Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Simulação de Crescimento de Culturas× | Observação Fenológica× | |
|---|---|---|
| Área | Agronomia | Agronomia |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 2003 | 1974 |
| Autor original≠ | John W. Jones, Gerrit Hoogenboom et al. | Zadoks, Chang, Konzak (cereals); Fehr, Caviness (soybean) |
| Tipo≠ | Computational pipeline | Observational and classification pipeline |
| Fonte seminal≠ | 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 ↗ | Zadoks, J. C., Chang, T. T., & Konzak, C. F. (1974). A decimal code for the growth stages of cereals. Weed research, 14(6), 415-421. DOI ↗ |
| Outros nomes≠ | Crop phenological model, Growth stage simulation | Growth stage assessment, Phenological monitoring, Crop stage scale |
| Relacionados | 5 | 5 |
| Resumo≠ | 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. | Phenological Observation is an observational and classification pipeline for systematically recording crop development stages from germination to maturity. Standardized through crop-specific scales (Zadoks for cereals, Fehr for soybean), this method enables precise communication of crop status, timing of management decisions (fungicide application, irrigation), and prediction of harvest readiness. |
| ScholarGateConjunto de dados ↗ |
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