Farm Data Serving Smallholder Farmers In A Digital Age
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Farm Data Serving Smallholder Farmers In A Digital Age
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Author : CTA
language : en
Publisher: CTA
Release Date : 2018-08-28
Farm Data Serving Smallholder Farmers In A Digital Age written by CTA and has been published by CTA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-28 with Business & Economics categories.
Spore magazine 190: Farm data: Serving smallholder farmers in a digital age Increasing amounts of agricultural data are being produced at faster speeds, using a greater variety of technologies and innovations than ever before. But what is the value of information sharing for smallholders, and what are the risks? SPORE is the quarterly magazine of the Technical Centre for Agricultural and Rural Cooperation (CTA), offering a global perspective on agribusiness and sustainable agriculture. CTA operates under the Cotonou Agreement between the countries of the Africa, Caribbean and Pacific (ACP) group and the European Union and is financed by the EU.
Farmer Profiling Making Data Work For Smallholder Farmers
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Author : Addison, C.
language : en
Publisher: CTA
Release Date : 2017-11-28
Farmer Profiling Making Data Work For Smallholder Farmers written by Addison, C. and has been published by CTA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-28 with Technology & Engineering categories.
The study presented in this report was commissioned by the Technical Centre for Agricultural and Rural Cooperation (CTA) as a member of the Global Open Data for Agriculture & Nutrition (GODAN) initiative, and was conducted by SB Consulting (SBC4D). The objective of the research is to understand the role of farmer organisations (FO) and cooperatives in the agriculture data ecosystem. These organisations have long been recognised to play an important role in society that translates into the improvement of living conditions of their members, particularly the low-income earning population. More than 40% of households in Africa are member of a cooperative society ([ILO-2000]) and the cooperative movement is Africa’s biggest nongovernmental organisation. The key question this report explores is the role of these organisations in the emergent “data revolution.” How can they ensure that this data revolution benefits their members and the smallholder farmers in general, and at the same time contribute to the revolution by providing valuable information to policy makers or other stakeholders of the ecosystem?
Ict Update 89
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Author : CTA
language : en
Publisher: CTA
Release Date : 2018-12-31
Ict Update 89 written by CTA and has been published by CTA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-31 with Technology & Engineering categories.
In order to feed 9 billion people by 2050, sustainable agricultural growth in needed, supporting an agricultural sector which produces enough food, which is inclusive and resilient, and which makes optimal use of innovation and digital solutions. Smallholder and family farmers must play a key role in achieving this. About 80% of the world’s food supply is produced by small-scale and family farmers, yet their full production potential is hardly reached. To strengthen resilience and productivity of these smallholder farmers, they need an enabling environment that supports their access to critical resources such as finance, markets, inputs, information and technical solutions. This issue of ICT Update uncovers the power of organised smallholder farmers. Through a series of case studies, we explore how farmers’ organisations can make use of farmer data to enable access to resources, thereby strengthening the resilience, voice, or livelihoods of smallholder farmers.
The Digitalisation Of African Agriculture Report 2018 2019
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Author : Tsan, Michael
language : en
Publisher: CTA
Release Date : 2019-06-30
The Digitalisation Of African Agriculture Report 2018 2019 written by Tsan, Michael and has been published by CTA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-30 with Technology & Engineering categories.
An inclusive, digitally-enabled agricultural transformation could help achieve meaningful livelihood improvements for Africa’s smallholder farmers and pastoralists. It could drive greater engagement in agriculture from women and youth and create employment opportunities along the value chain. At CTA we staked a claim on this power of digitalisation to more systematically transform agriculture early on. Digitalisation, focusing on not individual ICTs but the application of these technologies to entire value chains, is a theme that cuts across all of our work. In youth entrepreneurship, we are fostering a new breed of young ICT ‘agripreneurs’. In climate-smart agriculture multiple projects provide information that can help towards building resilience for smallholder farmers. And in women empowerment we are supporting digital platforms to drive greater inclusion for women entrepreneurs in agricultural value chains.
Big Data For Smallholder Farmers
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Author : Pedrick, Clare
language : en
Publisher: CTA
Release Date : 2019-02-01
Big Data For Smallholder Farmers written by Pedrick, Clare and has been published by CTA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-01 with Technology & Engineering categories.
There is massive scope for linking farmers to valuable knowledge and agricultural services through Information and Communication Technologies (ICTs) as a pathway to driving improved productivity and market access, creating opportunities for higher incomes and better food security as a result. In Uganda, as in many sub-Saharan countries, lack of timely and accurate access to information about weather, financial services, crop management, markets and climate coping mechanisms is a serious obstacle for smallholder farmers, preventing them from achieving higher yields and selling their produce for better prices. To address these challenges, an innovative initiative is showcasing how ICTs can be used to capture satellite-based information on a wide range of agricultural indicators, packaging it into tailor-made messages for farmers in local languages.
