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The National Agricultural Statistics Service (NASS) is the primary statistical data collection agency within the U.S. Department of Agriculture (USDA). NASS conducts hundreds of surveys each year and prepares reports covering virtually every aspect of U.S. agriculture. Among the small-area estimates produced by NASS are county-level estimates for crops (planted acres, harvested acres, production, and yield by commodity) and for cash rental rates for irrigated cropland, nonirrigated cropland, and permanent pastureland. Key users of these county-level estimates include USDA's Farm Services Agency (FSA) and Risk Management Agency (RMA), which use the estimates as part of their processes for distributing farm subsidies and providing farm insurance, respectively. Improving Crop Estimates by Integrating Multiple Data Sources assesses county-level crop and cash rents estimates, and offers recommendations on methods for integrating data sources to provide more precise county-level estimates of acreage and yield for major crops and of cash rents by land use. This report considers technical issues involved in using the available data sources, such as methods for integrating the data, the assumptions underpinning the use of each source, the robustness of the resulting estimates, and the properties of desirable estimates of uncertainty.
​​This book provides standards and guidelines for quantifying greenhouse gas emissions and removals in smallholder agricultural systems and comparing options for climate change mitigation based on emission reductions and livelihood trade-offs. Globally, agriculture is directly responsible for about 11% of annual greenhouse gas (GHG) emissions and induces an additional 17% through land use change, mostly in developing countries. Farms in the developing countries of sub-Saharan Africa and Asia are predominately managed by smallholders, with 80% of land holdings smaller than ten hectares. However, little to no information exists on greenhouse gas emissions and mitigation potentials in smallholder agriculture. Greenhouse gas measurements in agriculture are expensive, time consuming, and error prone, challenges only exacerbated by the heterogeneity of smallholder systems and landscapes. Concerns over methodological rigor, measurement costs, and the diversity of approaches, coupled with the demand for robust information suggest it is germane for the scientific community to establish standards of measurements for quantifying GHG emissions from smallholder agriculture. Standard guidelines for use by scientists, development organizations will help generate reliable data on emissions baselines and allow rigorous comparisons of mitigation options. The guidelines described in this book, developed by the CGIAR Research Program on Climate Change, Agriculture, and Food Security (CCAFS) and partners, are intended to inform anyone conducting field measurements of agricultural greenhouse gas sources and sinks, especially to develop IPCC Tier 2 emission factors or to compare mitigation options in smallholder systems.
This booklet examines the relative merits and limitations of various methods for measuring crop production on smallholder farms in agriculture and rural development projects. It focuses in particular on measurement techniques used in estimating annual crop yields. In their detailed analysis of one of the most popular techniques, crop cutting, the authors draw on heretofore unpublished studies from northern Nigeria. The authors stress that the choice of measurement technique depends on the type of survey to be undertaken, and they offer specific, practical recommendations that are designed to help monitoring and evaluation staff make the appropriate selections.
Agricultural Statistics: A Handbook for Developing Countries presents the development of agricultural statistics in various countries of Africa and Asia. This book provides a guideline to those in charge of agricultural statistics in developing countries to know their priorities and to have clear objectives. Organized into 14 chapters, this book begins with an overview of the importance of regular collection of agricultural statistics to the functioning of the community as well as for its agriculture and agricultural development. This text then examines the improvement of methods of collection of existing statistics for greater dependability. Other chapters consider the yield rates and areas of crop production. This book discusses as well the direct estimation of production, which consists of large estates with their processing plants meant for processing their products only. The final chapter deals with the various organizational set-ups for the compilation of agricultural statistics. This book is a valuable resource for agriculturists and statisticians.
1967 issue is a historical summary of field crop data, 1919/1967.