A detection method of rice process quality based on the color and BP neural network

IFIP Advances in Information and Communication Technology

Volumn 344 AICT, Issue PART 1, 2011, Pages 25-34

  Wan, Peng ^a,b   Long, Changjiang ^a   Huang, Xiaomao ^a  

^a HUAZHONG AGRICULTURAL UNIVERSITY   (China)

^b JILIN UNIVERSITY   (China)

Author keywords

BP neural network; Process quality; Rice; Rice color

Indexed keywords

BP NEURAL NETWORKS; COLOR FEATURE EXTRACTION; COLOR FEATURES; COMPUTER VISION TECHNOLOGY; DETECTION METHODS; DIFFERENT PROCESS; INPUT VALUES; PROCESS QUALITY; RICE; RICE COLOR; SUB-DOMAINS; SUB-REGIONS; SURFACE PROCESS;

AGRICULTURE; COLOR; COMPUTER VISION; FEATURE EXTRACTION;

NEURAL NETWORKS;

EID: 79951668796     PISSN: 18684238     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-18333-1_4     Document Type: Conference Paper

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