Digital Technologies in Agriculture and Rural Areas Status Report

Total Page:16

File Type:pdf, Size:1020Kb

Digital Technologies in Agriculture and Rural Areas Status Report DIGITAL TECHNOLOGIES IN AGRICULTURE AND RURAL AREAS STATUS REPORT DIGITAL TECHNOLOGIES IN AGRICULTURE AND RURAL AREAS STATUS REPORT by Nikola M. Trendov, Samuel Varas, and Meng Zeng Food and Agriculture Organization of the United Nations Rome, 2019 Required citation: Trendov, N. M., Varas, S. & Zeng, M. 2019. Digital technologies in agriculture and rural areas – Status report. Rome. Licence: cc by-nc-sa 3.0 igo. The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO) concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products of manufacturers, whether or not these have been patented, does not imply that these have been endorsed or recommended by FAO in preference to others of a similar nature that are not mentioned. The views expressed in this information product are those of the author(s) and do not necessarily reflect the views or policies of FAO. ISBN 978-92-5-131546-0 © FAO, 2019 Some rights reserved. This work is made available under the Creative Commons Attribution- NonCommercial-ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO; https://creativecommons.org/ licenses/by-nc-sa/3.0/igo/legalcode). Under the terms of this licence, this work may be copied, redistributed and adapted for non- commercial purposes, provided that the work is appropriately cited. In any use of this work, there should be no suggestion that FAO endorses any specific organization, products or services. The use of the FAO logo is not permitted. If the work is adapted, then it must be licensed under the same or equivalent Creative Commons licence. If a translation of this work is created, it must include the following disclaimer along with the required citation: “This translation was not created by the Food and Agriculture Organization of the United Nations (FAO). FAO is not responsible for the content or accuracy of this translation. The original [Language] edition shall be the authoritative edition.” Disputes arising under the licence that cannot be settled amicably will be resolved by mediation and arbitration as described in Article 8 of the licence except as otherwise provided herein. The applicable mediation rules will be the mediation rules of the World Intellectual Property Organization http://www.wipo.int/amc/en/mediation/rules and any arbitration will be conducted in accordance with the Arbitration Rules of the United Nations Commission on International Trade Law (UNCITRAL). Third-party materials. Users wishing to reuse material from this work that is attributed to a third party, such as tables, figures or images, are responsible for determining whether permission is needed for that reuse and for obtaining permission from the copyright holder. The risk of claims resulting from infringement of any third-party-owned component in the work rests solely with the user. Sales, rights and licensing. FAO information products are available on the FAO website (www.fao.org/publications) and can be purchased through [email protected]. Requests for commercial use should be submitted via: www.fao.org/contact-us/licence-request. Queries regarding rights and licensing should be submitted to: [email protected]. CONTENTS 1 INTRODUCTION . 1 1.1 The digital agriculture ...................................................................2 1.2 The framework ..........................................................................3 1.2.1 Focus on SDGs .............................................................................3 1.2.2 Resources ...................................................................................4 1.2.3 Setting all together .........................................................................4 1.3 The document ...........................................................................5 2 BASIC CONDITION FOR DIGITAL TRANSFORMATION . 7 2.1 IT infrastructure and network in rural areas ..............................................7 2.1.1 Connectivity: mobile subscription and the access to broadband infrastructure .............8 2.1.2 Affordability: costs of ICT tools as a precondition for adoption by rural population .........18 2.1.3 Conclusion .................................................................................20 2.2 Educational attainment, digital literacy and employment among rural communities ..22 2.2.1 Literacy rate and the gap between urban and rural areas ..................................22 2.2.2 Introduction of ICTs to the educational process ............................................26 2.2.3 Employment in the rural areas and agrifood sector ........................................34 2.2.4 Conclusion .................................................................................37 2.3 Policies and programmes for enabling digital agriculture ..............................37 2.3.1 Institutional support and mechanisms ....................................................37 2.3.2 Policy regulation and frameworks .........................................................48 2.3.3 Existing digital agriculture strategies .......................................................51 2.3.4 Conclusion .................................................................................52 3 ENABLERS FOR DIGITAL AGRICULTURE TRANSFORMATION . 