30 –Estimation on total percentage (%) of work completed under the major activities of the project - S. Name of Interventions Unit Achievement % Relevance to objective No. Phy. Fin I. Climate Resilient Agriculture 1 C Livestock Strengthening and Management 1 Distribution of bucks (farmers) No. 100.00 66.56
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S. Name of Interventions Unit Achievement % Relevance to objective No. Phy. Fin 2 Distribution of goats (widows No 95.33 95.10 With due consultation and & disabled) (one unit of 4 success stories goats) 1. Weight of Baby goat 3 Goat insurance (8% per No. 96.32 96.30 increased from 1.5 - 2.0 Kg to annum) of units receiving 2.5-3.0 Kg due to High quality improved bucks and does Jamnapari breed bucks 2. Weight of goats increased from 15-17 Kg to 20 kg at the time of sell 3. Quantity of milk and flesh also improved 4. Provided handy daily income to Widows and/or specially abled women for livelihood development 5. Social security of women increased. 6. Livestock risk has been covered, the risk coverage of small ruminant is now 100% 4 Veterinary Health Camp No 100.00 196.03 Strong linkage developed support (one camp Per GP Per between the community and month) animal husbandry institutes for providing quality health care services, preventions and control of seasonal diseases, reduction in medical expenses of livestock, livestock rearing increased Note: Fin. Expenditure included Health Camp, Honorarium of LLW and vehicle for emergency animal health care services as per IUFR 5 Establishment of regional Cancelled in context of non- technology center (RTC) requirement later i A- grade No. ii B- grade No. 6 Vehicle for emergency animal No. 100 -* Availability of animal health health services services on door step 7 Operating cost of RTC No. *Fin. Exp. Included above including POL for Vehicle 8 Link worker/MF honorarium No. (One per Gram Panchayat ) 9 Azolla demonstration Nos 100.00 94.02 Provided a sustainable feed for livestock Availability of green and nutritious fodder, awareness about supplementary feed to increase milk production, reduction on expenses incurred in purchase of quality fodder Reduction in drudgery among women 10 Housing supports No. 9 11.33 Livestock is secured from harsh and uneven climate as well as from environmental stress,
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S. Name of Interventions Unit Achievement % Relevance to objective No. Phy. Fin better sanitation and healthy living situations 11 Feeding and water troughs No. 93.75 75.85 Prevent the wastage of fodder distribution and contamination of feed Provided clean and safe drinking water mainly to goats Livestock Health care expenses reduced. 12 Travis installation in project Nos 113.51 112.79* Preventing from any injury villages (one per village) during treatment *Due to demand from community more travis installed 13 Distribution of chaff cutter Nos 131.25 111.78 Mainly it reduces drudgery and increases quality of life especially of women farmers, 25 to 35 percent fodder saved with the help of chaff cutter, improved digestion of livestock 15 Weighing balance No. 92.13 103.33 Selling cost of bucks has been increased (due the accurate weighing of bucks), income from livestock has increased. Women rarer got aware about the weight gain of animals for supporting the right quantity of feed intake 16 Feed supplement distribution No. 200.00 136.11 Improvement in health status of animals, milk and meat production increased II Market & Value Chain 1 Formation of MTG (goat) No. 100 To strengthen the CBOs and 100 MTG has been formed which aims to women empowerment 2 Clean milk production No. 100.00 170.60 Milk protected from infections, mastitis and harmful bacteria, hygienic situations for milk collection III Farmers Organization & capacity Building 1 MTG members Goat No. Generated awareness about the Management scientific technologies of goat 2 MTG members Refresher Goat No. rearing and business plan among Management the MTG members 3 LLW training No. 4 Professional staff training No. 5 Goat Exhibition/Seminar No.
4.4 WATERSHED DEVELOPMENT COMPONENT
Table 31 –Estimation on total percentage (%) of work completed under the major activities of the project - S. No. Name of Activity Achievement % Objective of Relevance to Activity Objective Phy Financial PAGE 57 OF 118 ARPAN SEVA SANSTHAN
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1.3 Activities on arable
land 1.3.1 Arable Conservation Measure 1 Contour Bund Type 100 106.1529 Contour bunds are A constructed to check soil erosion, reduced velocity of rain fall, increase in infiltration rate of water and moisture conservation 2 Peripheral Bund 159.061 116.8883 Peripheral Bund aims to stabilize the banks of Reduce and prevent drains/nallah soil erosion, retain along with soil moisture, agricultural land, cultivable land and to prevent soil crop area increased, erosion cropping pattern 3 Field Bund 132.0829 83.4285 Contour bunds are changed, increase constructed to crop production. check soil erosion, reduced velocity of rain fall, increase in infiltration rate of water and moisture conservation 4 Pacca Waste Weir 22.22222 15.4321 To preserve excess runoff water and 5 Rump Cum Waste 1.388889 1.350309 to recharge the weir water resources 6 Earthen check dam 57.14286 74.87685 1.3.2 Arable Production Measure 1 Agro Forestry 8.457511 5.461394 To satisfy local consumption needs and generate additional income, while sustaining agricultural productivity and maintaining ecological stability. 1.4 ACTIVITIES ON NON ARABLE LANDS
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1.4.1 Non-Arable Conservation Measure 1 Nadi Ty I L 50 mt ht. To harvest and Water resources 2.5 mt infiltrate runoff getting recharge, 2 Nadi Ty II L 80 mt water in drainage availability of water 191.1997 ht. 2.7 mt 194.1176 line for irrigation and drinking purpose 3 Nadi Ty III L 120 mt ht. 3.1 mt 1.4.2 Non-Arable Production Measure 1 Staggered Trenches 40 22.58283 To reduce the Reduce and prevent velocity of runoff soil erosion, helps in in drainage line retention of soil moisture. Cultivable land and cropping area increased, change in cropping pattern, soil fertility improved 2 Pasture Development 150 51.14458 To prevent free Community has grazing and motivated for plantation work development of pasture land 1.5 Drainage Line Treatment 1 Mini percolation tank 188.33 169.86 MPT (Mini Water resources (MPT Ty I) L30 mt ht percolation tank) getting recharge, 2.5 mt constructed to availability of water harvest and for irrigation and 2 Mini percolation tank infiltrate runoff drinking purpose (MPT Ty II) L60 mt water in drainage 2.9 mt ht line 3 Mini percolation tank (MPT Ty III) L30 mt 3.9 mt ht 4 Mini percolation tank (MPT Ty V) L40 mt 3.4 mt ht 5 Mini percolation tank (MPT Ty VI) L80 mt 3.7 mt ht 6 Mini percolation tank (MPT Ty VII) L50 mt 4.1 mt ht 7 Mini percolation tank (MPT Ty VIII) L80 mt 3.2 mt ht 8 Mini percolation tank (MPT Ty X) L20 mt 3.2 mt ht
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14 MMS I (L 8 m) 100 67.41611 To reduce excess Water Storage , runoff and Water resources are intensity of water getting recharge, 15 MMS II (L 12 m) flow. availability of drinking water for 16 MMS III (L 18 m) human as well as animals, irrigation 17 SSB 4.285714 25.18955 area increased, production increased
5. SOCIAL INCLUSION (Component & Activity wise) To avoid/minimize risks, avoid exacerbation of social and economic disparities between and among social groups, ensure equitable spread of project investments and benefits, and contribute to long-term social and institutional sustainability of the RACP, entire interventions implemented in the cluster under RACP were primarily focused on involving all small and marginal farmers, women farmers, tribal farmers and scheduled caste farmers. The same has been tabulated Component & Activity wise as under –
5.1 Agriculture
Table 32 –Activity wise social inclusion under Agriculture Component -
Name of Farmer SC ST OBC GEN Total Interventions Type M F M F M F M F M F Tot. Drip Irrigation Mar. 0 0 1 0 2 1 0 0 3 1 4 System (4) Small 0 0 0 0 0 0 0 0 0 0 0 Medium 0 0 0 0 0 0 0 0 0 0 0 Large 0 0 0 0 0 0 0 0 0 0 0 Total 0 0 1 0 2 1 0 0 3 1 4 Mini/ Micro Mar. 12 3 4 1 85 8 6 2 107 14 121 Sprinkler Small Irrigation System 3 0 0 0 22 7 3 2 28 9 37 (176) Medium 0 0 0 0 0 0 1 0 1 0 1 Large 1 0 0 0 13 0 3 0 17 0 17 Total 16 3 4 1 120 15 13 4 153 23 176 Sprinkler Mar. 65 11 13 7 642 61 63 30 783 109 892 Irrigation System Small (1336) 15 8 3 2 192 32 22 10 232 52 284 Medium 0 0 0 0 0 5 16 0 16 5 21 Large 2 3 0 0 71 27 34 2 107 32 139 Total 113 82 22 16 9 905 125 135 42 198 1336 8 Pipeline for piped Mar. 10 3 8 0 102 29 8 4 128 36 164 conveyance of Small irrigation water 8 1 2 1 42 16 7 6 59 24 83 (290) Medium 0 0 0 0 16 0 0 0 16 0 16 Large 0 0 2 0 25 0 0 0 27 0 27 Total 18 4 12 1 185 45 15 10 230 60 290 Soil Testing (400) Mar. 23 0 6 0 135 12 44 6 208 18 226 Small 10 5 5 2 39 10 10 5 64 22 86 Medium 7 0 2 0 22 1 2 1 33 2 35
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Name of Farmer SC ST OBC GEN Total Interventions Type M F M F M F M F M F Tot. Large 0 0 0 0 44 2 4 3 48 5 53 Total 40 5 13 2 240 25 60 15 353 47 400 Demonstrations on Mar. 131 201 198 16 78 8 342 421 29 395 2408 production 6 3 technologies for Small 77 12 44 7 498 132 206 10 825 161 986 value chain crops Medium to bridge gap 10 5 16 2 178 50 78 3 282 60 342 (3933) Large 21 7 12 0 108 9 35 5 176 21 197 Total 210 329 306 40 150 17 533 740 47 637 3933 0 6 Demonstrations on Mar. 65 6 8 1 681 82 93 11 847 100 947 farm Small mechanisation and 22 4 7 2 234 10 97 9 360 25 385 PHM technologies Medium 3 1 3 0 22 9 25 3 53 13 66 (1460) Large 5 2 2 0 41 0 10 2 58 4 62 Total 131 95 13 20 3 978 101 225 25 142 1460 8 Demonstrations on Mar. 41 6 7 0 359 32 92 5 499 43 542 forage/ fodder Small (950) 32 8 8 1 216 35 47 6 303 50 353 Medium 5 0 0 0 26 2 1 0 32 2 34 Large 3 2 0 0 14 1 1 0 18 3 21 Total 81 16 15 1 615 70 141 11 852 98 950 1. Promotion to Mar. 0 0 0 0 2 0 0 0 2 0 2 seed production Small (24) 3 0 0 0 10 1 8 0 21 1 22 Medium 0 0 0 0 0 0 0 0 0 0 0 Large 0 0 0 0 0 0 0 0 0 0 0 Total 3 0 0 0 12 1 8 0 23 1 24 Promotion to Mar. 8 0 0 0 42 0 10 0 60 0 60 Adaption support Small (130) 2 1 5 0 39 2 9 2 55 5 60 Medium 0 0 0 0 5 0 2 0 7 0 7 Large 0 0 0 0 3 0 0 0 3 0 3 Total 10 1 5 0 89 2 21 2 125 5 130 Farm Pond (1) Mar. 0 0 0 0 0 0 0 0 0 0 0 Small 0 0 0 0 0 0 0 0 0 0 0 Medium 0 0 0 0 0 0 0 0 0 0 0 Large 1 0 0 0 0 0 0 0 1 0 1 Total 1 0 0 0 0 0 0 0 1 0 1 Grand 652 104 236 34 5246 918 1358 156 7492 1212 8704 Total Above table clearly reveals that about 8.7% beneficiary are from SC community, 3.1 % of ST community, 70.8% from OBC community while 17.4 % from General community, like wise about 13.9 % Female farmers were benefitted through different interventions under Agriculture Sub component. Likewise social inclusion of land holding wise farmers such as Small, Marginal and medium farmers were also considered during Beneficiary Targeting as 61.6% Marginal, 26.4 % Small, and 6% Medium farmers were benefitted.
