Comparer des méthodes

	Cartographie de la densité des mauvaises herbes	Estimation du rendement des cultures
Domaine	Agronomie	Agronomie
Famille	Process / pipeline	Process / pipeline
Année d'origine	2003	2015
Auteur d'origine	Roland Gerhards, Søren Christensen	Agronomic research institutions (CIMMYT, ICRISAT, IRRI)
Type	Spatial survey pipeline	Analytical and predictive pipeline
Source fondatrice	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.	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	Weed mapping, Spatial weed survey, Weed sampling	Yield forecasting, Harvest prediction, Yield monitoring
Apparentées	5	5
Résumé	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.	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.