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| Efektywność wykorzystania azotu× | Rolnictwo precyzyjne z wykorzystaniem NDVI× | |
|---|---|---|
| Dziedzina | Agronomia | Agronomia |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 2005 | 1973 |
| Twórca≠ | Adrian Dobermann, Kenneth G. Cassman | John W. Rouse, Richard H. Haas |
| Typ≠ | Analytical pipeline | Geospatial monitoring pipeline |
| Źródło pierwotne≠ | Dobermann, A., & Cassman, K. G. (2005). Nitrogen use efficiency in cereals: mechanisms and genetic improvements. In Managing soil quality and crop productivity in intensive agriculture (pp. 15-40). CRC Press. link ↗ | 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 | NUE analysis, Nitrogen recovery efficiency, N balance assessment | NDVI remote sensing, Vegetation index monitoring, Satellite crop monitoring |
| Pokrewne | 5 | 5 |
| Podsumowanie≠ | Nitrogen Use Efficiency (NUE) assessment and optimization is an analytical pipeline for evaluating how effectively crops convert applied nitrogen fertilizer into grain, biomass, or economic output. Developed by agronomic researchers (Dobermann, Raun) in the 2000s, this method quantifies nitrogen losses and identifies management practices to improve both crop productivity and environmental sustainability. | 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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