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الزراعة الدقيقة باستخدام مؤشر الاختلاف المعياري للنبات (NDVI)×رسم خرائط كثافة الأعشاب الضارة×
المجالعلم المحاصيلعلم المحاصيل
العائلةProcess / pipelineProcess / pipeline
سنة النشأة19732003
صاحب الطريقةJohn W. Rouse, Richard H. HaasRoland Gerhards, Søren Christensen
النوعGeospatial monitoring pipelineSpatial survey pipeline
المصدر التأسيسيRouse, 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 ↗Gerhards, R., & Christensen, S. (2003). Real-time weed detection, decision making and patch spraying in maize, sugarbeet, winter wheat and winter barley. Weed Research, 43(6), 385-392. DOI ↗
الأسماء البديلةNDVI remote sensing, Vegetation index monitoring, Satellite crop monitoringWeed mapping, Spatial weed survey, Weed sampling
ذات صلة55
الملخصPrecision 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.Weed Density Mapping is a spatial survey pipeline for measuring and mapping weed distributions across fields to support targeted herbicide application and management decisions. Developed by Gerhards, Christensen, and others in precision agriculture (2000s), this method combines field sampling or remote sensing with geostatistics to create weed pressure maps, enabling variable-rate control strategies.
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ScholarGateقارن الطرق: Precision Agriculture with NDVI · Weed Density Mapping. استُرجع بتاريخ 2026-06-19 من https://scholargate.app/ar/compare