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5.2 Horticulture
Table 33 –Activity wise social inclusion under Horticulture Component - Name of Farmer SC ST OBC GEN Total Interventions Type M F M F M F M F M F Tot. wide spacing Mar. 3 0 0 0 18 0 2 0 23 0 23 crop with inter Small cropping, High 7 2 0 0 15 11 4 0 26 13 39 density Medium 0 0 0 0 0 0 0 0 0 0 0 plantation (71) Large 2 0 0 0 5 1 1 0 8 1 9 Total 12 2 0 0 38 12 7 0 57 14 71 Assistance on Mar. 2 0 0 0 40 3 5 2 47 5 52 production Small technology for 5 2 0 0 60 10 6 0 71 12 83 Medium vegetable 0 0 0 0 0 0 0 0 0 0 0 cultivation (159) Large 2 0 0 0 16 2 4 0 22 2 24 Total 9 2 0 0 116 15 15 2 140 19 159 Assistance on Mar. 0 0 0 0 0 0 0 0 0 0 0 green house (15) Small 0 1 0 0 9 4 0 0 9 5 14 Medium 0 0 0 0 0 0 0 0 0 0 0 Large 0 0 0 0 1 0 0 0 1 0 1 Total 0 1 0 0 10 4 0 0 10 5 15 Assistance on Mar. 0 0 0 0 0 0 0 0 0 0 0 Shed Net house Small (1) 0 0 0 0 0 0 1 0 1 0 1 Medium 0 0 0 0 0 0 0 0 0 0 0 Large 0 0 0 0 0 0 0 0 0 0 0 Total 0 0 0 0 0 0 1 0 1 0 1 solar pump Mar. 2 1 1 0 12 0 0 0 15 1 16 program (71) Small 1 0 0 0 38 5 9 0 48 5 53 Medium 0 0 0 0 0 0 0 0 0 0 0 Large 0 0 0 0 2 0 0 0 2 0 2 Total 3 1 1 0 52 5 9 0 65 6 71 Post-Harvest Mar. 10 2 0 0 86 8 12 0 108 10 118 Management Small (183) 5 0 2 0 30 8 11 0 48 8 56 Medium 0 0 0 1 0 0 0 0 0 1 1 Large 0 0 0 0 8 0 0 0 8 0 8 Total 15 2 2 1 124 16 23 0 164 19 183 Horticulture Mar. 0 0 0 0 4 1 2 0 6 1 7 Mechanization Small (18) 0 0 0 0 5 0 0 0 5 0 5 Medium 0 0 0 0 0 0 0 0 0 0 0 Large 0 0 0 0 6 0 0 0 6 0 6 Total 0 0 0 0 15 1 2 0 17 1 18 Inset solar Trap Mar. 3 2 0 0 40 8 0 0 43 10 53 (66) Small 0 0 0 0 4 3 6 0 10 3 13 Medium 0 0 0 0 0 0 0 0 0 0 0 Large 0 0 0 0 0 0 0 0 0 0 0 Total 3 2 0 0 44 11 6 0 53 13 66 Vermi Compost Mar. 0 0 0 0 10 3 1 0 11 3 14 Modal-B (16) Small 0 0 0 0 2 0 0 0 2 0 2
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Name of Farmer SC ST OBC GEN Total Interventions Type M F M F M F M F M F Tot. Medium 0 0 0 0 0 0 0 0 0 0 0 Large 0 0 0 0 0 0 0 0 0 0 0 Total 0 0 0 0 12 3 1 0 13 3 16 Grand Total 42 10 3 1 411 67 64 2 520 80 600
Above table clearly reveals that about 8.7% beneficiary are from SC community, 0.7 % of ST community, 79.7% from OBC community while 11 % from General community, like wise about 13.3 % Female farmers were benefitted through different interventions under Horticulture Sub component.
Likewise social inclusion of land holding wise farmers such as Small, Marginal and medium farmers were also considered during Beneficiary Targeting as 47.2% Marginal, 44.3 % Small, and 0.2% Medium farmers were benefitted.
5.3 Livestock (Small Ruminant)
Table 34 –Activity wise social inclusion under Small Ruminant Component -
Name of Beneficiar SC ST OBC GEN Total Interventions y Type M F M F M F M F M F Tot. Clean Milk Mar. 195 215 63 72 586 630 174 196 1018 1113 2131 production Kit Small (3000) 63 50 10 22 97 152 102 132 272 356 628 Medium 12 15 3 0 13 23 7 9 35 47 82 Landless 0 20 7 3 54 35 22 18 83 76 159 Total 270 300 83 97 750 840 305 355 1408 1592 3000 DISTRIBUTION Mar. 0 45 0 20 0 130 0 68 0 263 263 OF BUCKS Small (FARMERS) 0 11 0 2 0 21 0 23 0 57 57 (320) Medium 0 0 0 0 0 0 0 0 0 0 0 Landless 0 0 0 0 0 0 0 0 0 0 0 Total 0 56 0 22 0 151 0 91 0 320 320 DISTRIBUTION Mar. 0 63 0 19 0 119 0 77 0 278 278 OF GOATS Small (WIDOWS & 0 0 0 0 0 0 0 0 0 0 0 DISABLED) Medium 0 0 0 0 0 0 0 0 0 0 0 (286) Landless 0 3 0 2 0 1 0 2 0 8 8 Total 0 66 0 21 0 120 0 79 0 286 286 Azolla Mar. 0 218 0 56 0 322 0 182 0 778 778 Demonstration Small (800) 0 0 0 0 0 0 0 0 0 0 0 Medium 0 0 0 0 0 0 0 0 0 0 0 Landless 0 6 0 8 0 6 0 2 0 22 22 Total 0 224 0 64 0 328 0 184 0 800 800 HOUSING Mar. 0 2 0 0 0 3 0 0 0 5 5 SUPPORTS (9) Small 0 0 0 0 0 3 0 1 0 4 4 Medium 0 0 0 0 0 0 0 0 0 0 0 Landless 0 0 0 0 0 0 0 0 0 0 0 Total 0 2 0 0 0 6 0 1 0 9 9
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Name of Beneficiar SC ST OBC GEN Total Interventions y Type M F M F M F M F M F Tot. FEEDING & Mar. 0 190 0 40 0 332 0 166 0 728 728 water Small TROUGHS 0 0 0 0 0 0 0 0 0 0 0 DISTRIBUTION Medium 0 0 0 0 0 0 0 0 0 0 0 (750) Landless 0 8 0 8 0 4 0 2 0 22 22 Total 0 198 0 48 0 336 0 168 0 750 750 DISTRIBUTION Mar. 0 250 0 50 0 459 0 232 0 991 991 OF CHAFF Small CUTTER (1050) 0 0 0 0 0 0 0 0 0 0 0 Medium 0 0 0 0 0 0 0 0 0 0 0 Landless 0 21 0 14 0 18 0 6 0 59 59 Total 0 271 0 64 0 477 0 238 0 1050 1050 Weighing Mar. 0 385 0 70 0 600 0 285 0 1340 1340 Balance (1382) Small 0 0 0 0 0 0 0 0 0 0 0 Medium 0 0 0 0 0 0 0 0 0 0 0 Landless 0 11 0 9 0 18 0 4 0 42 42 Total 0 396 0 79 0 618 0 289 0 1382 1382 Grand Total 270 1513 83 395 750 2876 305 1405 1408 6189 7597
Above table clearly reveals that about 23.5% beneficiary are from SC community, 6.3 % of ST community, 47.7% from OBC community while 22.5 % from General community, like wise about 81.5% Female farmers were benefitted through different interventions under Livestock Sub component.
Likewise social inclusion of land holding wise farmers such as Small, Marginal and medium farmers were also considered during Beneficiary Targeting as 85.74% Marginal, 9.07 % Small, and 1.08% Medium farmers along with 4.11% landless were benefitted.
5.4 Watershed Development
Table 35 –Activity wise social inclusion under Watershed Development Component -
6. IMPACT OF CBOs ON CLUSTER COMMUNITY
Community based organization always play an important role in the rural development through the community participation itself. CBOs are non-profit groups that work at a local level to improve life for members / residents. The focus is to build equality across society in all streams - health care, environment, quality of education, access to technology, access to spaces and information for the disabled.
Aim of CBOs: - The basic aim and objective of community based organization is to reduce / abolish the differences among individuals, develop spirit of common interest and sacrifice and also participate collectively in community programs.
The major characteristics of the community base organizations are voluntary membership, participatory decision making, help with each-others, resource mobilization and utilization of self- management, networking, monitoring, self-evaluation and sustainability etc.
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Under the RACP project total 636 CBOs has been formed, out of which 300 MTGs of agriculture & horticulture, 101 MTGs of goatery, 18 MTAs, 215 UGs and 2 FPCs. All these CBOs are having their own objectives in the project. These institutes actually generate a kind of accountability and responsibility towards the resources which have created and distributed to the community.
