Comparer des méthodes

	Agriculture de précision avec NDVI	Estimation du rendement des cultures
Domaine	Agronomie	Agronomie
Famille	Process / pipeline	Process / pipeline
Année d'origine	1973	2015
Auteur d'origine	John W. Rouse, Richard H. Haas	Agronomic research institutions (CIMMYT, ICRISAT, IRRI)
Type	Geospatial monitoring pipeline	Analytical and predictive 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.	Lobell, D. B., Thau, D., Seifert, C., Engle, E., & Shadow, B. (2015). A regional crop yield forecasting system for Sub-Saharan Africa. Global Food Security, 5, 6-15.
Alias	NDVI remote sensing, Vegetation index monitoring, Satellite crop monitoring	Yield forecasting, Harvest prediction, Yield monitoring
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 Yield Estimation is an analytical and predictive pipeline for forecasting final crop yield before harvest or monitoring yield accumulation during the growing season. Developed by agronomic research centers (CIMMYT, ICRISAT, IRRI), this method combines field observations, environmental data, and statistical models to predict grain or biomass output, informing harvest planning, market decisions, and performance evaluation.