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Training Course: Producing Food Security Information Products that Result in Action

EC/FAO Food Security “Information for Action” Programme.UNIT 7 – Reporting Agrometeorological bulletins - Draft prepared by SDRN/FAO









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    FAO Crop Yield Forecasting Philosophy in National Food Early Warning Systems 1998
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    The paper describes the crop forecasting philosophy adopted by FAO in the ambit of national and regional food security projects in developing countries.
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    Document
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    CM Box: Turn-Key Crop Monitoring and Forecasting Tool to Support National Food Security Analyses 2007
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    Crop condition monitoring and forecasting techniques have made enormous progress from the days of empirical statistical methods using weather variables that were very popular in the fifties and sixties. Using modern tools of agrometeorology and remote sensing it is now possible to issue a forecast of the likely outcome of the cropping season starting at the time of planting.
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    Brochure, flyer, fact-sheet
    Brochure
    Strengthening agro-climatic monitoring, analysis, communication and use of data and information for decision-making and food security in the agricultural sector in the Lao People’s Democratic Republic
    SAMIS PROJECT / Component 1
    2019
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    The leaflet present the activities of the first component of the project “Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptation to climate change and food security in Lao PDR”. The component, implemented in strict collaboration with the Department of Meteorology and Hydrology (DMH), Ministry of Natural Resources and Environment, is titled “Strengthening agro-climatic monitoring, analysis, communication and use of data and information for decision making in agriculture and food security”. The activities includes the installment of agro-meteorological stations, the setup of a Laboratory for agro-meteorological analysis and instrument calibration, the implementation of the Laos Climate Services in Agriculture (LaCSA) system for modelling and distribution of climate services to farmers, and the facilitation of a process to ensure national Standard Operation Procedure are followed.

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    LADA - Land Degradation Assessment in Drylands
    2011
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    The WOCAT-LADA-DESIRE mapping tool is based on the original WOCAT mapping questionnaire (WOCAT, 2007). It has been expanded to pay more attention to issues such as biological and water degradation, it also places more emphasis on direct and socio-economic causes of these phenomena, including their impacts on ecosystem services. It evaluates what type of land degradation is actually happening where and why and what is being done about it in terms of sustainable land management (SLM) in the form o f a questionnaire. Linking the information obtained through the questionnaire to a geographical information system (GIS) allows the production of maps as well as area calculations on various aspects of land degradation and conservation. The map database and mapped outputs provide a powerful tool to obtain an overview of land degradation and conservation in a district, province, country, region, or world-wide.
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    Book (stand-alone)
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    FAO publications catalogue 2020
    October edition
    2020
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    This catalogue aims to improve the dissemination and outreach of FAO’s knowledge products and overall publishing programme. By providing information on its key publications in every area of FAO’s work, and catering to a range of audiences, it thereby contributes to all organizational outcomes. From statistical analysis to specialized manuals to children’s books, FAO publications cater to a diverse range of audiences. This catalogue presents a selection of FAO’s main publications, produced in 2020 or earlier, ranging from its global reports and general interest publications to numerous specialized titles. In addition to the major themes of agriculture, forestry and fisheries, it also includes thematic sections on climate change, economic and social development, and food safety and nutrition.
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    FAO Specifications and Evaluations for Agricultural Pesticides - PROPICONAZOLE - (2RS,4RS;2RS,4SR)-1-[2-(2,4-dichlorophenyl)-4-propyl-1,3-dioxolan-2-ylmethyl]-1H-1,2,4-triazole
    PROPICONAZOLE - (2RS,4RS;2RS,4SR)-1-[2-(2,4-dichlorophenyl)-4-propyl-1,3-dioxolan-2-ylmethyl]-1H-1,2,4-triazole
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