A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method

Applied Soft Computing Journal

Volumn 37, Issue , 2015, Pages 533-544

  Perez Ortiz M ^a,c   Pena J M ^a   Gutierrez P A ^b   Torres Sanchez J ^a   Hervas Martinez C ^b   Lopez Granados F ^a  

^a INSTITUTO DE AGRICULTURA SOSTENIBLE   (Spain)

^b UNIVERSITY OF CÓRDOBA   (Spain)

^c UNIVERSIDAD LOYOLA ANDALUCÍA   (Spain)

Author keywords

Hough transform; Machine learning; Remote sensing; Support vector machine; Unmanned aerial vehicles (UAV); Weed detection

Indexed keywords

AGRICULTURE; AIRCRAFT CONTROL; AMPHIBIOUS VEHICLES; ARTIFICIAL INTELLIGENCE; CROPS; HOUGH TRANSFORMS; LEARNING SYSTEMS; MAPPING; PHOTOMAPPING; REMOTE SENSING; SUPPORT VECTOR MACHINES; UNMANNED AERIAL VEHICLES (UAV); VEHICLES;

CLASSIFICATION TECHNIQUE; CONTROL STRATEGIES; CONTROL TREATMENTS; PRECISION AGRICULTURE; SOURCES OF INFORMATIONS; SPATIAL AND TEMPORAL RESOLUTIONS; SPECTRAL INFORMATION; WEED DETECTION;

WEED CONTROL;

EID: 84941766152     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2015.08.027     Document Type: Article

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