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| Symulacja wzrostu roślin× | Rolnictwo precyzyjne z wykorzystaniem NDVI× | |
|---|---|---|
| Dziedzina | Agronomia | Agronomia |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 2003 | 1973 |
| Twórca≠ | John W. Jones, Gerrit Hoogenboom et al. | John W. Rouse, Richard H. Haas |
| Typ≠ | Computational pipeline | Geospatial monitoring pipeline |
| Źródło pierwotne≠ | 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 ↗ | Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. (1973). Monitoring vegetation systems in the Great Plains with ERTS. In Third Earth Resources Technology Satellite symposium, Washington, DC. link ↗ |
| Inne nazwy≠ | Crop phenological model, Growth stage simulation | NDVI remote sensing, Vegetation index monitoring, Satellite crop monitoring |
| Pokrewne | 5 | 5 |
| Podsumowanie≠ | 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. | Precision Agriculture with NDVI is a geospatial monitoring pipeline for assessing crop vigor, health, and productivity using the Normalized Difference Vegetation Index (NDVI) derived from satellite or drone imagery. Developed by Rouse and colleagues (1973), this method enables rapid, non-destructive assessment of spatial variation in crop performance and informs variable-rate management decisions. |
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