The purpose of this handbook is to provide guidelines on the use of remote sensing in the context of agricultural statistics.
In most countries, although the proportion of national GDP constituted by the agricultural sector has been declining for decades, the forecasting of food production remains a major challenge for all the economic actors of modern societies.
This article investigates the possibility of structuring data from different websites through web scraping techniques.
This pilot test protocol is a synthesis of initial “brainstorming” of desktop analysis options, discussions with FAO, and revisions to preliminary ideas based on recommendations received at the Expert Meeting in Rome (May, 2017).
This review examines the current status of the remote sensing (RS) tools, products, methodologies and data that can help to improve agricultural crop production forecasting systems.
The goals of this Technical Report are to introduce a revised version of the short form and the long form of the WSM; to describe the proposed methodology to incorporate the WSM into existing surveys; and to describe the indicators of consumption and production of woodfuel that can be derived from the data collected.
This report introduces the problem of reconciling agricultural census and survey data by exploring methods to recalculate the survey weights, focusing on how to combine information from agricultural censuses.
The aim of this research topic is to find methods to improve the collection, management and use of administrative data for the production of agricultural statistics in developing countries. This technical report includes a country-tested methodology.
These Guidelines have been prepared on the basis of assessments of the methods currently used by countries to produce data on stocks, and seek to help countries design and implement both on-farm and off-farm stocks.
This Technical Report proposes methods for the collection of data to compile improved measures of selected indicators, based on analyses of existing methods and field-testing of alternatives.
The goal of the research line, “Mainstreaming sex-disaggregated data and gender indicators in agricultural statistics” is to improve the availability of comparable sex-disaggregated data and gender-relevant indicators within large-scale agricultural surveys.