ARPAN have formed and strengthen the mentioned groups to inculcate the real values of CBOs. RACP believes community itself having all kind of solutions for their community level constraints. RACP team organised activity oriented meetings with CBOs to discuss about the project strategy and expected outcomes of the same. CBOs have record all the given suggestions, needs and complaints of the community to streamline the project with desirable outcome. The history and importance of community based organization (CBO) in rural areas is a long one. They have been deeply involved in activities that have impacted on the livelihood of rural people. These formed CBOs are formal voluntary social groups that are found in communities which differ in size objective and degree of interaction among members. In these organizations, members have the ability to influence ideas and actions of others with the purpose to plan, implement and monitor social, agriculture and economic development programmes and provides technical and financial helps to the communities. CBOs positively affect the process of rural change through increase in income, improvement of social status and different development parameters of the people. Some of the developmental programmes beautifully introduce and run by the CBOs to bring changes in the rural communities such as sustainable agriculture, animal husbandry, safe water, health, sanitation, education, microfinance and micro enterprise etc.
Before the interventions of the RACP these people were on different directions and were not aware about their development solutions which were available in the community itself. RACP has introduced the concept of CBO formation in the clusters of agro climatic zones of Rajasthan. Now these CBOs are playing their roles in all aspects of the project. ARPAN is delivering and performing all the activities through the MTGs. In this RACP project, community and CBOs decides the beneficiaries it selves. They also take care of the resources and feel accountability towards the assets generated. RACP team with the support of CBOs regularly organised meetings to achieve the project objectives and to eradicate the dependency syndrome from the community. These CBOs are working as an implementer of the project and RACP acts as a facilitator. Due the capacity building and strengthening of the CBOs, RACP project is running in the right directions. Active involvement of CBOs members are helping in the timely completion of the deliverables with expected outcomes. These CBOs members are also working as a social auditors and help in validation of the distribution items. Promotion of Farmers Producers Company: - To increase the income of farmers and get fair remuneration of their produce, have formed one FPC particularly on pulses and cereal crops under the project. The main objectives of FPO are as under:- To increase in price of produces through collective action & value addition Strengthening and capacity building of farmers through exposure of agricultural best practices and packages To raise the access of local farmers to quality inputs and services of agriculture field To remove hurdles and enabling farmers to access the market opportunities as a buyers or sellers. Under RACP Project TWO FPC has been formed following are the details of FPC: 1. Bansur Kisan Producer Company Ltd. (Total members = 566, BOD = 10, CEO=1) 2. RBC Kisan Producer Company Ltd. (Total members = 561, BOD = 10, CEO=1) Both FPC have their bank accounts and are conducting collective purchase of agri-inputs business.
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Table 36 –Details of CBOs in Bansur Cluster - S. CBO Nos. SC ST OBC GEN Total No. M F M F M F M F M F 1 MTG Ag. 300 510 30 202 14 2865 105 1572 102 5149 251 2 MTG AH. 101 - 150 - 60 - 825 - 465 - 1500 3 MTA 18 20 - 7 - 109 - 62 - 198 - 4 UG 215 275 5 109 2 1495 42 845 21 2724 70 5 LLW 18 - 1 - 1 - 13 - 3 - 18 6 CRP 18 2 - 0 - 12 - 4 - 18 - 7 FPC (BOD) 2 1 - 0 0 15 2 2 - 18 2
7. WOMEN EMPOWERMENT: -
RACP project was designed with the concept of gender equality. In many activities and project components, a major emphasis was on gender equity and women empowerment. Though women plays an important role in On farm and non farm activities in rural areas, but doesn’t have much voice in form of decision making, planning & implementation. Also Women folk believes that though they do most of the work in agriculture except for ploughing and selling, they have no role in decision making regarding purchase of inputs or selling of produce and Women are not recognized as farmers in their own right. Therefore RACP since from its inception, ensured equal and effective participation of women.
To ensure women participation, ARPAN has given major emphasis on women while planning, beneficiary selection and decision making during the project implementation. So ensuring their full participation ARPAN form some specific women MTGs and groom them as a decision body. As a result of that about 19% members of different CBOs are women and about 1500 women organized as MTG- AH. These formed MTGs are helping in the conduction and regulation of the project activities. These MTGs are working as a catalyst in the cluster and facilitating in beneficiary selection, distribution of articles and maintenance of resources etc.
The main focus area of the RACP project is mentioned below –
Increase the knowledge of rural women through fare participation in project activities –By involving local women in planning of project activities and implementation, their arena has been increased. Due to all these efforts they are taking their own decision in their day to day life. These women have learnt about this paradigm shift and know how to cope up with social and financial trap. This kind of exposure is enabling and equipped them to face the adverse situations of life.
Exposure about the new era of development – Under this project we have provided a large exposure to rural women. Exposure visits are promoting their decision making skills and leadership qualities. Some of the MTGs members have been contestant as a Sarpanch/Village head in elections of local governance and performed well in the same. Before the RACPs interventions these were limited up to their domestic premises only.
Removal of the hesitation and poverty – Rural women are often very hesitant and shy with sharing their own ideas, this project is enabling them to remove their hesitation and improve their confidence by link them with income generation activities. These women are having active
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PERFORMANCE / IMPACT REPORT OF BANSUR CLUSTER participation in the goat rearing units. Goatery units are improving health status and economic status of rural poor in the cluster. With the aim of women empowerment and execution of income generation activities RACP team have formed 101 separate MTG for goat rearing under assistance of animal husbandry department. Maximum activities of animal husbandry has conducted with women of the cluster, such as trainings, goat rearing, distribution of bucks for improved breeding, chaff cutter and feeder trough. Under RACP project women are getting equal opportunities to participate in all programs. To provide a financial assistance and social security to widow and disabled people, Goatery units has been distributed. These interventions are directly contributing in the development of rural poor. Capacity Building of women and drudgery reduction – The revival and strengthening of women MTGs is capacitating the women’s financial knowledge and skill enhancement. Under the RACP project ARPAN has facilitated in distribution of electronic and manual chaff cutters to the MTGs. These chaff cutters are helping in drudgery reduction and creating a quality life for women. Use of chaff cutter is also improving the quality of fodder and preventing from wastage also. Following Impact on women empowerment has been observed in the Bansur RACP cluster:- Awareness level increased - Due to special focused separate meeting, training and capacity building of MTG. Income level increased, especially in women headed families. Drudgery reduction and improvement in the quality of life -Due to the adoption of modern agriculture techniques and equipment (Chaff cutter) Capacity of decision making has increased Participation in development programs, Gram Sabha and on other common platforms has been increased Women are contesting as a local governance leaders in the elections of local governance Women are sharing their views to government officers, community representatives and other stakeholders with high level of confidence Mutual help and level of responsibilities increased due to the association with SHGs / CBOs. Maternal mortally rate has reduced due to the consumption of nutritious food and vegetables Development in existing social dynamics Exposure and capacity of rural women has increased (through financial literacy) Availability of sustainable livelihood alternatives in the cluster
PHOTOGRAPHS:-WOMEN DEVELOPMENT ACTIVITIES:-
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8. ENVIRONMENT MANAGEMENT
Table 37 –Environment Management in Bansur Cluster - S. No. Environment Measures Taken / Outcome (quantifiable hazard Implemented /qualitative) A Agriculture 1 Consumption of Selected less water consuming 45% Farmers of total more water in crops crops viz. Kharif (Bajra & benefitted farmers under cultivation Guar), Rabi ( Mustard, Wheat & Agriculture component Barley) and Zaid (Fodder – cultivated crops recommended Chari) by RACP based on water Use of Micro irrigation & drip availability system and pipe line for Demand Most of the Farmers avoiding side water management the cultivation of Long duration Adopt the suitable crop rotation and High water Requirement Motivated and sensitized crop farmers for use of bio fertilizers 17% Farmers of total benefitted and reduce the chemical farmers under Agriculture fertilizers. component who have adopted micro irrigation and drip system. Above 50 % Farmers are applying Crop Rotation to retain the moisture. Farmers got aware about the use of Bio Fertilizers and PoP as per soil health.
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S. No. Environment Measures Taken / Outcome (quantifiable hazard Implemented /qualitative) 2 Degradation of soil Soil Health Card distributed Farmers have soil health physical among farmers. card and use the characteristics due to Introduce the crop / Vegetable recommended dose of intensive cropping which having more bio mass fertilizers and imbalance dose Trained Farmers to adopt the Use of vermi compost of fertilizers and Suitable and recommended dose 70-80% Farmers using Pesticides of Fertilizers and crop rotation provided agriculture inputs Provided Package of practices considering the soil nutrient /implements for Ploughing status of the cluster and Intercultural purpose Motivate farmers for use of bio Farmers are using INM in their fertilizers and reduce the cultivation practices to chemical fertilizers. maintain soil health & also Provided training to farmers for using vermi compost to crop rotation to ensure that crops increase soil fertility with different root zones, different demands on nutrients and different pests and diseases can be grown. Implement Nutrient management based on Integrated Nutrient Management Plan (INM). 3 Increased chemical Design of Package of Farmers using bio pesticides and pesticide use Practices & at the time of bio control agents purchase of pesticides including bio pesticides / bio-control agents 4 Increased incidence Promotion of crop rotation Farmers have adopted crop of pests if the same rotation crop is promoted repeatedly B Horticulture More water used in Compulsory drip and sprinkler In 24.27 Ha Wide spacing crop, orchards & vegetable use in orchard & Vegetable 41.59 Ha High Density cultivation cultivation Plantation and 166.92 Ha Vegetable Cultivation, drip system installed (Total 232.78 Ha) C Livestock (Small
Ruminant) 1 Breed suitability for Good quality bucks of Jamnapari 65% of herd showing full the area under Breed breed and goats has been characteristics of chosen breed. improvement of selected and distributed goats through Conducted Awareness and introduction of bucks health check-up Camps on regular basis in villages Formation and regular handholding provided to the Women MTGs for goat raring Timely Treatment and Vaccination done by deptt.
