Crop yield forecasting refers to the prediction of crop yield or production prior to harvesting. Reliable, timely and accurate crop yield forecasts can provide crucial information for food security planning, particularly in the context of climate variability, change, and extremes. Crop yield forecasting uses meteorological data, cultivar specific genotype data, soil properties, and various management practice data to simulate plant-weather-soil interactions in quantitative terms and predict the crop yield over a given area, prior to the harvest. These models try to mimic fundamental mechanisms of plant growth and related processes in the soil-plant-atmospheric continuum to simulate specific outcomes. For any soil, cultivar and management conditions weather is a prime driver of inter-annual variations in the crop yield.
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Publisher:
GoN, WFP, CGIAR, CCAFS
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(2015
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Type / Script:
Bulletin or Poster
in English
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Keywords:
CLIMATE CHANGE, AGRICULTURE, FOOD SECURITY, WEATHER, CROP MANAGEMENT, WHEAT, IRRIGATION, AGRICULTURAL PRODUCTION, TECHNICAL ASSISTANCE, FOOD CROPS, FOOD, SOILS, MARKETING, FARMERS, POLICY MAKING, METEOROLOGY, HYDROLOGY, TEMPERATURE, ECOLOGY
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Thematic Group:
WFP
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Food and Emergency humanitarian logistict support
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Thesaurus:
04.02.01
- Crop Management
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Reference Link:
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