Recognition of pest damage for cotton leaf based on RBF-SVM algorithm

Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery

Volumn 42, Issue 8, 2011, Pages 178-183

  Zhang, Jianhua ^a   Ji, Ronghua ^a   Yuan, Xue ^a   Li, Hui ^a   Qi, Lijun ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

Computer vision; Cotton; Pest; SVM

Indexed keywords

CLASSIFICATION ACCURACY; COLOR FEATURES; COLOR SPACE; COTTON APHID; COTTON PLANTS; DUAL-TREE COMPLEX WAVELETS; INVARIANT MOMENT; MEAN VALUES; OTSU METHOD; PEST; RADIAL BASIS FUNCTIONS; RECOGNITION SYSTEMS; SHAPE FEATURES; SPIDER MITE; SVM; TEXTURE FEATURES; TOPOLOGICAL DESCRIPTORS; TWO LAYERS;

COLOR; COMPUTER VISION; PROGRAM DEBUGGING; RADIAL BASIS FUNCTION NETWORKS;

COTTON;

ALGORITHMS; COLOR; COMPUTER PROGRAMING; COTTON; DAMAGE; INSECTS; PESTS;

EID: 80052274974     PISSN: 10001298     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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