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S. No. Environment Measures Taken / Outcome (quantifiable hazard Implemented /qualitative) All distributed goat units risk coverage with insurance 2 Insufficient Fodder Fodder cropping (Azolla No Fodder gap along with proper for small ruminants Demonstration - 800) was done feeding by chaff cutter, water and the herd to avoid this situation trough and feed supplements 3 Contaminated water, Provision of Housing support 9 % of goat herd owner adopted odour, flies, parasites Provision of Vermi Compost shade and manure management etc. will suffer the beds to manage the excreta of health of the livestock for composting livestock and rarer
D. Soil and Water Conservation 1 Top layer of Soil Trained to Farmers for adopt Total143413 Running Meter Removed the Suitable and recommended Bund digging work completed Soil and water Conservation in Farmers field. Due to this measures like bund , CCT , ST, SWC work fertile soil has been Vegetative covered retaining in Field. Adopt the Suitable MIS like Maximum framers are applying Sprinkler Pipe line , Drip MIS (Pipeline for use of system for save the Water Irrigation and save water for one Motivate to farmers for prevent Irrigation. Before Project of flood irrigation and adopt farmers and others water save ridge and furrow system method Adopt the suitable crop Above 70% framers are rotation applying Crop Rotation. Motivate to farmers for use of Farmers start the preparation of bio fertilizers and reduce the Vermi compost. Some of the chemical fertilizers. beneficiary constructed separate Goat house. 2 Due to High Runoff Motivate to Farmers for Farmers are aware and taken the of Rain water Land Construction of Required SMC corrective measures to solve also washout work such type of Problems. 3 Free Grazing Formed CBO of Such type of Farmers are aware the particularly in CPR (Common Property protection of CPR. Pasture land are Resource) and some corrective problems measures taken under RACP Project.
9. CHALLENGES AND DEVELOPMENTS
Table 38 –Challenges and corrective measures in Bansur Cluster - S. No. Challenge or Development Corrective Action or Project Change 1 Less land holding The model interventions were changed to suit marginal and small farmers 2 Poor economic status leading to non- Bank linkages were done for loan to submit adoption of interventions like solar pump, farmer contribution, this issue of high farmer mini-sprinkler & polyhouse etc contribution has been reported to PMU
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3 Lack of water resources leading to very Watershed development addressed this problem less irrigated area and women had to travel by creating surface water sources and also to fetch drinking water facilitating ground water recharge 4 Unavailability of high yielding varieties Quality and High yielding seed Distributed to for farmers farmers by Deptt as well seed companies for Demonstration as well as Adoption purpose 5 Lack of adequate storage facility Provided the Storage Bin to Farmers and motivated farmers for storage the seed / Grain in scientific way. 6 Lack of proper water use efficiency system Provided MIS system and Pipeline to the / techniques farmers 7 On time non availability of Quality Agri Under RACP, PIA and PMU regularly making Input (Seed, Fertilizers and Pesticides) contacts with farmers and RSSC/NSC and fertilizer vendors to made available the required on time. 8 Heat Wave / Cold Wave Imparted Trainings to Farmers for cultivation ( High Temperature in Summer and Low of crop (vegetable) in Control environment. Temperature in Winter) Poly Houses also installed for vegetable cultivation. 9 Low Milk yield and weight gain of non- Introduced the Quality Jamnapari Breed bucks descript goat population and provided Azolla Units for sustainable Green Fodder. 10 Lack of Availability of animal health Veterinary Health Camps and Cattle rarer services and poor infrastructure of exiting Workshops conducted on monthly basis animal husbandry institutions. Deputed Local Lady Link worker as the immediate care provider
10. OUTCOME AND INDICATOR RESULTS TO DATE Please list the Outcomes and Indicators you selected in your accepted project proposal i.e. CACP, and identify the quantifiable results, along with an update on their progress. It is understood that the results may not yet be final at the time that this report is submitted; however, please provide an update on the progress to date.
Table 39 –Outcome Indicator based on FGD/HH Survey and Success Stories in Bansur Cluster S. No. Indicator Outcome Quantifiable Results
Agriculture & Horticulture 1 Reduction in water Increased Cultivated Area in 1. Reduction in water used in used in agriculture Rabi season and reduction agriculture by 51% per Ha in wheat of flood irrigation after crop - (2592000 lt./ha Water required in adoption of improved MIS Flood Irrigation while with use of System Mini/Micro Sprinkler, only 1263600 lt./ha consumed) 2. About 10% area provided with new /improved irrigation 2 Increase in Water Increased Cultivated Area in About 7-10% Rabi crop area increased Use Efficiency Rabi season and reduction About 20% productivity increased (WUE) in of flood irrigation after No. of watering (irrigation) increased by agriculture adoption of improved MIS 3-4 to 5-6 as required System 3 Productivity Mustard Due to Rabi crop area 2.5 - 3 to 3 - 4 Qntl Per Bigha Wheat increased and use of 5 Qntl Per Bigha to 8 to 9 Qntl
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S. No. Indicator Outcome Quantifiable Results
Barley improved MIS, production 1.5 to 2 Qntl Per Bigha to 3 Qntl Per per bigha also increased Bigha 4 Change in cropping Due to improved irrigation Assured three crops in a year pattern techniques and technology Farmers growing Zaid crops also inputs, 5 % of Farmers Establishment of green About 40-50% farmers adopted the adopting improved houses and significant use improved agriculture technology like agricultural of other improved MIS, Green House etc. technology agriculture technology 6 Area Provided with Rabi crop area increased About 10-15% area increased with New/Improved Zaid Corp area increased New/Improved Irrigation Irrigation Wheat 171.22 Ha Chilly / Tomato – 166.92 Ha Due to less water consuming seeds varieties and MIS, Zaid crop area increased by 20% 7 Ground water Increase in ground water The ground water table reduced by 0.5 recharge increase table in watershed areas is to 1 m. bgl as per the random basis well one of the important inventory measurable indicators of During Rabi Season, operating hours per successful watershed day (Nos) from Water Lifting Devices in programme. Wells is increased by 2-3 hours. Livestock 8 Goat milk Breed Improvement 2-4 Lt / goat to 4-5 lt / goat (Litre/Goat) 9 Average Goat 17.4 Kg / goat to 20 Kg / goat Weight (KG/Goat) 10 Availability of Healthier small ruminant Fodder being available for 10 to 11 fodder month as previous 7-8 months only Socio-economic Indicator 11 Increase in Gross Significant change in life Farmer Income increased by 40% as Income index the quality of grains (shine, size and weight) improved and maturity time reduced Increase income by selling goat milk and flash 12 Changes in No. of man days generated Before Project :- Only per year per employment profile at the Project level within family approx. 70 day from MNREGA the project framework and while after project it increased to 90 to outside the project 100 days framework increased 13 Quality of Life Type of assets created 30-40% Kachha houses to 10-20% reduced (20-30% Pakka houses constructed) Expenditure on Health Reduced by 10% 14 Gender Equity Women participation in Earlier women were not involve in decision making Decision Making or limited while now women are MTG and FPC members and involve in decision making
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S. No. Indicator Outcome Quantifiable Results Formation and linkage of MTG – Goat and UGs formed with group with banks is women participation and also women are almost nil earlier members of FPCs too Active involvement of About 286 widow / physically women in livelihood challenged women, herself doing Goatry and economic activities as livelihood activity Drudgery reduction among Due to availability of water and farm women mechanization, work load of women have been reduced which reflects in positive significant changes in child care and child education 15 Satisfaction with Community adopting the About 90-95% farmer / community is the project interventions and thankful to the project and wanted interventions. technology transferred continuation of the project. under project 16 Producer company Federation of farmers to In cluster 2 FPCs registered and doing under project eliminate the middle man their business where farmers are getting direct benefits
Table 40 –Comparative Analysis of Project Indicators as per FGDs, Meeting Minutes, KPIs and Success Story in Bansur Cluster Project Post project (as on SN Particulars Pre Project (2015-16) Indicators January 2020) 1 Change in cropping pattern Agriculture As per LULC of 9794.68 Ha (Pre 10109.94 Ha (Post Land Satellite Image of project 2014-15 project 2019-20 the cluster area Satellite Image) Satellite Image)
Cultivated Area Kharif and Rabi Total cultivated Total cultivated Kharif Increase crop Kharif area is 7608 area is 8095 and Rabi and Rabi area 6428 ha area 7042 ha. Crop area increase due to water availability. 2 Production per Pearl Millet, 1786 Ton per ha 1803 Ton per ha ha of major Gwar 864 Ton per ha 885 Ton per ha crops Wheat 3492 Ton per ha 3575 Ton per ha Mustard 1345 Ton per ha 1360 Ton per ha Barley 3167 Ton per ha 3250 Ton per ha 3 Increase Water Increase Only 60% area Total 70 To 75% area use Efficiency Cultivated Area in cultivated in Rabi sown in Rabi Crop. Rabi after reduce Season the flood irrigation and uses of MIS System. Increase Few Farmers grow the Due to availability of Cultivated Area in Zaid Crop water, now farmers Zaid growing Vegetables
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Project Post project (as on SN Particulars Pre Project (2015-16) Indicators January 2020) and Fodder in Zaid Crop
Increase No. of Only 3 to 4 Irrigation No. of watering Irrigation. done in Rabi crop (irrigation) increased by 3-4 to 5-6 4 Change in Change in Farmers grow only Farmers Grow cropping pattern cropping pattern Cereals Crop vegetables and Fodder In Rabi Farmers grow Mustard Farmers are growing and Barley Barley and Vegetable crops due to Market and assured irrigation 5 Vegetative Area Covered Less More coverage in under Vegetation watershed area 6 Livestock status Change in Cow Local Local Breed reduce livestock profile and some Cross Breed and increase cow also present. Milk Buffalo Local Local Breed reduce production and and some Cross Breed Income also present. Goats Local Local Breed reduce and Cross Breed also present. Increase Cross Local Total 320 Jamnapari Breed Goats Breed Buck + 286 Unit Jamnapari Goats Distributed among deprived widow and Physically challenged Women for livelihood support Increase Income No income, such Due to proper health from Sell of Goats women are just getting care and feed their livelihood supplement, body through farm labour weight got increased only and due to more weight, rarer getting more income
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Project Post project (as on SN Particulars Pre Project (2015-16) Indicators January 2020) Due to increase the cross breed animals sell, milk production increase and also increase income In Goats Now Jamnapari Goats and Cross Breed of Goats also sale by Beneficiaries and get higher income 10 Fodder Availability of Available for 7 to 8 Available for 10 to 11 fodder in the area Month Month
Impact of health Camps organized Problems was There is no disease camps under Project in Seasonal diseases. outbreak among small Regular Interval ruminant during project tenure seen Mortality Rate of High Low animals 11 Land Fertility Detection of Top and fertile soil As per discussion with analysis Change in Land washed during Rainy farmers water holding Use/ Land Cover Season in Sloppy land. capacity has been condition increased and Top layer of soil are retained due to Soil and Water Conservation Work. High Yield Crop Farmers grow only Due to good amount of cultivation Local and Short SWC works and other duration Variety of agriculture inputs Mustard and lentil due under RACP, The to Lack of Water irrigated area increased availability and due to assured irrigation, Farmers are growing improved and High Yielding crop like Maize, Mustard and Wheat and vegetable and Fodder during Zaid Season.
