Detecting Bakanae disease in rice seedlings by machine vision

Computers and Electronics in Agriculture

Volumn 121, Issue , 2016, Pages 404-411

  Chung, Chia Lin ^a   Huang, Kai Jyun ^a   Chen, Szu Yu ^a   Lai, Ming Hsing ^b   Chen, Yu Chia ^a   Kuo, Yan Fu ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b TAIWAN AGRICULTURAL RESEARCH INSTITUTE   (Taiwan)

Author keywords

Disease screening; Early detection; Foolish seedling; Fusarium fujikuroi; Image processing; Machine learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; CULTIVATION; DIAGNOSIS; FUNGI; GENETIC ALGORITHMS; IMAGE PROCESSING; LEARNING SYSTEMS; SUPPORT VECTOR MACHINES;

DEVELOPMENTAL STAGE; DISEASE SCREENING; FLATBED SCANNERS; FOOLISH SEEDLING; FUSARIUM; POSITIVE PREDICTIVE VALUES; RICE (ORYZA SATIVA L.); SEED BORNE DISEASE;

COMPUTER VISION;

COLOR MORPH; CULTIVAR; CULTIVATION; DETECTION METHOD; FUNGAL DISEASE; GENETIC ALGORITHM; IMAGE PROCESSING; IMAGING METHOD; MORPHOLOGY; RICE; SEED; SEEDLING; SUPPORT VECTOR MACHINE; YIELD RESPONSE;

GIBBERELLA FUJIKUROI; ORYZA SATIVA;

EID: 84954520588     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2016.01.008     Document Type: Article

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