Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Managementul Fertilității Solului× | Simularea Creșterii Culturilor× | |
|---|---|---|
| Domeniu | Agronomie | Agronomie |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 1990 | 2003 |
| Autorul original≠ | Soil fertility testing institutions (ICAR, CSREES, regional extension) | John W. Jones, Gerrit Hoogenboom et al. |
| Tip≠ | Diagnostic and prescriptive pipeline | Computational pipeline |
| Sursa seminală≠ | 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 ↗ |
| Denumiri alternative≠ | Soil nutrient management, Fertility program design, Soil test interpretation | Crop phenological model, Growth stage simulation |
| Înrudite | 5 | 5 |
| Rezumat≠ | 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. |
| ScholarGateSet de date ↗ |
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