Identification method of rice leaf blast using multilayer perception neural network

Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Volumn 25, Issue SUPPL. 2, 2009, Pages 213-217

  Liu, Libo ^a,b   Zhou, Guomin ^a  

^a INSTITUTE OF PLANT PROTECTION   (China)

^b NINGXIA UNIVERSITY   (China)

Author keywords

Classifiers; Feature extraction; Image recognition; Multilayer neural networks; Rice leaf blast

Indexed keywords

ACCURACY RATE; AUTOMATIC DIAGNOSIS; B VALUE; BP NEURAL NETWORK CLASSIFIER; COLOR FEATURES; COMBINED FEATURES; COMPARATIVE ANALYSIS; GRAY LEVEL CO-OCCURRENCE MATRIX; GRAY-SCALE IMAGES; IDENTIFICATION METHOD; IMAGE PROCESSING TECHNIQUE; INPUT PARAMETER; MULTI-LAYER PERCEPTION; MULTILAYER PERCEPTION NEURAL NETWORKS; OUTPUT LAYER; RGB COLOR SPACE; RGB IMAGES; RICE LEAF; RICE LEAF BLAST; TEST OBJECT; TEXTURE FEATURES;

CLASSIFIERS; COLOR; DIAGNOSIS; FEATURE EXTRACTION; IMAGE ENHANCEMENT; IMAGE RECOGNITION; MULTILAYERS; TEXTURES;

MULTILAYER NEURAL NETWORKS;

EID: 74049147862     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1002-6819.2009.z2.041     Document Type: Article

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