Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Observation phénologique× | Simulation de la croissance des cultures× | |
|---|---|---|
| Domaine | Agronomie | Agronomie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1974 | 2003 |
| Auteur d'origine≠ | Zadoks, Chang, Konzak (cereals); Fehr, Caviness (soybean) | John W. Jones, Gerrit Hoogenboom et al. |
| Type≠ | Observational and classification pipeline | Computational pipeline |
| Source fondatrice≠ | 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 ↗ | 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 ↗ |
| Alias≠ | Growth stage assessment, Phenological monitoring, Crop stage scale | Crop phenological model, Growth stage simulation |
| Apparentées | 5 | 5 |
| Résumé≠ | 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. | 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. |
| ScholarGateJeu de données ↗ |
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