Identification of barley scab based on multi-spectral imaging technology

Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Volumn 25, Issue SUPPL. 2, 2009, Pages 204-207

  Sun, Guangming ^a   Yang, Kaisheng ^a   Zhang, Chuanqing ^b   Wu, Di ^a   He, Yong ^a   Feng, Lei ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b ZHEJIANG A F UNIVERSITY   (China)

Author keywords

Barley; Barley scab; Identification; Least square support vector machine; Partial least squares analysis; Plant protection; Spectrum analysis

Indexed keywords

CALIBRATION METHOD; CROP PRODUCTION; EIGENVECTORS; GRAY VALUE; IDENTIFICATION; IDENTIFYING MODELS; INPUT DATAS; LEAST SQUARE SUPPORT VECTOR MACHINES; LEAST-SQUARES SUPPORT VECTOR MACHINES; MEAN VALUES; MULTISPECTRAL IMAGES; MULTISPECTRAL IMAGING; ORIGINAL IMAGES; PARTIAL LEAST SQUARES ANALYSIS; PLANT PROTECTION; RELIABLE DETECTION; SITE-SPECIFIC; STATISTICAL CHARACTERISTICS; SVM MODEL; THRESHOLD SEGMENTATION;

CROPS; CULTIVATION; EIGENVALUES AND EIGENFUNCTIONS; IMAGE PROCESSING; IMAGE RETRIEVAL; IMAGING TECHNIQUES; INDUSTRIAL MANAGEMENT; INTERFEROMETRY; SPECTRUM ANALYSIS; SPECTRUM ANALYZERS;

SUPPORT VECTOR MACHINES;

EID: 74049088211     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1002-6819.2009.z2.039     Document Type: Article

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