53 3.1 Use of digital technologies among rural population and farmers .......................53 3.1.1 Internet use and gender gap ..............................................................55 3.1.2 Internet use and youth .....................................................................56 3.1.3 Mobile use, social media and networks ....................................................58 3.1.4 Mobile apps, social media and networks among agriculture stakeholders .................65 3.1.5 ICTs for agricultural extension and advisory services .......................................68 3.1.6 Purpose of farmers using ICT tools .........................................................69 3.1.7 Use of precision agriculture technologies .................................................70 3.1.8 Conclusion .................................................................................72 3.2 Digital skills among rural population ...................................................73 3.2.1 Global trend on digital skills ...............................................................73 3.2.2 Digital skills gap between urban and rural areas ...........................................76 3.2.3 Conclusion .................................................................................77 3.3 Digital agripreneurial and innovation culture ...........................................77 3.3.1 Global trends in agritech entrepreneurship ...............................................79 3.3.2 Investment in digital agriculture ..........................................................80 3.3.3 Digital innovation ecosystem ..............................................................83 3.3.4 Conclusion .................................................................................90 iii 4 IMPACT OF DIGITAL TECHNOLOGIES ON THE AGRIFOOD SYSTEM – CASE STUDY EVIDENCE. 93 4.1 Production .............................................................................94 4.1.1 Mobile devices and social media ..........................................................94 4.1.2 Precision agriculture and IoT technologies .................................................99 4.1.3 Big Data, cloud and analytics and cybersecurity ..........................................108 4.1.4 Integration and coordination (blockchain, global ERP, financing and insurance systems) ..111 4.1.5 Intelligent systems .........................................................................114 4.2 Logistic .................................................................................121 5 CONCLUSION AND FUTURE WORK . 125 5.1 Boosting enablers to connect marginalized and remote communities ................126 5.2 Drivers and demands for unlocking digital agriculture transformation ................ 127 5.3 Impact, risks and benefits in the process of agriculture digitalization ..................128 5.4 Future work ...........................................................................129 6 REFERENCES . 131 ENDNOTES . 139 iv Figures Figure 2-1 Global mobile-cellular subscription per 100 inhabitants, 2016. .....................................9 Figure 2-2 Subscriber penetration and smartphone adoption (percent) by region, 2018. ................... 10 Figure 2-3 Global smartphone penetration (percent of population), 2018. ................................... 10 Figure 2-4 Global 3G coverage (percent of population), 2016 ..................................................11 Figure 2-5 Percentage of 2G, 3G and 4G coverage by region, 2018. ............................................12 Figure 2-6 Global active mobile-broadband subscription per 100 inhabitants, 2018.. 13 Figure 2-7 Global LTE/WiMAX (worldwide interoperability for microwave access) coverage (percent population), 2016. ....................................................................................14 Figure 2-8 Percentage of households with Internet access, 2016. .............................................15 Figure 2-9 Internet access in rural/urban areas for
Recommended publications
  • Digital Agribusiness Models”
    Int.J.Curr.Microbiol.App.Sci (2020) 9(8): 3030-3038 International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 8 (2020) Journal homepage: http://www.ijcmas.com Review Article https://doi.org/10.20546/ijcmas.2020.908.342 Innovations in Agriculture – A Case of “Digital Agribusiness Models” C. Muralidharan* Department of Social Sciences, Agricultural College and Research Insititute, Killikulam, Vallanad, Tuticorin District, India *Corresponding author ABSTRACT World population will increase at geometric rate of progression and an estimated 9.6 billion people and will require 70 percent more food than is available today. In order to increase the production efficiency, expertise in the domain of agriculture opined and K e yw or ds developed different agribusiness models to address the above aspects. In order to conduct this research, case study method was adopted to collect the necessary data and information Digital agriculture, from the entrepreneurs performing successful ventures in digital mode of agribusiness by Startups , Artificial adopting purposive sampling method. Secondary data pertaining to different countries Intelligence and were collected from the websites of digital agribusiness of their respective country. Digital Internet of Things agripreneurs enrolled in the Agribusiness incubation society were contacted personally to (IoT) collect the required data. M/s Kisangates Agro Informatics is an innovative startup with a motive to revolutionize business processes in agricultural ecosystem through strategic Article Info models and digital transformations that are synergistic with environment and business needs. Further, M/s Jeypee Biotechs, Virudhunagar developed the digital and ICT enabled Accepted: field advisory system model and executes networking among farmers on a common 24 July 2020 platform for dry chillies cultivation for export purposes.
