विधियों की तुलना करें

	फसल उपज अनुमान	फसल वृद्धि सिमुलेशन
क्षेत्र	सस्य विज्ञान	सस्य विज्ञान
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	2015	2003
प्रवर्तक	Agronomic research institutions (CIMMYT, ICRISAT, IRRI)	John W. Jones, Gerrit Hoogenboom et al.
प्रकार	Analytical and predictive pipeline	Computational pipeline
मौलिक स्रोत	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.
उपनाम	Yield forecasting, Harvest prediction, Yield monitoring	Crop phenological model, Growth stage simulation
संबंधित	5	5
सारांश	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.