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Data sent subsidizes the creation of a database to support the development of an Harvest Collapse Risk Prediction System in Semi-Arid Agriculture. Such data are essential for the creation, calibration and validation of agro-meteorological models. From the database created, spatial distribution of different types of food crops can be updates. The information is also used for the validation of maps of crops and land uses.अनुवाद लोड हो रहा है...
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Apr 5, 2018