Application of hyperspectral imaging technology to discriminate different geographical origins of Jatropha curcas L. seeds

Computers and Electronics in Agriculture

Volumn 99, Issue , 2013, Pages 186-193

  Gao, Junfeng ^a   Li, Xiaoli ^a   Zhu, Fengle ^a   He, Yong ^a,b  

^a ZHEJIANG UNIVERSITY   (China)

^b AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

Author keywords

Discrimination; Effective wavelength selection; Hyperspectral imaging; Image processing analysis; Jatropha curcas L.; Least square support vector machine (LS SVM)

Indexed keywords

IMAGE PROCESSING; IMAGING TECHNIQUES; NONDESTRUCTIVE EXAMINATION; NONINVASIVE MEDICAL PROCEDURES; PRINCIPAL COMPONENT ANALYSIS; SPECTROSCOPY;

DISCRIMINATION; EFFECTIVE WAVELENGTH; HYPERSPECTRAL IMAGING; JATROPHA CURCAS L; LEAST SQUARE SUPPORT VECTOR MACHINES;

SUPPORT VECTOR MACHINES;

ALGORITHM; DISCRIMINANT ANALYSIS; EVERGREEN TREE; IMAGE PROCESSING; MACHINERY; MORPHOLOGY; NEAR INFRARED; NUMERICAL MODEL; QUALITY CONTROL; SEED; SPECTRAL ANALYSIS; TECHNOLOGICAL DEVELOPMENT; WAVELENGTH;

CHINA;

JATROPHA CURCAS;

EID: 84885444425     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2013.09.011     Document Type: Article

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