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.
In line with the current policy debate on agriculture and rural development, the improvement of methods for estimating post-harvest losses was identified by FAO member countries as a priority research topic to be included in the research programme of the Global Strategy.
This Literature Review shows that agricultural sustainability has been understood largely in its environmental dimensions, that it is affected by socio-economic and biophysical conditions, and that obstacles to sustainable agriculture are different in different countries.
On the basis of a gaps analysis, a methodology has been developed to estimate crop area and crop yield in mixed and continuous cropping scenarios.