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.
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On 11-12 May 2017, the Global Office conducted an expert meeting on Master Sampling Frames for Fisheries and Aquaculture.
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In order to meet the lack of appropriate knowledge and skills in food security, the Food and Agriculture Organization (FAO), supported by the Global Strategy (GS), has developed an improved methodology for estimating supply and utilization accounts and food balance sheets through the GS research program.
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The Government of Seychelles had expressed its need for technical assistance to collect and compile data on Agricultural Cost of Production (AgCoP).
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On 15-19 May 2017, a workshop on Survey Solutions Computer Assisted Personal Interview (CAPI) was carried-out at the East African Statistical Training Centre (EASTC) in Dar es Salaam, Tanzania.
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On April 3-5, 2017, the Food and Agriculture Organization of the United Nations (FAO UN), in collaboration with the Global Strategy to Improve Agricultural and Rural Statistics (GSARS), successfully organized an expert meeting on SDG Indicator 2.4.1, which is the percentage of agricultural area under productive and sustainable agriculture.
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Farm typology is a concept used to classify agricultural holdings by multiple dimensions. It covers all farms, including the small units that produce mainly for own-consumption and regardless of the legal status of the holder.
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With an overarching aim of strengthening the quantity and quality of professionals and experts in agricultural statistics in Africa, the training component of the Global Strategy to improve Agricultural and Rural Statistics strives to guarantee the availability of demand based and focused training options across the continent.
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The Central Statistical Agency (CSA) of Ethiopia has been testing the applicability and adoptability of the Area Frame (AF) to improve agricultural statistics in the country.
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Post-harvest losses and food losses in general are one of the priority topics of the international agenda, as illustrated by the Sustainable Development Goals framework and several regional initiatives.
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Improving statistics on agricultural cost of production is one of the priorities of African countries, which requested assistance on this topic in several regional and international meetings.
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The Bangladesh Bureau of Statistics (BBS), conducted a nationally representative private grain stocks survey, financially and technically supported by the Agricultural Market Information System (AMIS) project.