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Project Post project (as on SN Particulars Pre Project (2015-16) Indicators January 2020) B Socio Economic indicators 1 Changes in No. of man days Only per year per Due to integrated employment generated at the family approx. 70-80 development works profile Project level man-days from like SWC works under within the project MNREGA. RACP, about 90 to framework and 100 man-days per year outside the project per family are getting framework from MNREGA. Creation of During dry seasons, Due to RACP employment in youth have to migrate interventions in various sectors near-by urban areas for Agriculture sector like (Farm, Non-farm livelihood MIS, Solar Pumps, and services) seed inputs etc, youth are not migrating from project area. About 20- 30% migration reduced Per Person As per FGD , Insufficient Income About 30-40% income Income Interview and from Agriculture increased in Story Agriculture and Horticulture sectors 2 Capital Type of assets Earlier common Due to increased formation in the created in the Households goods are income, alongwith village village very less among necessary Household Households goods like Fridge, TV, Motor-cycle etc. Pucca Houses are now being constructing Fund Flow Low Increase Institutional Low Increase Credit flow 3 Migration Status Change in Community were Migration reduced by migration profile Migrate 20-30%
5 Quality of Life Health (Toilet , Few Toilet available in 100% House hold have Drinking water Villages. Toilets. Available facility etc) Drinking water above 12 Month available only for 8 to Drinking water. 9 Month. House Profile only 70-80% Puccka 90 % house are (Change in House Pucckka housing profile
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Project Post project (as on SN Particulars Pre Project (2015-16) Indicators January 2020) Electricity, 70 % House hold 90% House Hold Hospitals, Health covered. covered , care facilities for Increased health care human / animals) facilities
Gender aspects Women at Women are not Women are involve in leadership involve in Decision Decision Making as Making or limited every CBOs are having good number of women members and also they are in decision maker situation Change in the Due to low income Due to increase standard of living living standard was income living standard of families. low also improved
Formation and Nil MTGs and Women linkage of group SHGs were formed with banks under Small Ruminant component Active Few women Above 80% Family involvement of taken common women in decision livelihood and (Man + Women economic Jointly) activities Reduce the Work load were very Due to availability of drudgery of high water, Mechanization women of farming Work load of women have been reduced Insurance cover of Few farmers Above 50 % Farmers Individual Insurance cover of Nil 70 % farmers Crop
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11. VALUE CHAIN CROP: - Table 41 –Productivity, per unit production and Income analysis for Bajara Crop in Bansur Cluster Indicator S# Activity / Practices / Outcomes / Result Remark / Parameter Pre Project Current Status Quantifiable Status Result Increase 1 Seed Used Local / Local Used Used Improved / Above 90% Production, Improved Hybrid Seed Farmers use Income and Improved / Hybrid Productivity seed of Bajra 2 Used Treated Seed Not Yes Above 90% Crop Yes / No. Farmers use Treated seed 3 Sowing Method Line Line Sowing Line Sowing Sowing / Broadcasting 4 Use Recommended No. Almost every 70-80% farmers dose for Fertilizers farmer is using following POPs Y/S (NPK) fertilizers and pesticides as per RACP recommended POPs 5 Use Micro nutrients No. Very few About 70-80% farmers were farmers are now using Micro using Micro nutrients nutrients being available by RACP and other Agriculture Department schemes 6 Use of Bio Fertilizers Only FYM Mostly farmers About 20-30% / Pesticides Used were using farmers are now chemical using bio fertilizers fertilizers and and vermi compost pesticides and also few farmers practicing Organic Farming too. 7 Type and No. of Not Required Not Required / 80% Farmers got Irrigation Flood / / Flood Ridge and Basin aware about the Drip/ Sprinkler / Through MIS benefit of MIS and using it 8 No. of Irrigation No 1 to 2 as per Due to MIS, requirement assured irrigation supply 9 Grain Production (in 3 6 As per Farmers qtl)/ Per Bigha discussion 10 Grain Production (in 18.75 37.50 Increase qtl)/ Hector Significance 11 Prize Per quintal 1000 1600
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Indicator S# Activity / Practices / Outcomes / Result Remark / Parameter Pre Project Current Status Quantifiable Status Result
12 Total Income 3000 9600 13 Expenditure on 1800 5600 As per discussion Cultivation with Farmers 14 Net Income from 1200 4000 Maize from Bigha 15 Per hectare Income 7500 25000 Rs 16 Net Income Increase 17500
Table 42 –Productivity, per unit production and Income analysis for Barley Crop in Bansur Cluster Indicator S# Activity / Practices / Outcomes / Result Remark / Parameter Pre Project Current Status Quantifiable Status Result Increase 1 Seed Used Local / Local Used Used Improved / Above 90% Production, Improved Hybrid Seed Farmers use Income and Improved / Hybrid Productivity seed of Barley 2 Used Treated Seed Not Yes Above 90% Crop Yes / No. Farmers use Treated seed 3 Sowing Method Line Line Sowing Line Sowing Sowing / Broadcasting 4 Use Recommended No. Almost every 70-80% farmers dose for Fertilizers farmer is using following POPs Y/S (NPK) fertilizers and pesticides as per RACP recommended POPs 5 Use Micro nutrients No. Very few About 70-80% farmers were farmers are now using Micro using Micro nutrients nutrients being available by RACP and other Agriculture Department schemes 6 Use of Bio Fertilizers Only FYM Mostly farmers About 20-30% / Pesticides Used were using farmers are now chemical using bio fertilizers fertilizers and and vermi compost pesticides and also few farmers practicing Organic Farming too.
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Indicator S# Activity / Practices / Outcomes / Result Remark / Parameter Pre Project Current Status Quantifiable Status Result 7 Type and No. of Not Required Not Required / 80% Farmers got Irrigation Flood / / Flood Ridge and Basin aware about the Drip/ Sprinkler / Through MIS benefit of MIS and using it 8 No. of Irrigation No 1 to 2 as per Due to MIS, requirement assured irrigation supply 9 Grain Production (in 2 3 1 Qntl per Bigha qtl)/ Per Bigha 10 Grain Production (in 12.5 18.75 6.25 Qntl Per qtl)/ Per Hector Hector 11 Price (in Rs./qtl) Rs 2200 3000 As per Farmers and Market Rate 12 Average Income (in 4400 9000 Rs 4600 / Income Rs.) Average Rs Increase 13 Expenditure on 1400 3000 As per discussion Cultivation Rs with Farmers 14 Net Income from 3000 6000 Rs 2000/ Income from 1 Bigha 15 Per hectare Income 18750 37500 Rs 16 Increase Income per 0 18750 18750 / Per Hector Hector Rs 17 Productivity 12.5 18.75 (Productivity =Production / Area) 18 Increase Productivity 6.25
per Hector in Qntl
Table 43 –Productivity, per unit production and Income analysis for Mustard Crop in Bansur Cluster Indicator S# Activity / Outcomes / Result Remark / Quantifiable Practices / Pre Current Status Result Parameter Project Status Increase 1 Seed Used Local / Local Used Certified seed Above 90% Farmers use Production, Improved Seed Certified seed Income and Used Productivity 2 Used Treated Seed Not Yes Above 90% Farmers use of Wheat Yes / No. Treated seed Crop 3 Sowing Method Line Line Sowing Line Sowing / Sowing Broadcasting
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Indicator S# Activity / Outcomes / Result Remark / Quantifiable Practices / Pre Current Status Result Parameter Project Status 4 Use No. Apprx 50 Farmers 50% Farmers Recommended use Recommended dose for Fertilizers Dose Y/S (NPK) 5 Use Micro No. Apprx 50 Farmers Apprx 50 Farmers nutrients Aware about Micro Aware about Micro nutrients but only nutrients but only 10 to 10 to 15% Apply 15% Apply 6 Use of Bio Only Farmers Used Only 10 To 15 % Fertilizers / FYM FYM . 40 to 50% Farmers used Bio Pesticides Used Farmers aware Fertilizers and Bio about Bio Farming Pesticides and Use Bio Pesticides like Jeeva Marut - Amrutpani , Neem based Fertilizers and Vermi compost. 7 Type and No. of Flood Flood . But Some 80% Farmers are aware Irrigation Flood / farmers used MIS for the benefit of MIS / Drip/ Sprinkler Pipeline Pipeline but Use 20 to 30 % 8 No. of Irrigation 3 to 4 4 to 5 Irrigation Irrigation given 9 Grain / Vegetable 5 9 4 Qntl per Bigha Production (in qtl)/ Per Bigha 10 Price (in Rs./qtl) 1300 1800 As per Market Rate 11 Income (in Rs.) 6500 16200 As per Market Rate Average 12 Expenditure on 2500 7000 As per discussion with Cultivation Farmers 13 Net Income from 4000 9200 Rs 4650/ Income from 1 Maize from Bigha Bigha 14 Per hec Income 25000 57500 Significant Change in Rs Income 15 Increase Income 32500 Increase Rs 32500/ per Hector Rs Income from Hector
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12. OTHER INDICATOR: - Based on the FGD, Meetings, house hold interview and Success story, some other Impact are as under:-
SN Items/ Indicator Pre Project Current 1 Type of House Kacha/ 50-60% 80-90% Puccka or Any Change 2 Electrified House 60-70% 80-90% 4 Solar Pumps 0 1 to 8 5 Bio gas (nos.) 0 0 6 Gas Cylinder (nos.) No of 30-40% 60 to 70% House Hold 8 Kitchen Garden (nos.) 10% 50% 9 Individual Toilets 50-60 % 80-90% 10 Number of wells 10-15 15-20 11 Television (nos.) 0-5 5 to 25 12 Motorcycle (%) 40-50% 80-90% 13 Tractors (%) 30-40% 60-70% 14 Improved Agriculture Limited Sufficient Implement 15 Seed Storage Bin 5-10% Above 50% 16 Chaff Cutter 1 to 2 % 10 to 15 % 17 No. of buffalo a Deshi per family 0-1 2-3 b Cross Breed 0-1 1-2 C Buffalo Increase - Increase 18 No. Of Cow A Deshi Breed 1-2 2-3 B Cross Breed 0-1 1-2 C No. of Cow Increase/ Increase Decrease 19 No. of Goats A Local / Cross Breed Per Families average 2 Per family 3 to 4 Goats to 3 Goats Deshi Breed B Ratio of Local and 10:20 10:40 Jamnapari C Azolla Unit Not Know 30-40% rarer have Azolla Unit 20 Manger for Feed Not Aware 30 % farmers make manger for Sill Patti. 21 Water Feeder Tough Not Aware Aware and using 22 CMT Kit Not Aware Aware and using
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SN Items/ Indicator Pre Project Current 23 Vermi compost Unit Not Aware Aware and some farmers prepares and using vermi compost 24 Poly House, Low Tunnel Not Know Aware and Some farmers Farming and Plastic Culture has been cultivated and Cultivation from vegetable under low tunnel mulching 25 Bank account 30 to 40 % farmers Above 80% having bank have bank account account 26 Member of any CBOs Not aware Yes 27 Kisan Credit Card Yes / No 20 to 30% Above 60 % 28 Source of Loan:- Bank, Few farmers More Farmer Society 29 Loan From Money lender More Farmer Few farmers 30 Daily Consumption Report Per Person Per day a Consumption of Milk High High b Consumption of Pulses Low High c Consumption Vegetable Low High d Consumption of Oil Low High e Purchase Capacity Increase / Purchase capacity was Increase Purchase Capacity Decrease Low
13. ADDITIONAL STUDY OF BANSUR PROJECT AREA USING SATELLITE REMOTE SENSING Report on Satellite imageries of pre-project and Post Project status (with analysis):
Satellite remote sensing has become an integral part of information technology and provides solution to facilitate sustainable development of especially the natural resources and conservation of environment at varying scales. The greater distance between the sensing platforms and its objects allow the satellite to view large area synoptically at each instant. For optimal utilization of natural resources, information on their nature extent and spatial distribution is a prerequisite. Therefore, satellite remote sensing nowadays, is playing a vital role in monitoring spatial variation and land transformation, especially in nation-wide major watershed management projects. In addition, information used to be collected by conventional surveys, which are labor-intensive, cost- prohibitive and are impractical in the inhospitable. The Landsat Satellites with continuous advent of sensors in last decades (Landsat I to 8), multispectral data collected in a wide range of the electromagnetic spectrum have been extensively and other relevant information supported by ground truth, for deriving information on geological, geomorphological and hydro-geomorphological features, soil resources, landuse, forest resources. Furthermore, multispectral data has been operationally used for integrated assessment of natural
