Farm Data Management Sharing And Services For Agriculture Development
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Farm data management, sharing and services for agriculture development by Food and Agriculture Organization of the United Nations Pdf
This book aims to strengthen the skills of professionals who use, manage data for the benefit of farmers and farmers organizations by exposing them to the topics of importance of data in the agriculture value chain and how new and existing technologies, products and services can leverage farm level and global data to improve yield, reduce loss, add value and increase profitability and resilience.
Farm Management Research for Small Farmer Development by John L. Dillon,J. B. Hardaker Pdf
The small farm setting. Definition of farm management research. Conduct of farm management research. The need for farm management research on small farms. Approaches to farm management research on small farms. Role of farm management research techniques...
Improving Data Management and Decision Support Systems in Agriculture by Leisa Armstrong Pdf
This collection reviews and summarises the wealth of research on key challenges in developing better data management and decision support systems (DSS) for farmers and examples of how those systems are being deployed to optimise efficiency in crop and livestock production. Part 1 reviews general issues underpinning effective decision support systems (DSS) such as data access, standards, tagging and security. Part 2 contains case studies of the practical application of data management and DSS in areas such as crop planting, nutrition and use of rotations, livestock feed and pasture management as well as optimising supply chains for fresh produce. With its distinguished editor and international team of authors, Improving data management and decision support systems in agriculture will be a standard reference for researchers in agriculture and computer science interested in improving data management, modelling and decision support systems in farming, as well as government and other agencies supporting the use of precision farming techniques, and companies supplying decision support services to the farming sector.
Farmer profiling: Making data work for smallholder farmers by Addison, C.,Boyera, S.,Msengezi, C. Pdf
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?
Encyclopedia of Digital Agricultural Technologies by Qin Zhang Pdf
Digital agriculture is an emerging concept of modern farming that refers to managing farms using modern Engineering, Information and Communication Technologies (EICT) aiming at increasing the overall efficiency of agricultural production, improving the quantity and quality of products, and optimizing the human labor required and natural resource consumption in operations. This encyclopedia is designed to collect the summaries of knowledge on as many as subjects or aspects relevant to ECIT for digital agriculture, present such knowledge in entries, and arrange them alphabetically by articles titles. Springer Major Reference Works platform offers Live Update capability. Our reference work takes full advantage of this feature, which allows for continuous improvement or revision of published content electronically. The Editorial Board Dr. Irwin R. Donis-Gonzalez, University of California Davis, Dept. Biological and Agricultural Engineering, Davis, USA (Section: Postharvest Technologies) Prof. Paul Heinemann, Pennsylvania State University, Department Head of Agricultural and Biological Engineering, PA, USA (Section: Technologies for Crop Production) Prof. Manoj Karkee, Washington State University, Center for Precision and Automated Agricultural Systems, Washington, USA (Section: Robotics and Automation Technologies) Prof. Minzan Li, China Agricultural University, Beijing, China (Section: Precision Agricultural Technologies) Prof. Dikai Liu, University of Technology Sydney (UTS),Faculty of Engineering & Information Technologies, Broadway NSW, Australia (Section: AI, Information and Communication Technologies) Prof. Tomas Norton, University of Leuven, Dept. of Biosystems, Heverlee Leuven, Belgium (Section: Technologies for Animal and Aquatic Production) Dr. Manuela Zude-Sasse, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Precision Horticulture, Potsdam, Germany (Section: Engineering and Mechanization Technologies)
National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Improving Data Collection and Reporting about Agriculture with Increasingly Complex Farm Structures
Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Improving Data Collection and Reporting about Agriculture with Increasingly Complex Farm Structures Publisher : National Academies Press Page : 199 pages File Size : 43,8 Mb Release : 2019-01-21 Category : Social Science ISBN : 9780309484633
Improving Data Collection and Measurement of Complex Farms by National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Improving Data Collection and Reporting about Agriculture with Increasingly Complex Farm Structures Pdf
America's farms and farmers are integral to the U.S. economy and, more broadly, to the nation's social and cultural fabric. A healthy agricultural sector helps ensure a safe and reliable food supply, improves energy security, and contributes to employment and economic development, traditionally in small towns and rural areas where farming serves as a nexus for related sectors from farm machinery manufacturing to food processing. The agricultural sector also plays a role in the nation's overall economic growth by providing crucial raw inputs for the production of a wide range of goods and services, including many that generate substantial export value. If the agricultural sector is to be accurately understood and the policies that affect its functioning are to remain well informed, the statistical system's data collection programs must be periodically revisited to ensure they are keeping up with current realities. This report reviews current information and makes recommendations to the U.S. Department of Agriculture's (USDA's) National Agricultural Statistics Service (NASS) and Economic Research Service (ERS) to help identify effective methods for collecting data and reporting information about American agriculture, given increased complexity and other changes in farm business structure in recent decades.
