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Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Agriculture de précision avec NDVI× | Simulation de la croissance des cultures× | |
|---|---|---|
| Domaine | Agronomie | Agronomie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1973 | 2003 |
| Auteur d'origine≠ | John W. Rouse, Richard H. Haas | John W. Jones, Gerrit Hoogenboom et al. |
| Type≠ | Geospatial monitoring pipeline | Computational pipeline |
| Source fondatrice≠ | 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 ↗ | 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≠ | NDVI remote sensing, Vegetation index monitoring, Satellite crop monitoring | Crop phenological model, Growth stage simulation |
| Apparentées | 5 | 5 |
| Résumé≠ | 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. | 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. |
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