Introduction; Organizing farm surveys; Introducing the survey; Data-gathering methods; Obtaining the data; Selecting a sample; Summarizing the data; Frequency distributions; Relative changes; Measuring fields; Estimating crop production; Sources of error in data; Natural constraints on farming; Farming practices; Agricultural economics; Net profit from crop cultivation; Other household income; Constraints on changes in farming practices.

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?

Due to the widespread use of surveys in agricultural resources estimation there is a broad and recognizable interest in methods and techniques to collect and process agricultural data. This book brings together the knowledge of academics and experts to increase the dissemination of the latest developments in agricultural statistics. Conducting a census, setting up frames and registers and using administrative data for statistical purposes are covered and issues arising from sample design and estimation, use of remote sensing, management of data quality and dissemination and analysis of survey data are explored. Key features: Brings together high quality research on agricultural statistics from experts in this field. Provides a thorough and much needed overview of developments within agricultural statistics. Contains summaries for each chapter, providing a valuable reference framework for those new to the field. Based upon a selection of key methodological papers presented at the ICAS conference series, updated and expanded to address current issues. Covers traditional statistical methodologies including sampling and weighting. This book provides a much needed guide to conducting surveys of land use and to the latest developments in agricultural statistics. Statisticians interested in agricultural statistics, agricultural statisticians in national statistics offices and statisticians and researchers using survey methodology will benefit from this book.

Farming for Our Future examines the policies and legal reforms necessary to accelerate the adoption of practices that can make agriculture in the United States climate-neutral or better. These proven practices will also make our food system more resilient to the impacts of climate change. Agriculture's contribution to climate change is substantial--much more so than official figures suggest--and we will not be able to achieve our overall mitigation goals unless agricultural emissions sharply decline. Fortunately, farms and ranches can be a major part of the climate solution, while protecting biodiversity, strengthening rural communities, and improving the lives of the workers who cultivate our crops and rear our animals. The importance of agricultural climate solutions can not be underestimated; it is a critical element both in ensuring our food security and limiting climate change. This book provides essential solutions to address the greatest crises of our time.

This report provides an overview of a study conducted in the NENA region in 2015-2016 in partnership with FAO, CIRAD, CIHEAM-IAMM and six national teams, each of which prepared a national report. In the six countries under review in the NENA region (Egypt, Lebanon, Morocco, Mauritania, Sudan and Tunisia), agriculture is carried out primarily by small-scale family farmers, the majority of whom run the risk of falling into the poverty trap, largely due to the continuous fragmentation of inherited landholdings. As such, the development of small-scale family farming can no longer be based solely on intensifying agriculture, as the farmers are not able to produce sufficient marketable surplus due to the limited size of their landholdings. An approach based strictly on agricultural activity is also insufficient (as small-scale family farms have already diversified their livelihoods with off-farm activities). In fact, developing small-scale farming cannot be achieved by focusing strictly on t he dimension of production.

A transgenic organism is a plant, animal, bacterium, or other living organism that has had a foreign gene added to it by means of genetic engineering. Transgenic plants can arise by natural movement of genes between species, by cross-pollination based hybridization between different plant species (which is a common event in flowering plant evolution), or by laboratory manipulations by artificial insertion of genes from another species. Methods used in traditional breeding that generate transgenic plants by non-recombinant methods are widely familiar to professional plant scientists, and serve important roles in securing a sustainable future for agriculture by protecting crops from pest and helping land and water to be used more efficiently.There is worldwide interest in the biosafety issues related to transgenic crops because of issues such as increased pesticide use, increased crop and weed resistance to pesticides, gene flow to related plant species, negative effects on nontarget organisms, and reduced crop and ecosystem diversity. This book is intended to provide the basic information for a wide range of people involved in the release of transgenic crops. These will include scientists and researchers in the initial stage of developing transgenic products, industrialists, and decision makers. It will be of particular interest to plant scientists taking up biotechnological approaches to agricultural improvement for developing nations. - Discusses traditional and future technology for genetic modification - Compares conventional non-GM approaches and genetic modification - Presents a risk assessment methodology for GM techniques - Details mitigation techniques for human and environmental effects

This book provides a comprehensive guide to collecting and managing farm-level agricultural data in developing countries. Many development workers face the need to collect data for planning, monitoring or evaluation of a project, or to use data collected by other people. The book explains how to plan, design and manage a survey, and introduces basic analysis and report writing. Unlike other books in this field, the authors deal with the statistical aspects of practical sample designs, and give worked examples to help the reader. The techniques and practical advice will help readers who are collecting data to improve the quality of their surveys and will help people who have to use data assess how reliable those data are.

This book presents the basic model of an agricultural household that underlies most of the case studies undertaken so far. The model assumes that households are price-takers and is therefore recursive. The decisions modeled include those affecting production and the demand for inputs and those affecting consumption and the supply of labor. Comparative results on selected elasticities are presented for a number of economies. The empirical significance of the approach is demonstrated in a comparison of models that treat production and consumption decisions separately and those in which the decisionmaking process is recursive. The book summarizes the implications of agricultural pricing policy for the welfare of farm households, marketed surplus, the demand for nonagricultural goods and services, the rural labor market, budget revenues, and foreign exchange earnings. In addition, it is shown that the basic model can be extended in order to explore the effects of government policy on crop composition, nutritional status, health, saving, and investment and to provide a more comprehensive analysis of the effects on budget revenues and foreign exchange earnings. Methodological topics, primarily the data requirements of the basic model and its extensions, along with aggregation, market interaction, uncertainty, and market imperfections are discussed. The most important methodological issues - the question of the recursive property of these models - is also discussed.