Detecting powdery mildew of winter wheat using leaf level hyperspectral measurements

Computers and Electronics in Agriculture

Volumn 85, Issue , 2012, Pages 13-23

  Zhang, Jing Cheng ^a,b,c   Pu, Rui liang ^b   Wang, Ji hua ^a   Huang, Wen jiang ^a   Yuan, Lin ^a,c   Luo, Ju hua ^a  

^a BEIJING RESEARCH CENTER FOR INFORMATION TECHNOLOGY IN AGRICULTURE   (China)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

^c ZHEJIANG UNIVERSITY   (China)

Author keywords

Cross validation; Fisher linear discriminate analysis (FLDA); Partial least square regression (PLSR); Powdery mildew; Spectral feature

Indexed keywords

CROSS VALIDATION; DISCRIMINATE ANALYSIS; PARTIAL LEAST SQUARE REGRESSION; POWDERY MILDEW; SPECTRAL FEATURE;

CROPS; ESTIMATION; MEAN SQUARE ERROR; REGRESSION ANALYSIS; REMOTE SENSING;

FUNGI;

ACCURACY ASSESSMENT; DISCRIMINANT ANALYSIS; DISEASE SEVERITY; FUNGAL DISEASE; MEASUREMENT METHOD; NUMERICAL MODEL; SPECTRAL ANALYSIS; TRADITIONAL AGRICULTURE; WHEAT;

BLUMERIA GRAMINIS; ERYSIPHALES; TRITICUM AESTIVUM;

EID: 84859936093     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2012.03.006     Document Type: Article

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