Σύγκριση μεθόδων

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