    [Show full text]
  • Mali Overview Print Page Close Window
    World Directory of Minorities Africa MRG Directory –> Mali –> Mali Overview Print Page Close Window Mali Overview Environment Peoples History Governance Current state of minorities and indigenous peoples Environment The Republic of Mali is a landlocked state in West Africa that extends into the Sahara Desert in the north, where its north-eastern border with Algeria begins. A long border with Mauritania extends from the north, then juts west to Senegal. In the west, Mali borders Senegal and Guinea; to the south, Côte d'Ivoire; to the south-east Burkina Faso, and in the east, Niger. The country straddles the Sahara and Sahel, home primarily to nomadic herders, and the less-arid south, predominately populated by farming peoples. The Niger River arches through southern and central Mali, where it feeds sizeable lakes. The Senegal river is an important resource in the west. Mali has mineral resources, notably gold and phosphorous. Peoples Main languages: French (official), Bambara, Fulfulde (Peulh), Songhai, Tamasheq. Main religions: Islam (90%), traditional religions (6%), Christian (4%). Main minority groups: Peulh (also called Fula or Fulani) 1.4 million (11%), Senoufo and Minianka 1.2 million (9.6%), Soninké (Saracolé) 875,000 (7%), Songhai 875,000 (7%), Tuareg and Maure 625,000 (5%), Dogon 550,000 (4.4%) Bozo 350,000 (2.8%), Diawara 125,000 (1%), Xaasongaxango (Khassonke) 120,000 (1%). [Note: The percentages for Peulh, Soninke, Manding (mentioned below), Songhai, and Tuareg and Maure, as well as those for religion in Mali, come from the U.S. State Department background note on Mali, 2007; Data for Senoufo and Minianka groups comes from Ethnologue - some from 2000 and some from 1991; for Dogon from Ethnologue, 1998; for Diawara and Xaasonggaxango from Ethnologue 1991; Percentages are converted to numbers and vice-versa using the State Department's 2007 estimated total population of 12.5 million.] Around half of Mali's population consists of Manding (or Mandé) peoples, including the Bambara (Bamana) and the Malinké.
    [Show full text]
  • Agriculture 4.0 and Smart Sensors. the Scientific Evolution of Digital Agriculture: Challenges and Opportunities
    Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 31 May 2021 doi:10.20944/preprints202105.0758.v1 Article Agriculture 4.0 and Smart Sensors. The Scientific Evolution of Digital Agriculture: Challenges and Opportunities Michele Kremer Sott 1,*, Leandro da Silva Nascimento 2, Cristian Rogério Foguesatto 1, Leonardo B. Furstenau 2, Kadígia Faccin 1, Paulo Antônio Zawislak 2, Bruce Mellado 3, Jude Dzevela Kong 4 and Nicola Luigi Bragazzi 4,* 1 Unisinos University; [email protected] (M.K.S.), [email protected] (C.R.F.), [email protected] (K.F.) 2 Federal University of Rio Grande do Sul; [email protected] (L.B.F.), [email protected] (L.S.N.), [email protected] (P.A.Z.) 3 School of Physics and Institute for Collider Particle Physics, University of the Witwatersrand, Johannes- 7 burg, Wits 2050, South Africa; [email protected] 4 Department of Mathematics and Statistics, York University; [email protected] *Correspondence: [email protected] (M.K.S.); [email protected] (N.L.B.) Abstract: The agriculture sector is one of the backbones of many countries’ economies and its processes have been changing in order to enable technological adoption to increase productivity, quality, and sustainable development. In this research, we present a theoretical reflection through a scientific mapping of the adoption of precision techniques and breakthrough technologies in agriculture, the so-called Precision Agriculture (PA) and Agriculture 4.0 (A4.0). To do this, we used 4,694 documents from the Web of Science database to perform a Bibliometric Performance and Network Analysis (BPNA) of the literature with the support of the PICOC protocol and the SciMAT software.
