Identification and severity determination of wheat stripe rust and wheat leaf rust based on hyperspectral data acquired using a black-paper-based measuring method

PLoS ONE

Volumn 11, Issue 4, 2016, Pages

  Wang, Hui ^a   Qin, Feng ^a   Ruan, Liu ^a   Wang, Rui ^a   Liu, Qi ^a   Ma, Zhanhong ^a   Li, Xiaolong ^a   Cheng, Pei ^a   Wang, Haiguang ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; BIOLOGICAL MONITORING; CONTROLLED STUDY; DATA PROCESSING; DISEASE SEVERITY; LEAF RUST; NONHUMAN; PARTIAL LEAST SQUARES REGRESSION; PLANT LEAF; REMOTE SENSING; STRIPE RUST; SUPPORT VECTOR MACHINE; VALIDATION STUDY; WHEAT; BASIDIOMYCETES; CHINA; CLASSIFICATION; ISOLATION AND PURIFICATION; LEAST SQUARE ANALYSIS; MICROBIOLOGY; PAPER; PATHOGENICITY; PLANT DISEASE; PROCEDURES; SPECTROPHOTOMETRY;

BASIDIOMYCOTA; CHINA; LEAST-SQUARES ANALYSIS; PAPER; PLANT DISEASES; PLANT LEAVES; REMOTE SENSING TECHNOLOGY; SPECTROPHOTOMETRY; SUPPORT VECTOR MACHINE; TRITICUM;

EID: 84966297231     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0154648     Document Type: Article

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