方法对比
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| 播种日期优化× | 作物生长模拟× | |
|---|---|---|
| 领域 | 农学 | 农学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2006 | 2003 |
| 提出者≠ | P. K. Aggarwal, N. Kalra, IARI India | John W. Jones, Gerrit Hoogenboom et al. |
| 类型≠ | Decision support pipeline | Computational pipeline |
| 开创性文献≠ | 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 ↗ |
| 别名≠ | Planting date optimization, Sowing time selection, Phenological timing | Crop phenological model, Growth stage simulation |
| 相关 | 5 | 5 |
| 摘要≠ | 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. |
| ScholarGate数据集 ↗ |
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