Open Access Implications for Sustainable Social, Political, and Economic Development by Jain, Priti,Mnjama, Nathan,Oladokun, O. Pdf
Open access publishing can be used as a strategic tool to avail access to information and achieve universal literacy. Open access has gained importance over the past 15 years by making knowledge available to all, without any barrier of affordability or restrictions on using this knowledge to inform and develop. Open access contributes to scientific research excellence, disseminates research results to a wider community, and promotes multi-disciplinary and collaborative research. Issues of sustainable development and open access are major concerns in librarianship and information management, particularly as the international library and information management community is focusing on how to contribute to the Sustainable Development Goals. Open Access Implications for Sustainable Social, Political, and Economic Development is a pivotal reference source that provides an understanding of the concept of open access within the context of social, political, and economic development and deliberates the critical issues and challenges that face the implementation of open access and its impact on the global economy and sustainable development. While highlighting a broad range of topics including digital scholarship, open data, and ethics, this book is ideally designed for librarians, information science professionals, government officials, policymakers, academicians, researchers, and students.
Agile Data-Oriented Research Tools to Support Smallholder Farm System Transformation by James Hammond,Mark Van Wijk,Aniruddha Ghosh,Tim Pagella,Jacob Van Etten Pdf
Smallholder farming systems contribute a substantial quantity of the food consumed in many lower and middle-income countries and contribute to the national and local economies. Despite the importance of smallholder farming, a transformation is needed in order to deliver food security and decent incomes for the farmers themselves and at the national level. This transformation must also be sustainable in terms of environmental impacts and social equity in order to be successful in the long term. The pressures of population growth, climate change, and land fragmentation compound the problem. Addressing these overlapping issues is a big challenge. One obstacle is the lack of good quality granular data linking these issues together. Household surveys are the workhorse method for gathering such data, but there are well-known problems that prevent household survey data from building up a “big picture” and delivering insights beyond the geographical boundary of each individual study. Such obstacles include the lack of access to datasets, differences in survey design, and respondent biases. Agile, data-oriented research tools can help to overcome these challenges. We use the term “agile” to imply methods that do not attempt exhaustive measurements, which are designed to be easy to use, and which entail some degree of flexibility in terms of adaptation to local conditions and integration with other tools or methods. Often these methods also nudge the behavior of tool users towards best practices. In recent years various research tools and approaches have been published which fit within our definition of “agile data-oriented research tools”. The domains these tools function in include monitoring and evaluation, intervention targeting, tailored information delivery, citizen science, credit scoring, and user feedback collection; all with the over-arching aim to improve data quality and access for those studying the sustainable development of smallholder farming systems. The goal of this Research Topic is to better define that niche, the ecosystem of tools and current practices, and to explore how such approaches can provide the underpinning knowledge required for the transformation of smallholder farming systems. One example of an agile data-oriented research tool is the Rural Household Multi-Indicator Survey (RHoMIS). It is a modular, digital system for building household surveys addressing the common topics in smallholder development. It was purposefully designed to give a broad overview of the farm system whist keeping survey duration to a minimum, to be user-friendly in implementation, and to be sufficiently flexible to function in a broad variety of locations and projects. Since 2015 it has been used by 30 organizations in 32 countries to interview over 34,000 households. The tool and database are open access and a community of practice is developing around the tool. We particularly welcome contributions that engage with the RHoMIS tool and data. However, we also describe the tool in order to provide an example of what is meant by an agile data-oriented research tool, and welcome contributions focusing on other tools or methodologies. We encourage the submission of manuscripts addressing the above topic, and those which fit within one of the following three sub-themes: (i) Perspectives or review articles which explore the niche, best practices, or promising approaches in agile data-oriented research tools for smallholder farm system transformation. Also, technology and code articles that describe new tools are welcomed. (ii) Original research articles presenting analyses based on data derived from agile data-oriented tools used at the project level. Examples include impact evaluations, adoption studies, targeting studies, or adaptive management, and should reflect on the additional benefit leveraged by the agile method applied. (iii) Original research articles that make use of the large amounts of data generated by such agile methods and/or link between agile data and other data sources. Examples include meta-analyses of data from multiple studies, layering data collected from different agile tools, or linking agile data to remote sensing or large-scale modeling outputs.
