By Roberto Benedetti, Federica Piersimoni, Marco Bee, Giuseppe Espa
As a result of common use of surveys in agricultural assets estimation there's a wide and recognizable curiosity in tools and methods to assemble and technique agricultural information. This e-book brings jointly the data of teachers and specialists to extend the dissemination of the newest advancements in agricultural facts. carrying out a census, constructing frames and registers and utilizing administrative facts for statistical reasons are coated and matters coming up from pattern layout and estimation, use of distant sensing, administration of information caliber and dissemination and research of survey information are explored.Key features:Brings jointly top of the range study on agricultural statistics from specialists during this field.Provides a radical and masses wanted review of advancements inside of agricultural statistics.Contains summaries for every bankruptcy, delivering a useful reference framework for these new to the field.Based upon a variety of key methodological papers awarded on the ICAS convention sequence, up to date and elevated to handle present issues.Covers conventional statistical methodologies together with sampling and weighting.This booklet presents a miles wanted advisor to accomplishing surveys of land use and to the newest advancements in agricultural data. Statisticians attracted to agricultural information, agricultural statisticians in nationwide information places of work and statisticians and researchers utilizing survey technique will reap the benefits of this booklet.
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Additional resources for Agricultural Survey Methods
There is an increasing demand for indicators for these types of areas. The need for spatial information combined with socio-economic information and environmental data AGRICULTURAL STATISTICS IN DEVELOPED COUNTRIES 21 is, for example, expressed in several communications from the European Commission. Agricultural statistics will be pushed to deliver small-area information. Surveys based on samples are an important instrument (with a sufﬁcient coverage, of course). Multi-purpose surveys with a georeference are seen as important sources for data to be complemented with spatial agricultural information.
As a result, data quality has improved in parallel with the simpliﬁcation of data treatment operations. Milk statistics Milk statistics relate to milk produced by cows, ewes, goats and buffaloes. For the EU they are concerned with milk collected by dairies (monthly and annually) at national and regional level, milk produced in agricultural holdings (farms), the protein content and the supply balance sheets. Triennial statistics provide information on the structure of the dairies. Data collection and pre-validation are carried out through, for example, the use of the Web Forms system which ensures the management of deadlines and monitors the data trafﬁc.
Multi-purpose surveys with a georeference are seen as important sources for data to be complemented with spatial agricultural information. Next to this approach, aggregated municipal or regional information is also considered important information on this level. Integrated economic and environmental accounting At the aggregated level, sound indicators that give a good insight into the mechanism of agricultural society in relation to the economy and environment are needed. The integration of agricultural statistics with other statistics is a process that is tackled especially from the viewpoint of integrated economic and environmental accounting.