Detection of rice sheath blight using an unmanned aerial system with high-resolution color and multispectral imaging

PLoS ONE

Volumn 13, Issue 5, 2018, Pages

  Zhang, Dongyan ^a   Zhou, Xingen ^b   Zhang, Jian ^c   Lan, Yubin ^b,d   Xu, Chao ^a   Liang, Dong ^a  

^a ANHUI UNIVERSITY   (China)

^b TEXAS A AND M UNIVERSITY   (United States)

^c HUAZHONG AGRICULTURAL UNIVERSITY   (China)

^d SOUTH CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT; ARTICLE; COLOR; CONTROLLED STUDY; CULTIVAR; DISEASE SEVERITY; MEASUREMENT ACCURACY; NONHUMAN; RICE; SHEATH BLIGHT; UNMANNED AERIAL VEHICLE; VEGETATION; ENVIRONMENTAL MONITORING; GROWTH, DEVELOPMENT AND AGING; IMAGE PROCESSING; IMMUNOLOGY; MICROBIOLOGY; ORYZA; PLANT DISEASE; PREVENTION AND CONTROL; PROCEDURES; REMOTE SENSING;

AIRCRAFT; COLOR; ENVIRONMENTAL MONITORING; IMAGE PROCESSING, COMPUTER-ASSISTED; ORYZA; PLANT DISEASES; REMOTE SENSING TECHNOLOGY;

EID: 85046884260     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0187470     Document Type: Article

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