FAO publications catalogue 2021 by Food and Agriculture Organization of the United Nations Pdf
This catalogue aims to improve the dissemination and outreach of FAO’s knowledge products and overall publishing programme. By providing information on its key publications in every area of FAO’s work, and catering to a range of audiences, it thereby contributes to all organizational outcomes. From statistical analysis to specialized manuals to children’s books, FAO publications cater to a diverse range of audiences. This catalogue presents a selection of FAO’s main publications, produced in 2021 or earlier, ranging from its global reports and general interest publications to numerous specialized titles. In addition to the major themes of agriculture, forestry and fisheries, it also includes thematic sections on climate change, economic and social development, and food safety and nutrition.
Digital tools and agricultural market transformation in Africa: Why are they not at scale yet, and what will it take to get there? by Abay, Kibrom A.,Abate, Gashaw Tadesse,Chamberlin, Jordan,Kassim, Yumna,Spielman, David J. Pdf
This paper presents results from a framed field experiment in which participants make decisions about extraction of a common-pool resource, a community forest. The experiment was designed and piloted as both a research activity and an experiential learning intervention during 2017-2018 with 120 groups of resource users (split by gender) from 60 habitations in two Indian states, Andhra Pradesh and Rajasthan. We examine whether local beliefs and norms about community forest, gender of participants, within-experiment treatments (non-communication, communication, and optional election of institutional arrangements (rules)) and remuneration methods affect harvest behaviour and groups’ tendency to cooperate. Furthermore, we explore whether the experiment and subsequent community debriefing had learning effects. Results reveal a “weak” Nash Equilibrium in which participants harvested substantially less than the Nash prediction even in the absence of communication, a phenomenon stronger for male than female participants in both states. For male groups in both states, both communication and optional rule election are associated with lower group harvest per round, as compared to the reference non-communication game. For female groups in both states, however, communication itself did not significantly slow down resource depletion; but the introduction of optional rule election did reduce harvest amounts. For both men and women in Andhra Pradesh and men in Rajasthan, incentivized payments to individual participants significantly lowered group harvest, relative to community flat payment, suggesting a possible “crowding-in” effect on pro-social norms. Despite the generally positive memory of the activity, reported actual changes are limited. This may be due to the lack of follow-up with the communities between the experiment and the revisit. The fact that many of the communities already have a good understanding of the importance of the relationships between (not) cutting trees and the ecosystem services from forests, with rules and strong internal norms against cutting that go beyond the felling of trees in the game, may have also meant that the game did not have as much to add. Findings have methodological and practical implications for designing behavioral intervention programs to improve common-pool resource governance.
Big Data in Context by Thomas Hoeren,Barbara Kolany-Raiser Pdf
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.
E-agriculture in action by Food and Agriculture Organization of the United Nations Pdf
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.
Smallholder Agriculture and Market Participation by Food and Agriculture Organization of the United Nations Pdf
Smallholder Agriculture and Market Participation discusses the evolution of policies for smallholder development, including the role of value chains, and the linkages that exist with the Sustainable Development Goals. New, innovative financial mechanisms and linked initiatives are outlined, and their potential to improve the availability of financial services and reduce market transaction costs. Risk management for agricultural smallholders is covered, together with the increasing role of insura nce as a mechanism for risk management among smallholders. Empirical data are used to illustrate the more conceptual work. The last part of the book provides case studies of selected commodity value chain investments involving smallholders in Africa (Ethiopia, Tanzania and Zimbabwe) and South America (Peru), implemented by FAO. The lessons concern project design and targeting, product and market analysis, regulatory issues, sustainability and improved natural resources management.
Food systems transformation in Kenya: Lessons from the past and policy options for the future Loading... Files Full Book (7.78 MB, pdf) Chapters List (73 KB, pdf) Authors Breisinger, Clemens Keenan, Michael Mbuthia, Juneweenex Njuki, Jemimah Date Issued 2023-12-20 Language en Type Book Review Status Peer Review Access Rights Open Access Open Access Usage Rights CC-BY-4.0 Metadata Sha by Breisinger, Clemens,Keenan, Michael,Mbuthia, Juneweenex,Njuki, Jemimah Pdf
The new Kenyan government faces a complex domestic and global environment, and it is widely expected to address key food and agricultural challenges with a new set of policies and programs. This policy brief presents key recommendations from a forthcoming book, Food Systems Transformation in Kenya: Lessons from the Past and Policy Options for the Future, which provides research-based “food for thought and action” to support the Kenyan government’s efforts to improve food security.
