Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Управління родючістю ґрунту× | Симуляція росту культур× | |
|---|---|---|
| Галузь | Агрономія | Агрономія |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1990 | 2003 |
| Автор методу≠ | Soil fertility testing institutions (ICAR, CSREES, regional extension) | John W. Jones, Gerrit Hoogenboom et al. |
| Тип≠ | Diagnostic and prescriptive pipeline | Computational pipeline |
| Основоположне джерело≠ | 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 ↗ |
| Інші назви≠ | Soil nutrient management, Fertility program design, Soil test interpretation | Crop phenological model, Growth stage simulation |
| Пов'язані | 5 | 5 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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