Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Otimização da Data de Semeadura× | Simulação de Crescimento de Culturas× | |
|---|---|---|
| Área | Agronomia | Agronomia |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 2006 | 2003 |
| Autor original≠ | P. K. Aggarwal, N. Kalra, IARI India | John W. Jones, Gerrit Hoogenboom et al. |
| Tipo≠ | Decision support pipeline | Computational pipeline |
| Fonte seminal≠ | 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 ↗ |
| Outros nomes≠ | Planting date optimization, Sowing time selection, Phenological timing | Crop phenological model, Growth stage simulation |
| Relacionados | 5 | 5 |
| Resumo≠ | 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. |
| ScholarGateConjunto de dados ↗ |
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