Comparer des méthodes

	Simulation de la croissance des cultures	Estimation du rendement des cultures
Domaine	Agronomie	Agronomie
Famille	Process / pipeline	Process / pipeline
Année d'origine	2003	2015
Auteur d'origine	John W. Jones, Gerrit Hoogenboom et al.	Agronomic research institutions (CIMMYT, ICRISAT, IRRI)
Type	Computational pipeline	Analytical and predictive pipeline
Source fondatrice	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.	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.
Alias	Crop phenological model, Growth stage simulation	Yield forecasting, Harvest prediction, Yield monitoring
Apparentées	5	5
Résumé	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.	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.