Σύγκριση μεθόδων

	Προσομοίωση Ανάπτυξης Καλλιεργειών	Εκτίμηση Απόδοσης Καλλιεργειών
Πεδίο	Αγρονομία	Αγρονομία
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	2003	2015
Δημιουργός	John W. Jones, Gerrit Hoogenboom et al.	Agronomic research institutions (CIMMYT, ICRISAT, IRRI)
Τύπος	Computational pipeline	Analytical and predictive pipeline
Θεμελιώδης πηγή	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.
Εναλλακτικές ονομασίες	Crop phenological model, Growth stage simulation	Yield forecasting, Harvest prediction, Yield monitoring
Συναφείς	5	5
Σύνοψη	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.