    [Show full text]
  • Digital Agriculture and the Agridigit Project, Italy: Case Study Contribution to the OECD TIP Digital and Open Innovation Project
    2 │ Digital Agriculture and the AgriDigit project, Italy: Case study contribution to the OECD TIP Digital and Open Innovation project Authors: Marcello Donatellia, Michele Pisantea,b a CREA, Council for Agricultural Research and Economics b University of Teramo Digital Agriculture and the Agridigit project, Italy – Contribution to the OECD TIP Digital and Open Innovation project │ 3 Table of contents Introduction ........................................................................................................................................... 4 1. Digital transformation of the agri-food sector ................................................................................ 6 2. The effects of digital transformation on innovation practices in the agri-food sector ................ 8 3. The AgriDigit project ...................................................................................................................... 10 References ............................................................................................................................................ 16 Digital Agriculture and the Agridigit project, Italy – Contribution to the OECD TIP Digital and Open Innovation project 4 │ Introduction The rapid development of innovation in the field of digital agriculture and agri-food chain, albeit in a chaotic frame of individual proposals, has highlighted an opportunity for a change of paradigm in establishing productivity in farms and of production areas. This has created a link between the production phase and product
    [Show full text]
  • Social Mobility in China, 1645-2012: a Surname Study Yu (Max) Hao and Gregory Clark, University of California, Davis [email protected], [email protected] 11/6/2012
    Social Mobility in China, 1645-2012: A Surname Study Yu (Max) Hao and Gregory Clark, University of California, Davis [email protected], [email protected] 11/6/2012 The dragon begets dragon, the phoenix begets phoenix, and the son of the rat digs holes in the ground (traditional saying). This paper estimates the rate of intergenerational social mobility in Late Imperial, Republican and Communist China by examining the changing social status of originally elite surnames over time. It finds much lower rates of mobility in all eras than previous studies have suggested, though there is some increase in mobility in the Republican and Communist eras. But even in the Communist era social mobility rates are much lower than are conventionally estimated for China, Scandinavia, the UK or USA. These findings are consistent with the hypotheses of Campbell and Lee (2011) of the importance of kin networks in the intergenerational transmission of status. But we argue more likely it reflects mainly a systematic tendency of standard mobility studies to overestimate rates of social mobility. This paper estimates intergenerational social mobility rates in China across three eras: the Late Imperial Era, 1644-1911, the Republican Era, 1912-49 and the Communist Era, 1949-2012. Was the economic stagnation of the late Qing era associated with low intergenerational mobility rates? Did the short lived Republic achieve greater social mobility after the demise of the centuries long Imperial exam system, and the creation of modern Westernized education? The exam system was abolished in 1905, just before the advent of the Republic. Exam titles brought high status, but taking the traditional exams required huge investment in a form of “human capital” that was unsuitable to modern growth (Yuchtman 2010).
    [Show full text]
  • ITU-FAO Stocktaking Report: Digital Excellence in Agriculture in Europe and Central Asia
    Digital Excellence in Agriculture in Europe and Central Asia Good practices in the field of digital agriculture Stocktaking Report @ITU and @FAO | July 2021 -Living document- Please note that the content of this document was provided by the submitter and ITU and FAO are not accountable for the information displayed. 2 ACKNOWLEDGMENTS This report was developed by the ITU Office for Europe within the framework of the ITU Regional Initiative for Europe on information and communication technology-centric innovation ecosystems. It was elaborated by Mr Laszlo Papocsi and Mr Mihaly Csoto, with the support of Ms Daniela DiGianantonio and Mr Eugen Harabara. ITU and FAO would also like to acknowledge the contribution of Mr Rinor Ahmeti (FAO), Ms Sarah Delporte (ITU), Mr Victor Lagutov (FAO), Mr Thembani Malapela (FAO), Mr Valentin Nagy (FAO), Mr Farid Nakhli (ITU), Mr Joshua Oiro (ITU), and Ms Antonia Vanzini (ITU). The work has been undertaken under the supervision and direction of Mr Jaroslaw Ponder, Head of ITU Office for Europe, and Ms Sophie Treinen, Information and Knowledge Management Officer and Digital Agriculture Team Leader of FAO Regional Office for Europe and Central Asia. FAO and ITU would also like to express sincere gratitude to all the participants of the Regional Contest “Digital Excellence in Agriculture in Europe and Central Asia” for their valuable submissions. Please note that the content of this document was provided by the submitter and ITU and FAO are not accountable for the information displayed. 3 DISCLAIMER ITU and FAO. 2021. Digital Excellence in Agriculture in Europe and Central Asia - Call for good practices in the field of digital agriculture - Stocktaking Report.
