قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| محاكاة نمو المحاصيل× | ملاحظة الظواهر الفينولوجية× | |
|---|---|---|
| المجال | علم المحاصيل | علم المحاصيل |
| العائلة | Process / pipeline | Process / pipeline |
| سنة النشأة≠ | 2003 | 1974 |
| صاحب الطريقة≠ | John W. Jones, Gerrit Hoogenboom et al. | Zadoks, Chang, Konzak (cereals); Fehr, Caviness (soybean) |
| النوع≠ | Computational pipeline | Observational and classification pipeline |
| المصدر التأسيسي≠ | 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 ↗ |
| الأسماء البديلة≠ | Crop phenological model, Growth stage simulation | Growth stage assessment, Phenological monitoring, Crop stage scale |
| ذات صلة | 5 | 5 |
| الملخص≠ | 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. |
| ScholarGateمجموعة البيانات ↗ |
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