A computer vision approach for weeds identification through Support Vector Machines

Applied Soft Computing Journal

Volumn 11, Issue 1, 2011, Pages 908-915

  Tellaeche, Alberto ^a   Pajares, Gonzalo ^a   Burgos Artizzu, Xavier P ^b   Ribeiro, Angela ^b  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

^b Consejo Superior de Investigaciones Científicas   (Spain)

Author keywords

Decision making; Image segmentation; Machine vision; Support Vector Machines; Weed identification

Indexed keywords

AREA-BASED; CEREAL CROP; COMPARATIVE ANALYSIS; COMPUTATION POWER; COMPUTER VISION SYSTEM; DECISION PROCESS; IMAGE PROCESSING TECHNIQUE; LOW LEVEL; MACHINE VISION; NEW STRATEGY; PRECISION AGRICULTURE; SPECTRAL SIGNATURE; SUPPORT VECTOR; WEED IDENTIFICATION; WEED SEED;

COMPUTER VISION; CROPS; DECISION MAKING; HERBICIDES; SUPPORT VECTOR MACHINES; VECTORS;

IMAGE SEGMENTATION;

EID: 77957894745     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.01.011     Document Type: Article

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