    [Show full text]
  • Yang Shao-Horn
    YANG SHAO-HORN W.M. Keck Professor of Energy Massachusetts Institute of Technology Professor Shao-Horn is W.M. Keck Professor of Energy at the Massachusetts Institute of Technology (M.I.T.), as well as Professor of Mechanical Engineering and Materials Science and Engineering. Professor Shao-Horn earned her B.S. degree from Beijing University of Technology and her Ph.D. degree from Michigan Technological University both in Metallurgical and Materials Engineering. She joined the M.I.T. faculty in 2002. Professor Shao-Horn’s research programs are centered on exploiting chemical/materials physics and physical/materials chemistry principles to understand charge transfer at the solid-gas and solid-liquid interface, which is used to design materials/processes and control the kinetics of (electro)chemical reactions, critical to enable the deployment of clean air and clean energy technologies. Professor Shao- Horn and coworkers have pioneered the use of electronic structure to develop universal guiding principles, and design interfaces with activity, reactivity and stability to enhance function/performance across a number of applications spanning from oxidation of air pollutants, making of sustainable or solar fuels via water splitting, CO2 or nitrogen reduction (Hwang et al., Science 2017), to charge transfer at the electrode/electrolyte interface of rechargeable lithium-ion and lithium-air batteries. Research programs include experimental and computational components including synthesis, (electro)chemical measurements, synchrotron X-ray diffraction and spectroscopy, electron- and light- based imaging and spectroscopy, and Density Functional Theory computation. Professor Shao-Horn and her coworkers are highly interdisciplinary and collaborate closely with other leading labs and private sectors in chemical, automotive, and energy industry.
    [Show full text]
  • The Implications of Digital Agriculture and Big Data for Australian Agriculture
    research report April 2016 The Implications of Digital Agriculture and Big Data for Australian Agriculture © 2016 Australian Farm Institute ISBN 978-1-921808-38-8 (Print and Web) Australia’s Independent Farm Policy Research Institute The Australian Farm Institute The Australian Farm Institute is an agricultural policy research organisation that has been established to develop and promote public policies that maximise the opportunity for Australian farmers to operate their businesses in a profitable and sustainable manner. To do this, the Institute carries out or contracts leading academics and consultants to conduct research into farm policy issues that the Institute’s Research Advisory Committee has identified as being of high strategic importance for Australian farmers. The Institute has a commitment to ensuring research findings are the conclusion of high quality, rigorous and objective analysis. The Australian Farm Institute promotes the outcomes of the research to policy-makers and the wider community. The Australian Farm Institute Limited is incorporated as a company limited by guarantee and commenced operations on 23 March 2004. The Institute is governed by a Board of Directors who determine the strategic direction for the Institute. The Institute utilises funding voluntarily contributed by individuals and corporations to perform its activities. Initial seed funding has been contributed by the NSW Farmers’ Association. Vision Farm policies that maximise the opportunity for Australian farmers to operate their businesses in a profitable and sustainable manner. Objective To enhance the economic and social wellbeing of farmers and the agricultural sector in Australia by conducting highly credible public policy research, and promoting the outcomes to policy-makers and the wider community.
    [Show full text]
  • Urban Bites and Agrarian Bytes: Digital Agriculture and Extended Urbanization
    Berkeley Planning Journal 31 100 Urban Bites and Agrarian Bytes: Digital Agriculture and Extended Urbanization TIMOTHY RAVIS AND BENJAMIN NOTKIN Abstract Capitalist agriculture faces a crisis. Plateauing yields and profts are driving up food prices, and the ability to continue the traditional practice of expanding into new, un-commodifed territories appears to be waning. This crisis is due in large part to the accelerating biophysical contradictions of industrial agriculture, which systematically undermine the ecological conditions for its own success in pursuit of proft. We investigate how digital technologies are deployed as a potential data fx that does not solve the crisis but merely staves it of. We situate these technologies within the material context of capitalist urbanization, along the way arguing for bringing information back into the neo-Lefebvrian framework of “extended” or “planetary” urbanization. Digital agriculture technologies continue the centralization of economic knowledge and power as they facilitate the transformation of vast territories into “operational landscapes” that provide the material, energy, and labor for a rapidly expanding urban system. Keywords: Digital Agriculture, Precision Agriculture, Extended Urbanization, Planetary Urbanization, Globalization, Agrarian Studies, Depeasantization, Globalization, Computation “Eventually, precision agriculture could take humans out of the loop entirely. Once that happens, the world won’t just see huge gains in productivity. It will see a fundamental shif in the history of agriculture: farming without farmers.” —Foreign Afairs Magazine (Lowenberg-DeBoer 2015) “99% of all technological disruption is there to merely ensure that nothing of substance gets disrupted at all.” —Evgeny Morozov (2019) Introduction: Feeding “the Next Two Billion” Hundreds of reports and articles begin with a variation on the same apocalyptic exhor- tation: The combination of population growth, food price volatility, and climate change demands a new agricultural revolution to expand and secure the global food supply.
