ScholarGate
Asistent

Usporedite metode

Pregledajte odabrane metode jednu uz drugu; retci koji se razlikuju su istaknuti.

Kartiranje gustoće korova×Učinkovitost iskorištavanja dušika×
PodručjeAgronomijaAgronomija
ObiteljProcess / pipelineProcess / pipeline
Godina nastanka20032005
TvoracRoland Gerhards, Søren ChristensenAdrian Dobermann, Kenneth G. Cassman
VrstaSpatial survey pipelineAnalytical pipeline
Temeljni izvorGerhards, 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 ↗Dobermann, A., & Cassman, K. G. (2005). Nitrogen use efficiency in cereals: mechanisms and genetic improvements. In Managing soil quality and crop productivity in intensive agriculture (pp. 15-40). CRC Press. link ↗
Drugi naziviWeed mapping, Spatial weed survey, Weed samplingNUE analysis, Nitrogen recovery efficiency, N balance assessment
Srodne55
SažetakWeed 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.Nitrogen Use Efficiency (NUE) assessment and optimization is an analytical pipeline for evaluating how effectively crops convert applied nitrogen fertilizer into grain, biomass, or economic output. Developed by agronomic researchers (Dobermann, Raun) in the 2000s, this method quantifies nitrogen losses and identifies management practices to improve both crop productivity and environmental sustainability.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretraživanje Preuzmi prezentaciju

ScholarGateUsporedite metode: Weed Density Mapping · Nitrogen Use Efficiency. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare