Process / pipelineCrop science / agricultural meteorology
Agrometeorological Yield Model — Weather-Based Crop Yield Prediction
An agrometeorological yield model is a quantitative framework that relates observed or forecasted weather variables — temperature, precipitation, solar radiation, humidity — to the final grain or biomass yield of a crop. Grounded in plant physiology and agricultural climatology, the approach is used worldwide in food security monitoring, insurance underwriting, irrigation planning, and climate-change impact assessment.
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Sources
- Doorenbos, J., & Kassam, A. H. (1979). Yield Response to Water. FAO Irrigation and Drainage Paper No. 33. Food and Agriculture Organization of the United Nations, Rome. link ↗
- Lobell, D. B., & Burke, M. B. (2010). On the use of statistical models to predict crop yield responses to climate change. Agricultural and Forest Meteorology, 150(11), 1443-1452. DOI: 10.1016/j.agrformet.2010.07.008 ↗