Adulteration detection of honey based on near-infrared spectroscopy

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

Volumn 27, Issue 11, 2011, Pages 382-387

  Tu, Zhenhua ^a,b   Zhu, Dazhou ^c   Ji, Baoping ^a   Chen, Hongqian ^a   Qing, Zhaoshen ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b China Food Industry Promotion Center   (China)

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

Author keywords

Adulteration detection; Algorithms; Honey; Infrared spectroscopy; Pattern recognition

Indexed keywords

CLASSIFICATION ACCURACY; DISCRIMINATE ANALYSIS; ERROR BACK PROPAGATION; HONEY; LEAST SQUARES SUPPORT VECTOR MACHINES; NIR SPECTRUM; PARTIAL LEAST SQUARES; PATTERN RECOGNITION METHOD; SOFT INDEPENDENT MODELING OF CLASS ANALOGIES;

ALGORITHMS; BACKPROPAGATION; CALIBRATION; FORECASTING; FRUCTOSE; GLUCOSE; INFRARED DEVICES; INFRARED SPECTROSCOPY; LEAST SQUARES APPROXIMATIONS; NEAR INFRARED SPECTROSCOPY; PATTERN RECOGNITION; SPECTROMETERS; SUPPORT VECTOR MACHINES;

FOOD PRODUCTS;

EID: 81355151487     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1002-6819.2011.11.071     Document Type: Article

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