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PERFORMANCE / IMPACT REPORT OF BANSUR CLUSTER resources and subsequent generation oi action plans for land and water resources development and for assessment of the impact of their implementation. Apparently, biomass has been used as a surrogate measure to evaluate the impact of the implementation of action plan for land and water resources development. High absorption of incident sunlight in the visible red (600-700 nm) portion and strong reflectance in the near infrared (750-1350 nm) portion of electromagnetic spectrum has been used to derive vegetation indices such as NDVI, which indicate the abundance and condition oi biomass. The index is typically a scene, difference ratio, or other linear combination oi reflectance factor or radiance observations from two or more wavelength intervals. The vegetation indices thus developed are highly correlated with the vegetation density or cover, photo synthetically active biomass. Indian Remote Sensing Satellite data have been used for deriving NDVI and Differential NDVI to assess the impact in the watersheds. On the other hand, Geographic information System is a system for capturing, storing, checking, manipulating, analyzing and displaying data, which are spatially referenced to the earth. GIS in association with satellite remote sensing can play an important role in inventory and data handling activities of land use and land cover. ArcGIS© 10.4 GIS software is used for current impact assessment study. The outcomes of the project are to prevention of soil erosion, regeneration of natural vegetation, rainwater harvesting and recharging of the ground water table. This enables multi-cropping and the introduction of diverse agro-based activities, which help to increase the production and productivity and to provide sustainable livelihoods to the people residing in the watershed area. Prima facie, focus has been made to detect the change and highlight the areas if noteworthy. This is done by comparing pre and post-project imageries using automated change detection methods as well as on screen visual interpretation. This wide comparison enabled to identify changes taken place in last 6 years. Further, the remote sensing methods emphasized on classifying the changes and their role in assessing the watershed management practices and their impact, their statistical contribution in terms of change with respect to pre-project status and finally to document the same. Below is the difference image that has been computed by subtracting pre-project Rabi season image with post project image of same season. Arpan Seva Sansthan has conducted various studies viz. landuse, cropping pattern, NDVI, wasteland and NDWI. The satellite imageries of project area were procured for base year (pre- project 2014-15) and at the end of project implementation (post-project 2019-20). With this information, impact assessment in terms of biomass, change detection in Agriculture, Horticulture and Forestry, degraded Wasteland details etc., including all possible socio-economic parameters have been studied in great detail. In this Report on RACP impact evaluation (with analysis), is also providing digitally analysed pre and post-project satellite data and derived output for each macro-watershed depicting the change detections and impact indicators and forest. The additional study would consist of analysis of following indicators as per Impact evaluation as shown in table below. NO Parameter Indicator 1 Crop yield Increase in the cropped area Adoption of new package of practices
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Adoption of Soil and moisture conservation measures 2 Diversification Change in the cropping pattern and diversification Changes into of Cropping commercial, food, fodder crops Shift to agro-horticulture, agro- pattern forestry Shift from mono-cropping to intercropping/mixed cropping 3 Ground water Increase in the cropping intensity, Changes in the cropping pattern Diversification into high value crops Increase in the irrigated area Improvement in the Ground water level and yield 4 Productivity Extent of reduction in wastelands/degraded lands Extent of increase of non- Arable in forest cover/plantations/silvi- pasture Improvement in bio- land diversity/canopy cover Area of fallow lands brought under cultivation 5 Surface Water Increase in number of water bodies Increase in surface water supply resources Transformation from seasonal to perennial crops 6 Environmental Hazardous industrial activity (including mining) aspects \Rare/endemic/end angered species of flora and fauna Indigenous knowledge, artifacts, traditional values, indigenous people Wild life sanctuary, National park Cultural heritage/archaeologically important sites
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Satellite Imagery:
Rabi Crop Distribution in study area (Pre- Rabi Crop Distribution in study area (Pre- Project Status) computed Landsat 8 Imagery Project Status) computed Landsat 8 Imagery (Jan. 2015) (Feb. 2020)
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Kharif Crop Distribution in study area (Pre- Kharif Crop Distribution in study area (Pre- Project Status) computed Landsat 8 Imagery Project Status) computed Landsat 8 Imagery (Sept. 2014) (Sept. 2019)
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Landuse / Land Cover Classification RACP agency Arpan has followed supervised classification technique because of the facility of using user’s knowledge input. Following procedure is followed for classification – Step 1: Definition of classification classes: Depending on the objective and the characteristics of the image data, the classification classes should be clearly defined. We have followed a classification scheme developed by National Natural Resource Management System (NNRMS) of NRSC-ISRO. Step 2: Selection of features: Features have been identified to discriminate between the classes should be established using multi-spectral characteristic, textures etc. Step 3: Sampling of training data: In supervised classification, spectral signatures are developed from specified locations in the image. These specified locations are given the generic name 'training sites' and are defined by the user. The image below shows the raster image seen earlier with the addition of several training sites outlined on top of it. Generally, a vector layer is digitized over the raster scene. The vector layer consists of various polygons overlaying different land use types. The training sites further developed spectral signatures for the outlined areas. Training data should be sampled in order to determine appropriate land use classes. Step 4: Estimation of universal statistics: Various classification techniques have been compared with the training data, so that an appropriate method can be selected for subsequent classification. The supervised classification method calculates universal statistics and the statistics of individual training sites. Step 5: Classification: Depending upon the training sites as decision rule, all image pixels are classified in various classes using maximum likelihood method for different season imageries. Step 6: Results verification and accuracy assessment: Once the imagery is classified, an accuracy assessment matrix is prepared using random sampling method so as to check the accuracy. After that, a visit was planned to confirm ground truth. The classified image has then undergone a referential refinement procedure, based on the learning from field visit. The classified raster layer was sub-set using the area of interest polygons (micro- watershed boundary) that further converted into vector layer using automatic raster to vector conversion module. Attributes and coding of individual landuse classes are given and statistics was generated. Step 7: Statistics Finally, statistical tables were generated using different level of classification and are described in tables and pie charts. Landuse Area in Post-Project Difference (Post Project- Class Area in Pre-Project (Ha) (Ha) Pre Project) Agricultural 9794.680 10109.943 315.26 Built Up 169.724 171.300 1.58 Forest 585.350 585.350 0.00 Wastelands 2385.113 2070.274 -314.84 Water bodies 0.133 2.133 2.00
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12000.000
10000.000 Area in Pre-Project (Ha)
8000.000 Area in Post-Project (Ha)
6000.000
4000.000
2000.000
0.000 Agricultural Built Up Forest Wastelands Waterbodies Area in Pre-Project (Ha) 9794.680 169.724 585.350 2385.113 0.133 Area in Post-Project (Ha) 10109.943 171.300 585.350 2066.274 2.133
i ii
iv iii
Few examples of landuse from study area. (i) Agricultural Land, (ii) Scrub land, (iii) Fallow land
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Landuse in study area (Post Project Status – 2019-2020) computed Landuse in study area (Post Project Status – 2019-2020) computed Landsat 8 Imagery Landsat 8 Imagery
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Land Use/ Land Cover (Agriculture): Area under Cultivation (Kharif, Rabi and Jaid) Changes in Agriculture observed during ground-based base line/ end line survey: Pre Project Post Project Kharif Particulars Change 2014-15 2019-20 Area 6747 7205 458 1 Pearl Millet Production 12050142 12990615 ( ton) 940473 Area 861 890 29 Production 743904 787650 43746 2 Guar Productivity 864 885 21 Total Area 7608 8095 487 Pre Project Post Project Rabi Particulars 2014-15 2019-20 Area 2915 3215 300 1 Mustard Production 3920675 4372400 451725 Productivity 1345 1360 15 Area 3102 3340 238 2 Wheat Production 10832184 11940500 1108316 Productivity 3492 3575 83 Area 411 487 76 3 Barley Production 1301637 1582750 281113 Productivity 3167 3250 83 Total Area 6428 7042 614 Source: Survey results of Arpan Seva Sansthan
Changes in Agriculture observed as per remote sensing & GIS based findings: Landuse Area in Pre-Project Area in Post-Project Difference (Post Project-Pre Class (Ha) (Ha) Project) Agricultural 9794.680 10109.943 315.26 Source: GIS Report by Arpan Seva Sansthan
(A) Pre-Project Classification of Crop Land
Land use Class Area (Ha) Area (%) Current Fallow
Current Fallow 2023.546 20.660 Double Crop
Double Crop 2209.507 22.558 Kharif Crop
Kharif Crop 3567.860 36.427 Rabi Crop
Rabi Crop 6412.782 65.472
Source: GIS Report by Arpan Seva Sansthan
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(B) Post-Project Classification of Crop Land Land use Area (Ha) Area (%) Class Current Fallow Current 533.622 5.278 Fallow Double Crop
Kharif Crop Double Crop 6380.900 63.115 Rabi Crop Kharif Crop 7831.767 77.466
Rabi Crop 8125.454 80.371
Source: GIS Report by Arpan Seva Sansthan
Difference of area in Crop Land (increasing /decreasing) in Hectare Area in Post- Land use Class Area in Pre-Project (Ha) Difference (Ha) Project (Ha) Current Fallow 2023.546 533.622 -1489.92
Double Crop 2209.507 6380.900 4171.39
Kharif Crop 3567.860 7831.767 4263.91
Rabi Crop 6412.782 8125.454 1712.67
Source: Difference of Area Computed by Satellite Imagery LISSIV (Pre-Post Project, Rabi and Kharif Season)
Difference of area (increasing/decreasing) in Hectare 9000.000 8000.000 Area in Pre-Project (Ha) 7000.000 6000.000 Area in Post-Project (Ha) 5000.000 4000.000 3000.000 2000.000 1000.000 0.000 Current Fallow Double Crop Kharif Crop Rabi Crop
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Crop Distribution for the study area through GIS based methodology are as under:
Rabi Crop Distribution in study area (Pre-Project Status) computed Rabi Crop Distribution in study area (Post-Project Status) computed Landsat 8 Landsat 8 Imagery (Jan. 2015) Imagery (Feb. 2020) PAGE 93 OF 118 ARPAN SEVA SANSTHAN
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Kharif Crop Distribution in study area (Pre-Project Status) computed Kharif Crop Distribution in study area (Post-Project Status) computed LISS IV LISS IV Imagery (Oct. 2012) Imagery (Oct. 2017)
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Double Crop Distribution in study area (Pre-Project Status) computed Double Crop Distribution in study area (Post-Project Status) computed LISS IV LISS IV Imagery (Oct. 2012 & Jan. 2013) Imagery (Oct. 2017 & Jan. 2018)
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(A) Land use Land Cover distribution and its changes Land use / cover class Pre-Treatment Post-Treatment Area Change (Post Area in Pre-Project in Post-Project (Ha) Project-Pre (Ha) Project) Area (Ha) Built Up 32.32 33.75 1.42 Crop Land 661.01 407.84 -253.17 Current Fallow 744.60 1118.22 373.61 Water Bodies 126.17 136.96 10.79 Waste Lands / Scrub Lands 968.21 835.55 -132.66 Source: Land use Land Cover distribution Computed as per Satellite Imagery LISSIV
Fallow Land Distribution (Post Project Sept. 2019 & Feb2020)
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Area under Forestry: There is notified reserved forest in the study area demarcated by government of Rajasthan.