    [Show full text]
  • Value Creation in the Digital Agribusiness Network Transform and Grow to Sustainably Feed the World
    Value Creation in the Digital Agribusiness Network Transform and Grow to sustainably feed the world - 1 - SAP Digital Agribusiness Whitepaper (03/16) © 2016 SAP SE. All rights reserved ANJA’S POINT OF VIEW Dear Customers, The world population is growing to upwards of 10 billion people by the middle of the century.1 This growth combined with urbanization and the rise of the middle class will increase the demand for healthy, fairly produced, and sustainable food and will require agricultural production to double.2 To succeed, we need smart solutions from farm to fork. We expect the digitization of agribusiness to play a key role in solving this challenge. New processes and technologies optimize seed selection, irrigation, fertilization, and crop protection; automate farming work with autonomous equipment; optimize asset utilization; and streamline the food supply chain to avoid waste. But even in a high-tech economy, agriculture is still exposed to the weather, crop and animal diseases, and substantial fluctuations on commodity markets. Predictive analytics and simulations enable optimized risk mitigation strategies. Digital technology is turning the farm into a digital enterprise and the farmer into a digital entrepreneur. Farmers stand in the center of a complex ecosystem of farming equipment manufacturers, food "Digital technology and processors, and agrichemical specialists. At the same time, consumer behavior is changing collaboration are key radically. Consumers are the focus point of the food industry. They want to know the origin of their food and how it was produced and processed, driving the need for transparency along the enablers to provide end-to-end agribusiness supply chain.
    [Show full text]
  • The French in West Africa
    The French in West Africa http://courses.wcupa.edu/jones/his312/lectures/fren-occ.htm The French in West Africa by Jim Jones (Copyright 2014, All Rights Reserved) Go to the syllabus , the reading on Egypt or the reading on British imperialism. Contents 1. Introduction 2. Algeria 3. Senegal 4. Soudan 5. Ivory Coast 6. Dahomey 7. French Motivation for Imperialism INTRODUCTION France's experience in Africa was conditioned by two things. First, France had a longstanding interest in the region bordering the Mediterranean Sea thanks to its own coast line between Italy and Spain, its active role in the Crusades and its incorporation into the Roman Empire. Second, France lost most of its original overseas empire in the Seven Years War (1756-1763) and the Napoleonic Wars (1790s-1815) and it Locations mentioned in this reading suffered a major setback in its defeat in the Franco-Prussian War 1 of 6 10/17/16, 1:40 PM The French in West Africa http://courses.wcupa.edu/jones/his312/lectures/fren-occ.htm (1870-1871). Thus, French imperialism was an effort to regain lost power rather than a continuation of previous successes, and its African empire grew out of developments along the North African coast. ALGERIA The French first occupied African soil in Algeria in 1830. Relations between France and Algiers had long been adversarial, such as when Louis XIV ordered the bombardment of Algiers in 1684 as part of an effort to retrieve Christian slaves. The French launched raids against the cities of North Africa's "Barbary Coast" after the Napoleonic Wars, charging that they harbored pirates.
    [Show full text]
  • ICMJE Form for Disclosure of Potential Conflicts of Interest
    ICMJE Form for Disclosure of Potential Conflicts of Interest Instructions The purpose of this form is to provide readers of your manuscript with information about your other interests that could influence how they receive and understand your work. The form is designed to be completed electronically and stored electronically. It contains programming that allows appropriate data display. Each author should submit a separate form and is responsible for the accuracy and completeness of the submitted information. The form is in six parts. 1. Identifying information. 2. The work under consideration for publication. This section asks for information about the work that you have submitted for publication. The time frame for this reporting is that of the work itself, from the initial conception and planning to the present. The requested information is about resources that you received, either directly or indirectly (via your institution), to enable you to complete the work. Checking "No" means that you did the work without receiving any financial support from any third party -- that is, the work was supported by funds from the same institution that pays your salary and that institution did not receive third-party funds with which to pay you. If you or your institution received funds from a third party to support the work, such as a government granting agency, charitable foundation or commercial sponsor, check "Yes". 3. Relevant financial activities outside the submitted work. This section asks about your financial relationships with entities in the bio-medical arena that could be perceived to influence, or that give the appearance of potentially influencing, what you wrote in the submitted work.
    [Show full text]