विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| फसल वृद्धि मॉडल (DSSAT/APSIM)× | कृषि-मौसम विज्ञानिक उपज मॉडल× | |
|---|---|---|
| क्षेत्र | सस्य विज्ञान | सस्य विज्ञान |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1993-2003 | 1960s–1980s (systematic development; FAO frameworks 1979) |
| प्रवर्तक≠ | James W. Jones, Gerbrand T. Hoogenboom (DSSAT); Brian A. Keating, Peter S. Carberry (APSIM) | Multiple contributors (FAO, USDA, Wageningen University researchers) |
| प्रकार≠ | Mechanistic crop simulation pipeline | Quantitative predictive modelling |
| मौलिक स्रोत≠ | Jones, J. W., Hoogenboom, G., Porter, C. H., et al. (2003). The DSSAT cropping system model. European Journal of Agronomy, 18(3-4), 235-265. DOI ↗ | Doorenbos, J., & Kassam, A. H. (1979). Yield Response to Water. FAO Irrigation and Drainage Paper No. 33. Food and Agriculture Organization of the United Nations, Rome. link ↗ |
| उपनाम≠ | DSSAT, APSIM, Crop Simulation Model | crop yield model, agroclimatic yield model, weather-based yield model, meteorological crop model |
| संबंधित≠ | 3 | 0 |
| सारांश≠ | Crop growth models are mechanistic simulation systems designed to predict crop development, biomass accumulation, and yield under varying environmental and management conditions. DSSAT (Decision Support System for Agrotechnology Transfer) and APSIM (Agricultural Production Systems Simulator) are the most widely used platforms, developed in the 1990s-2000s to support agronomic decision-making and climate adaptation research. | An agrometeorological yield model is a quantitative framework that relates observed or forecasted weather variables — temperature, precipitation, solar radiation, humidity — to the final grain or biomass yield of a crop. Grounded in plant physiology and agricultural climatology, the approach is used worldwide in food security monitoring, insurance underwriting, irrigation planning, and climate-change impact assessment. |
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