A deep learning application to map weed spatial extent from unmanned aerial vehicles imagery

HIGHLIGHTS

• who: Paolo Fraccaro and colleagues from the IBM Research Europe, Daresbury , AD, UK Department of Animal and Plant Sciences, University of Sheffield, Sheffield , TN, UK have published the research work: A Deep Learning Application to Map Weed Spatial Extent from Unmanned Aerial Vehicles Imagery, in the Journal: (JOURNAL)
• what: The authors demonstrate the feasibility of automatically detecting weeds in winter wheat fields based on learning methods applied to UAV data at scale. Focusing on black-grass (the most pernicious weed across northwest Europe) the authors show high performance (i.e. accuracy imagery-derived local and . . .
  

   

  

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