Forest Class Area in Pre-Project (Ha) Area in Post-Project (Ha) Difference Scrub Forest 585.350 585.350 0.00
Forest area demarcated in Bansur Cluster Area Pre Project & Post Project (2014-15 to 2019-20)
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Area under Degraded and Waste Lands: Changes in Waste Lands observed as per remote sensing & GIS based findings: Landuse Area in Pre-Project Area in Post-Project Difference (Post Project-Pre Class (Ha) (Ha) Project) Wastelands 2385.113 2066.274 -318.84 Source: Wasteland Area Distribution Computed as per Satellite Imagery Landsat 8 (Pre -Post Project, Rabi and Kharif Season)
(A) Pre-Project Classification of Wastelands (Oct.2012 & Feb. 2013) Landuse Class Area Area (Ha) (%) Barren Rocky/ Stony waste/ Barren Rocky/ Sheet Rock Stony waste/ 408.065 17.109 Gullied/ Ravenous Land Sheet Rock Gullied/ Ravenous Land with scrub 1225.28 51.372 Land Land without scrub Land with scrub 697.127 29.228
Land without 54.638 2.291 scrub Source: GIS Report by Arpan Seva Sansthan
(B) Post-Project Classification of Wastelands (Jan. 2018 & Sept. 2018) Landuse Class Area Area (Ha) (%) Barren Rocky/ Stony waste/ Sheet Rock Barren Rocky/ Gullied/ Ravenous Land Stony waste/ 405.653 19.632 Sheet Rock Land with scrub Gullied/ Ravenous 1168.397 56.546 Land without scrub Land Land with scrub 439.637 21.277
Land without 52.587 2.545 scrub Source: GIS Report by Arpan Seva Sansthan
Difference of area (increasing/decreasing) in Hectare Area in Pre-Project Area in Post-Project Landuse Class Difference (Ha) (Ha) Barren Rocky/ Stony 408.065 405.653 -2.412 waste/ Sheet Rock Gullied/ Ravenous Land 1225.28 1168.397 -56.883 Land with scrub 697.127 439.637 -257.49 Land without scrub 54.638 52.587 -2.051 Total 2385.11 2066.274 -318.836 Source: Difference of Wasteland Area Distribution Computed as per Satellite Imagery LISSIV (Pre -Post Project)
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1400.000
1200.000 Area in Pre-Project (Ha) 1000.000 Area in Post-Project (Ha) 800.000
600.000
400.000
200.000
0.000 Barren Rocky/ Stony Gullied/ Ravenous Land Land with scrub Land without scrub waste/ Sheet Rock
Difference of area (increasing/decreasing) in Percentage
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Wasteland Distribution using Visual Interpretation (Pre-Project Status) Wasteland Distribution using Visual Interpretation (Post-Project Status) Landsat 8 Imagery (2014-15) computed Landsat 8 Imagery (2019-20)
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This Map is based on the land transformation (Waste Land to Agriculture ) on the basis of change detection by Visual interpretation using multi Season Landsat 8 Imagery data Sets Post Project Rabi Feb. 2020
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Vegetation Density: LISS-IV imagery belonging to Rabi season of pre and post project times are used for computing NDVI and further classified using natural breaks in histogram. NDVI model is computed using two bands i.e. near Infra-red and Red. The NIR band records good reflection of vegetated areas and is built mainly for vegetation studies. Below Fig. shows a conceptual model of how NDVI is computed. ArcGIS gives the facility to plot NDVI values against pixel population and further to identify the natural breaks (Jerks) in the histogram. Therefore, the NDVI output was further classified into four categories viz. High – Very High, High – Moderate, Moderate – low, Low – very low. The very high - high vegetation class occupies very less area as the study area bellows to arid region. Therefore, very small patches exhibiting bunch of trees, young crop etc falls under this category. High to moderate class mainly represents mainly dense scrubland, mature crops whereas the moderate to low belongs to scattered and degraded scrublands. The low to very low class represents fallow lands, rocky and mining areas, land without scrub and salt affected areas.
(A) Pre-Project Classification of Vegetation Index Vegetation (Jan.- Area (Ha) Area (%) 2015) Low-Nil
Low-Nil 118.47 0.85 Low-Mod. Low-Mod. 3808.64 27.32 Mod.-High 3793.65 27.21 Mod.-High
High-Very High High-Very High 6220.91 44.62
Source: Vegetation Density of Rabi season Computed as per satellite Imagery LISS IV (Pre-project Status)
(B) Post-Project Classification of Vegetation Index Vegetation (Feb.- Area (Ha) Area (%) 2020) Low-Nil Low-Nil 81.78 0.59 Low-Mod. Low-Mod. 3885.99 27.87 Mod.-High Mod.-High 3018.44 21.65 High-Very High High-Very High 6955.45 49.89
Source: Vegetation Density of Rabi season Computed as per satellite Imagery LISS IV (Post-project Status)
Difference of area (increasing /decreasing) in Hectare Vegetation Index Area in Pre-Project (Ha) Area in Post-Project (Ha) Difference Low-Nil 118.47 81.78 -36.69 Low-Mod. 3808.64 3885.99 77.35 Mod.-High 3793.65 3018.44 -775.21 High-Very High 6220.91 6955.45 734.54 Source: Difference of Area Vegetation Density Rabi season Computed as per satellite Imagery LISS IV (Pre & Post-Project Status)
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Difference of area (increasing/decreasing) in Hectare 7000.00 6000.00 5000.00 4000.00 3000.00 2000.00 1000.00 0.00 Low-Nil Low-Mod. Mod.-High High-Very High
Area in Pre-Project (Ha) Area in Post-Project (Ha)
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Vegetation Density using NDVI in study area Rabi Season (Pre-Project Vegetation Density using NDVI in study area Rabi Season (Post-Project Status – Jan.2015) computed Landsat 8 Imagery Status Feb. 2020) computed Landsat 8 Imagery
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Vegetation Density using NDVI in study area Kharif Season (Pre- Vegetation Density using NDVI in study area Kharif Season (Post-Project Project Status Sept. 2014) computed Landsat 8 Imagery Status Sept. 2019) computed Landsat 8 Imagery
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Shift from Annual Crops to Perennial Crops: Nowadays, most of the agricultural land is used for intensive food production. Depending on agricultural practices the intensification often comes at the cost of land degradation. Nowadays, most of the agricultural land is used for intensive food production. Depending on agricultural practices the intensification often comes at the cost of land degradation. The major crops used globally to feed people and livestock – wheat, rice, maize and soy – are based on an annual system, in which crop plants live one year, are harvested, and are replanted the following year. These systems are notorious, however, for stripping organic nutrients from soils over time. Perennial systems, on the other hand, contain plants that live longer than one-year despite being harvested annually. Perennial Crops allocate more resources belowground, thus sustaining important ecosystem services. Hence, shifting from annual to perennial crops has been advocated towards a more sustainable agriculture. Many agricultural scientists, say that perennial crops are the key to creating more sustainable agricultural systems. Agricultural areas are often fragmented and have a mosaic-like structure. They frequently comprise major and minor land cover types. The latter are often difficult to classify. Indeed, it is commonly recognized that unevenly distributed classes could deteriorate the performance of most standard classification methods. To derive more detailed LULC maps, time series data from the LANDSAT 8 images also be used because they allow to track seasonal variation of vegetation development. Several studies have shown that time series could better discriminate between different types of vegetation than single snapshot. Here LANDSAT 8 imagery belonging to entire pre and post project times series data are used for computing perennial crop area, annual crop area and plantation on the basis of visual interpretation shown in map and table below
Land use diversification S. No Changes Area From (Pre) To (Post) (In Ha) 1 Annual Crops (6380.90) Perennial Crops 0
2 Waste lands (2385.11) Agricultural 318.84
3 Agriculture Built Up/Waterbodies 3.58 Source: GIS Report by Arpan Seva Sansthan
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SOIL MOISTURE DENSITY:
LANDSAT 8 imagery belonging to Rabi season of pre and post project times are used for computing NDWI and further classified using natural breaks in histogram. The Normalized Difference Moisture Water Index (NDWI) is a satellite-derived index from the Near-Infrared (NIR) and Green channels. The NDWI output was further classified into four categories viz. High – Very High, High – Moderate, Moderate – low, Low – very low. The output image reflects changes in both the vegetation water content and soil moisture. This specialized band rationing algorithm improves the accuracy in analysing the water content and moisture distribution over a given area.
