The seventh Regional Steering Committee (RSC) meeting of the Global Strategy to Improve Agricultural and Rural Statistics and the Technical Working Group (TWG) meeting on the implementation of technical assistance activities were held on 15-17 November in Bangkok (Thailand).
Most of the farmers in Botswana benefit from government support through the provision of subsidised agricultural inputs.
In the context of the Global Strategy to improve Agricultural and Rural Statistics, remote sensing has been identified as a point of reference for Master Sampling Frames and methodological improvements in design and estimation terms, as a prime contributor to the localization and geocoding of the sampling units, as a way to achieve sustainability and as a core data provider for indicators linked to land uses and covers.
This month, the Global Office has released some training material aimed at building and improving data producers’ knowledge and skills in agricultural statistics.
On 13-14 September 2017, the Global Office conducted an expert meeting on Agri-environmental indicators.
As part of its technical assistance activities for 2017, the Global Strategy (GS) teams from Rome and Asia-Pacific, with the support of the Food Balance Sheets team of the FAO Statistics Division, organized a one-week training workshop in Colombo, Sri Lanka, on the newly developed GS guidelines and tools for compiling food balance sheets.
Agri-environmental statistics are still at an early stage of advancement in most countries, particularly in developing ones. read more
Livestock statistics appear as an area where many countries lack appropriate data collection methods, estimation strategies and effective methods for the compilation of indicators. read more
In the framework of a Memorandum of Understanding signed between AFRISTAT and FAO (Global Strategy) in November 2016, a joint mission of 3 people visited Praia (Cape Verde) on 5-11 June 2017. read more
The Global Office of the Global Strategy to Improve Agricultural and Rural Statistics (GSARS) has been developing a number of research topics on new, cost-effective and sound methods to enhance the quality and reliability of agricultural statistics in developing countries.