Variety identification of Chinese cabbage seeds using visible and near-infrared spectroscopy

Transactions of the ASABE

Volumn 51, Issue 6, 2008, Pages 2193-2199

  Wu, Di ^a   Feng, Lei ^a   He, Yong ^a   Bao, Yidan ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Chinese cabbage seeds; Least squares support vector machine (LS SVM); Sensitive wavelengths; Variety identification; Visible and near infrared reflectance spectroscopy

Indexed keywords

CHINESE CABBAGE SEEDS; LEAST-SQUARES SUPPORT VECTOR MACHINE (LS-SVM); SENSITIVE WAVELENGTHS; VARIETY IDENTIFICATION; VISIBLE AND NEAR-INFRARED REFLECTANCE SPECTROSCOPY;

BRAIN; CALIBRATION; COMPUTATIONAL FLUID DYNAMICS; DISCRIMINANT ANALYSIS; IMAGE RETRIEVAL; INDEPENDENT COMPONENT ANALYSIS; INFRARED DEVICES; INFRARED SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS; REFLECTION; RESEARCH AIRCRAFT; SEED; SPECTROSCOPIC ANALYSIS; SPECTROSCOPY; SUPPORT VECTOR MACHINES; TWO PHASE FLOW; VECTORS;

SPECTRUM ANALYSIS;

DISCRIMINANT ANALYSIS; IDENTIFICATION METHOD; LEAFY VEGETABLE; MODELING; NEAR INFRARED;

BRASSICA RAPA SUBSP. PEKINENSIS;

EID: 58149240356     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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