Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Gestion de la fertilité des sols× | Simulation de la croissance des cultures× | |
|---|---|---|
| Domaine | Agronomie | Agronomie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1990 | 2003 |
| Auteur d'origine≠ | Soil fertility testing institutions (ICAR, CSREES, regional extension) | John W. Jones, Gerrit Hoogenboom et al. |
| Type≠ | Diagnostic and prescriptive pipeline | Computational pipeline |
| Source fondatrice≠ | Tandon, H. L. (1997). Phosphorus research and agricultural production in India. ICAR, New Delhi. 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 ↗ |
| Alias≠ | Soil nutrient management, Fertility program design, Soil test interpretation | Crop phenological model, Growth stage simulation |
| Apparentées | 5 | 5 |
| Résumé≠ | Soil Fertility Management is a diagnostic and prescriptive pipeline for assessing soil nutrient status via laboratory testing, interpreting results against crop-specific nutrient requirements, and recommending fertilizer or amendment rates. Formalized by soil testing institutions (ICAR, USDA-CSREES) and widely adopted globally, this method supports efficient nutrient application and cost-effective crop production. | 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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