Comparer des méthodes

	Modèles de croissance des cultures (DSSAT/APSIM)	Modèle de rendement agrométéorologique
Domaine	Agronomie	Agronomie
Famille	Process / pipeline	Process / pipeline
Année d'origine	1993-2003	1960s–1980s (systematic development; FAO frameworks 1979)
Auteur d'origine	James W. Jones, Gerbrand T. Hoogenboom (DSSAT); Brian A. Keating, Peter S. Carberry (APSIM)	Multiple contributors (FAO, USDA, Wageningen University researchers)
Type	Mechanistic crop simulation pipeline	Quantitative predictive modelling
Source fondatrice	Jones, J. W., Hoogenboom, G., Porter, C. H., et al. (2003). The DSSAT cropping system model. European Journal of Agronomy, 18(3-4), 235-265.	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.
Alias	DSSAT, APSIM, Crop Simulation Model	crop yield model, agroclimatic yield model, weather-based yield model, meteorological crop model
Apparentées	3	0
Résumé	Crop growth models are mechanistic simulation systems designed to predict crop development, biomass accumulation, and yield under varying environmental and management conditions. DSSAT (Decision Support System for Agrotechnology Transfer) and APSIM (Agricultural Production Systems Simulator) are the most widely used platforms, developed in the 1990s-2000s to support agronomic decision-making and climate adaptation research.	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.