قارن الطرق

	الزراعة الدقيقة باستخدام مؤشر الاختلاف المعياري للنبات (NDVI)	تقدير محصول المحاصيل
المجال	علم المحاصيل	علم المحاصيل
العائلة	Process / pipeline	Process / pipeline
سنة النشأة	1973	2015
صاحب الطريقة	John W. Rouse, Richard H. Haas	Agronomic research institutions (CIMMYT, ICRISAT, IRRI)
النوع	Geospatial monitoring pipeline	Analytical and predictive pipeline
المصدر التأسيسي	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.
الأسماء البديلة	NDVI remote sensing, Vegetation index monitoring, Satellite crop monitoring	Yield forecasting, Harvest prediction, Yield monitoring
ذات صلة	5	5
الملخص	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.