قارن الطرق

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