Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Оптимізація термінів сівби× | Симуляція росту культур× | |
|---|---|---|
| Галузь | Агрономія | Агрономія |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 2006 | 2003 |
| Автор методу≠ | P. K. Aggarwal, N. Kalra, IARI India | John W. Jones, Gerrit Hoogenboom et al. |
| Тип≠ | Decision support pipeline | Computational pipeline |
| Основоположне джерело≠ | Aggarwal, P. K., Kalra, N., Chander, S., & Pathak, H. (2006). InfoCrop: A decision support system for crop planning and resource management at farm level. Agricultural Systems, 88(1), 56-77. link ↗ | 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. DOI ↗ |
| Інші назви≠ | Planting date optimization, Sowing time selection, Phenological timing | Crop phenological model, Growth stage simulation |
| Пов'язані | 5 | 5 |
| Підсумок≠ | Sowing Date Optimization is a decision support pipeline for determining optimal crop planting dates that align phenological development with favorable environmental windows, maximizing yield and reducing climate risk. Developed by crop modelers (Aggarwal, Semenov) in the 2000s, this method combines crop simulation, climate data, and risk analysis to identify safe, profitable sowing windows. | 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. |
| ScholarGateНабір даних ↗ |
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