Agricultural Survey Methods by Roberto Benedetti, Federica Piersimoni, Marco Bee, Giuseppe

By Roberto Benedetti, Federica Piersimoni, Marco Bee, Giuseppe Espa

End result of the common use of surveys in agricultural assets estimation there's a large and recognizable curiosity in equipment and strategies to assemble and method agricultural facts. This booklet brings jointly the information of lecturers and specialists to extend the dissemination of the most recent advancements in agricultural records. engaging in a census, establishing frames and registers and utilizing administrative facts for statistical reasons are coated and matters bobbing up from pattern layout and estimation, use of distant sensing, administration of information caliber and dissemination and research of survey facts are explored.Key features:Brings jointly prime quality study on agricultural data from specialists during this field.Provides an intensive and masses wanted assessment of advancements inside of agricultural statistics.Contains summaries for every bankruptcy, offering a beneficial reference framework for these new to the field.Based upon a variety of key methodological papers offered on the ICAS convention sequence, up to date and extended to deal with present issues.Covers conventional statistical methodologies together with sampling and weighting.This publication presents a far wanted consultant to accomplishing surveys of land use and to the most recent advancements in agricultural statistics. Statisticians drawn to agricultural data, agricultural statisticians in nationwide records workplaces and statisticians and researchers utilizing survey technique will make the most of this publication.

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The new design moves away from a global system of management of fisheries statistics to a system which is more focused on the needs expressed by users and of higher quality. With revised needs and uses for fisheries statistics and fewer resources available, there is a need for a more efficient and higher-quality data environment and a decrease in the workload for data providers. An important consideration for this redesign is a decrease in the overlap of data systems with those of other international organizations, such as the FAO.

However, the regions in Europe outside the EU and the (pre-)acceding countries are still characterized by different degrees of a more traditional set of agricultural statistics. The main differences and changes that can be observed between the different systems relate to the main lines of resolution – geographical, temporal and subject-oriented resolution for agricultural statistics. For the CIS countries there is clearly a general understanding of the need for further improvement of agricultural statistics on the basis of the international standards.

This procedure allows estimates that can have a proven measure of error. Uses of data for unintended purposes For many years, the NASS has estimated crop and livestock production at the federal, state, and in some instances county level. NASS stakeholders have utilized published AGRICULTURAL STATISTICS IN DEVELOPED COUNTRIES 19 estimates for marketing and production decisions, agricultural research, legislative and policy decisions, and implementation of farm programmes. Data needs have evolved over the past several years, resulting in uses of NASS information to establish USDA farm programme payment levels and calculate the USDA Risk Management Agency (RMA) insurance indemnity payments to farmers.

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