Digital Technologies In Agriculture And Rural Areas
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Author : Food and Agriculture Organization of the United Nations
language : en
Publisher: Food & Agriculture Org.
Release Date : 2019-06-01
Digital Technologies In Agriculture And Rural Areas written by Food and Agriculture Organization of the United Nations and has been published by Food & Agriculture Org. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-01 with Social Science categories.
This report aims to identify the different scenarios where the process of digital transformation is taking place in agriculture. This identifies those aspects of basic conditions, such as those of infrastructure and networks, affordability, education and institutional support. In addition, enablers are identified, which are the factors that allow adopting and integrating changes in the production and decision-making processes. Finally identify through cases, existing literature and reports how substantive changes are taking place in the adoption of digital technologies in agriculture.
Big Data In Context
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Author : Thomas Hoeren
language : en
Publisher: Springer
Release Date : 2017-10-17
Big Data In Context written by Thomas Hoeren and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-17 with Law categories.
This book is open access under a CC BY 4.0 license. This book sheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features legal, sociological and economic approaches to fundamental big data topics such as privacy, data quality and the ECJ’s Safe Harbor decision on the one hand, and practical applications such as smart cars, wearables and web tracking on the other. Addressing the interests of researchers and practitioners alike, it provides a comprehensive overview of and introduction to the emerging challenges regarding big data.All contributions are based on papers submitted in connection with ABIDA (Assessing Big Data), an interdisciplinary research project exploring the societal aspects of big data and funded by the German Federal Ministry of Education and Research.This volume was produced as a part of the ABIDA project (Assessing Big Data, 01IS15016A-F). ABIDA is a four-year collaborative project funded by the Federal Ministry of Education and Research. However the views and opinions expressed in this book reflect only the authors’ point of view and not necessarily those of all members of the ABIDA project or the Federal Ministry of Education and Research.
Towards Responsible Plant Data Linkage Data Challenges For Agricultural Research And Development
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Author : Hugh F. Williamson
language : en
Publisher: Springer Nature
Release Date : 2022-10-26
Towards Responsible Plant Data Linkage Data Challenges For Agricultural Research And Development written by Hugh F. Williamson and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-26 with Science categories.
This open access book provides the first systematic overview of existing challenges and opportunities for responsible data linkage, and a cutting-edge assessment of which steps need to be taken to ensure that plant data are ethically shared and used for the benefit of ensuring global food security – one of the UN’s Sustainable Development Goals. The volume focuses on the contemporary contours of such challenges through sustained engagement with current and historical initiatives and discussion of best practices and prospective future directions for ensuring responsible plant data linkage. The volume is divided into four sections that include case studies of plant data use and linkage in the context of particular research projects, breeding programs, and historical research. It address technical challenges of data linkage in developing key tools, standards and infrastructures, and examines governance challenges of data linkage in relation to socioeconomic and environmental research and data collection. Finally, the last section addresses issues raised by new data production and linkage methods for the inclusion of agriculture’s diverse stakeholders. This book brings together leading experts in data curation, data governance and data studies from a variety of fields, including data science, plant science, agricultural research, science policy, data ethics and the philosophy, history and social studies of plant science.
E Agriculture In Action
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Author : Food and Agriculture Organization of the United Nations
language : en
Publisher: Food & Agriculture Org.
Release Date : 2019-07-15
E Agriculture In Action written by Food and Agriculture Organization of the United Nations and has been published by Food & Agriculture Org. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-15 with Technology & Engineering categories.
According to Forbes, we generate almost 2.5 quintillion bytes of data every day. The next generation of agriculture heavily depends on data. The ability to capture, sort, analyze and extract actionable intelligence from large data sets to reveal patterns (human, climate, market) and related trends is an important emerging field. The increase in the use of Internet of Things (IoT) devices would only add to this data deluge. The Economist rightly called data as the world’s most valuable resource , while some calling data the new oil . Agriculture would be one of the major users of IoTs. How can individuals, organizations and governments build capacities and processes in place to take advantage of this huge influx of data. This coupled with existing data streams (weather, satellite imagery, markets etc.,) would create an ecosystem which if managed efficiently would provide rich dividents especially in the agriculture sector where the right information at the right time will make a great influence in the livelihoods of people involved in agriculture and allied activities. This publication looks at how various initiatives are leveraging data, related to agriculture value chains, to influence decision making and efficient service delivery together with addressing key building blocks such as interoperability, data sharing, data security and the necessary policies and regulations that are needed to be implemented to sustain the data ecosystem.
Machine Learning And Artificial Intelligence For Agricultural Economics
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Author : Chandrasekar Vuppalapati
language : en
Publisher: Springer Nature
Release Date : 2021-10-04
Machine Learning And Artificial Intelligence For Agricultural Economics written by Chandrasekar Vuppalapati and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-04 with Business & Economics categories.
This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications. The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization. Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors.