Comparer des méthodes

	Estimation du rendement des cultures	Simulation de la croissance des cultures
Domaine	Agronomie	Agronomie
Famille	Process / pipeline	Process / pipeline
Année d'origine	2015	2003
Auteur d'origine	Agronomic research institutions (CIMMYT, ICRISAT, IRRI)	John W. Jones, Gerrit Hoogenboom et al.
Type	Analytical and predictive pipeline	Computational pipeline
Source fondatrice	Lobell, D. B., Thau, D., Seifert, C., Engle, E., & Shadow, B. (2015). A regional crop yield forecasting system for Sub-Saharan Africa. Global Food Security, 5, 6-15.	Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Basso, B., Hunt, L. A., ... & Winter, S. R. (2003). The DSSAT cropping system model. European journal of agronomy, 18(3-4), 235-265.
Alias	Yield forecasting, Harvest prediction, Yield monitoring	Crop phenological model, Growth stage simulation
Apparentées	5	5
Résumé	Crop Yield Estimation is an analytical and predictive pipeline for forecasting final crop yield before harvest or monitoring yield accumulation during the growing season. Developed by agronomic research centers (CIMMYT, ICRISAT, IRRI), this method combines field observations, environmental data, and statistical models to predict grain or biomass output, informing harvest planning, market decisions, and performance evaluation.	Crop Growth Simulation is a computational pipeline for predicting daily or seasonal crop development, biomass accumulation, and yield under varying environmental conditions. Developed by Jones and colleagues in the DSSAT framework, this method integrates agronomic knowledge with process-based modeling to enable decision support in field management.