NDWI = (Green - IR) / (Green + IR)
Soil Moisture Content and Availability through Wetness Index (A): Pre-Classification of Soil Moisture Soil Moisture Area (Ha) Area (%) (Jan.-2015) Low-Nil
Low-Nil 5964.53 42.78 Low-Mod.
Low-Mod. 4152.72 29.79 Mod.-High
High-Very High Mod.-High 3634.20 26.07
High-Very High 190.21 1.36
Source: Moisture Density Computed as per satellite Imagery LANDSAT 8 (Pre-Project Status)
(B): Post-Classification of Soil Moisture Soil Moisture Area (Ha) Area (%) (Feb.-2020) Low-Nil
Low-Nil 6644.44 47.66 Low-Mod.
Low-Mod. 3333.38 23.91 Mod.-High High-Very High Mod.-High 3796.17 27.23
High-Very High 167.68 1.20
Source: Moisture Density Computed as per satellite Imagery LANDSAT 8 (Post-Project Status)
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Difference of area (increasing /decreasing) in Hectare Area in Pre-Project Moisture Area in Post-Project (Ha) Difference (Ha) Low-Nil 5533.86 6164.67 630.810 Low-Mod. 3852.87 3092.69 -760.181 Mod.-High 3371.79 3522.06 150.274 High-Very High 176.48 155.57 -20.904 Source: Difference of Area Moisture Density Computed as per satellite Imagery LANDSAT 8 (Pre, Post-project Status)
Difference of area (increasing/decreasing) in Hectare 7000.00
6000.00
5000.00
4000.00
3000.00
2000.00
1000.00
0.00 Low-Nil Low-Mod. Mod.-High High-Very High
Area in Pre-Project (Ha) Area in Post-Project (Ha)
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Moisture Density using NDWI in study area Rabi Season (Pre-Project Moisture Density using NDWI in study area Rabi Season (Post-Project Status- Jan. 2015) computed Landsat 8 Imagery Status –Feb. 2020) computed Landsat 8 Imagery
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Moisture Density using NDWI in study area Kharif Season (Pre-Project Moisture Density using NDWI in study area Kharif Season (Post-Project Status – Sept. 2014) computed Landsat 8 Imagery Status – Sept. 2019) computed Landsat 8 Imagery
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Water level fluctuation in pre project 2014-15 Water level fluctuation in Post project 2019-20
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Watershed intervention in Bansur Cluster area
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14. SUCCESS STORIES (Five of each sector with photograph and videography, if possible) Provide success stories in prescribed format attached herewith and summary of success stories please mention below
1. Enhancing livelihood through high tech agriculture – Drip Irrigation Sys-tem – Farmer Mr. Vijaypal Yadav, Vill. Sathalpur - Farmer income raised up to 3 times in comparison to income in 2017-18 2. Enhancing livelihood through high tech agriculture – Mini Sprinkler – Farmer Mr. Yadram, Vill. Khohri - Farmer income raised up to 3 times and production increased in comparison to income in 2017-18 along with water use efficiency in crop production 3. Farmer returns to farming after RACP intervention - Drip, Mulching & Solar - Farmer Mr. Ghanshyam - water consumption has been reduced by 40% and labour cost has been reduced by 40% 4. Farmer returns to farming after RACP support- Drip & Mulching - Farmer Mr. Kailash Yadav - water consumption has been reduced by 40% and labour cost has been reduced by 40% 5. Farmer returns to farming after RACP support-Poly House - Farmer Mr. Paras Ram Vill Neemuchana – Farmer income raised and motivated other farmers for such technology interventions 6. Livelihood Support through Goat Rearing - Mrs. Suman Devi, Alampur 7. Livelihood Support through Goat Rearing - Mrs. Sunita Devi, Khohari
15. UPCOMING ACTIVITIES DURING PROEJCT PERIOD
# Activity Anticipated Completion A Agriculture 1 Drip Irrigation System -1.50 Ha PV Due PV done as on 14.02.2020 2 Mini/ Micro Sprinkler Irrigation System - 20.70 Ha PV done on 14.02.2020 43.06 ha PV due and remaining shall be done before 1st week of March 3 Sprinkler Irrigation System - 31 Ha PV due 10.03.2020 4 Pipeline for piped conveyance of irrigation 10.03.2020 water - 840 sqm PV due B Horticulture 1 wide spacing crop with inter cropping – 1.41 25.03.2020 Ha 2 Assistance on production technology for 10.03.2020 vegetable cultivation – 16 Ha PV due 3 Solar pump program - 17 Solar Pump PV Due 15.03.2020 Livestock 1 HOUSING SUPPORTS - 5 Goat House PV 10.03.2020 Due
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16. CONCLUSION AND OVERALL REMARKS RACP project was crafted to address the prevalent problems of the area through a unique approach of integrated development. In this regard number of implementations ranging from soil and water conservation, water use efficiency through efficient irrigation technique, capacity building and demonstration, livestock development and value chain improvement were planned and implemented in a phase-wise manner. Activity wise outcomes under different categories are given as follows.
16.1 Agriculture component:- Under this component, three-fold objectives were implemented to prepare climate resilience in agriculture system; firstly enhancing crop yield by water use efficiency, Secondly alternative income generation through horticulture and thirdly promotion of animal husbandry as a livelihood options to asset less and deprived communities. Drip irrigation system and sprinkler system were demonstrated, however, the community shows more interest in the sprinkler system along with the water conveyance channel for irrigating their crops. Water storage means such as farm ponds were also implemented. Value chain crop demonstration got overwhelmed response and beneficiary farmers adopted ways to use crops of optimal water requirement. Crop Productivity and per unit Production has increased significantly. Cultivated area of Wheat and Maize increased in cluster’s catchment Area. Under ICT component proposed modernization plan of community building was still pending and thus no other associated activities are taken place so far. Community participation and social screening of beneficiaries were planned and achieved. For market and value chain improvement two FPO's were registered and received the Mandi license also.
16.2 Horticulture component:- Under horticulture development component promotion of Fruit cultivation and vegetable cultivation with basic infrastructure assistance was planned, however, farmer opted for vegetable cultivation over Fruit tree plantation due to less time of maturation. Now, farmers are getting high value Vegetable crops with Drip system due to good quality and more production. Looking the high income, Vegetable cultivation area has been significantly increased in cluster. Similarly, assistance on Greenhouse technology, also extended to the farmers which are even being appreciated by farmers and farmers getting very high income from vegetable cultivation. Apart from these technology interventions, Solar pumps installation is also very valuable activity for irrigation purpose and income as now the farmers can have assured irrigation within available water and also the dependency of power supply is also extinct. The power consumption and expenditure is also reduced. For capacity building, the farmers were mobilized and motivated to participate in exposure visits, seminar etc. 12 nos. of 2 days farmers training, 4 exposure visits and 6 seminars were conducted so far which has been instrumental to successfully educate the farmers.
16.3 Animal Husbandry:- The activities under animal husbandry i.e. goat rearing well addressed the need of the society, especially deprived section of the society i.e. Widow / physically challenged women. Due to its PAGE 116 OF 118 ARPAN SEVA SANSTHAN
PERFORMANCE / IMPACT REPORT OF BANSUR CLUSTER short gestation period and high return, utilization of waste products as manure, goatary got a very good response from all types of beneficiaries ranging from farmers to weaker sections of the society such as widow/ handicapped and poorest of the poor. Farmers were informed about getting housing support program to MTG and feeding arrangement through troughs/water tanks. Overall income of MTG members are increased by the selling of Cross breed Goats. No. of crossbreed animals (Particularly in Goats) has increased, the yield of milk is also enhanced and the health condition is also improved due to spreading awareness of preventive measures on common animal diseases with the distribution of treatment kit in animal health camps. Capacity building of women also enhanced due to separate meeting, Training and MTG.
16.4 Watershed development:- The activities implemented in the watershed cluster is basically focused on to control soil erosion and provide sufficient irrigation support to the crops to be grown in the cluster so that soil erosion can be controlled and requirement of the crops of the cluster could be met out. Although Kharif crops are grown in rainfed areas didn’t required irrigation much but due to improved MIS technology and less water consuming seed varieties and crops for getting more production lifesaving irrigation has to be applied on the crops in cluster area. Similarly, in Rabi crops, to cater the crop requirement, apart from ground water, some water harvesting structures like farm ponds and other water storage structures were constructed in the area. Keeping this in view, after field survey and PRAs, Demonstration of water efficient technologies for irrigation (Drip & Sprinklers etc.) has provided to the farmers and farmers adopted such technology (about 70%). Also crop rotation and less water consuming crop varieties introduced in the cluster area. Most of the farmers are using certified seed and following package of practices as per soil health status. In catchment Area watershed development approach was realized at catchment level through various Activities such as small/mini percolation tanks, bunds at fields, spillway, ramp and dugout ponds were planned and implemented as arable land measures except ramp cum waste weir due to unwillingness of farmers. Similar activities also proposed as non-arable conservation measures along with pasture land development which is also completed halfway journey. Measures under drainage line treatment were achieved completely. Activities other than NRM were partly completed as the consolidation stage is under process. The post-implementation result revealed the significance of the work carried out so far. Water use efficiency increased as well as 40% to 50% of water is also saved by micro-irrigation systems. Water Level increases 1 to 2 mtr as per well survey. Rabi Crop Area also increased.
16.5 Social inclusion The program is also successful in its endeavour of social inclusion through the selection of deserving beneficiaries who are the most vulnerable for tolerating climate adversities. Selection of appropriate beneficiaries was the first step towards success, which was further strengthened by proper mobilization and awareness. The social stigma was a major challenge but with sincere efforts at ground level, the fair number of women participants is also noticeable. The drudgery of women is also eased due to RACP interventions.
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16.6 Overall the RACP program Overall the RACP program has successfully addressed the challenges by an integrated approach of holistic development of catch to command interlinking. The overwhelming response from the community who witnesses the entire change is a testimony of the success of the endeavours under this scheme. Climate resilience could be realized truly if it brings behavioural changes in society. Now farmers of the area are more prepared to cope up with the current and future climate adversities with adequate knowledge and improved livelihood options. Dependencies on fossil fuel and electricity are reduced due to the implementation of solar pump programs, micro- irrigation systems. Similarly, improved mechanization on-field reduced the production cost and inputs in the form of chemical fertilizers. Goat rearing with veterinary support ensured the livelihood of the poorest of the poor. Due to water conservation measures water recharge and storage capacity increased and the efficiency of the existing irrigation system revitalized significantly. Farmers of the region are now experiencing the benefits of this scheme through increased income and livelihood opportunities.
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