Vision-based pest detection based on SVM classification method

Computers and Electronics in Agriculture

Volumn 137, Issue , 2017, Pages 52-58

  Ebrahimi, M A ^a   Khoshtaghaza, M H ^a   Minaei, S ^a   Jamshidi, B ^b  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b AGRICULTURAL ENGINEERING RESEARCH INSTITUTE   (Iran)

Author keywords

Image processing; Mean percent error; SVM classification; Thrips

Indexed keywords

ERRORS; FRUITS; GREENHOUSES; MEAN SQUARE ERROR;

DIFFERENCE KERNEL; GREENHOUSE MONITORING; IMAGE PROCESSING TECHNIQUE; MEAN ABSOLUTE ERROR; MEAN PERCENT ERROR; ROOT OF MEAN SQUARES; SVM CLASSIFICATION; THRIPS;

IMAGE PROCESSING;

CANOPY; CLASSIFICATION; COLOR; DETECTION METHOD; IMAGE PROCESSING; PEST DAMAGE; SATURATION; THRIPS; VISION;

FRAGARIA X ANANASSA; THYSANOPTERA;

EID: 85016481058     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2017.03.016     Document Type: Article

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