Application of Electronic Nose and Statistical Analysis to Predict Quality Indices of Peach

Food and Bioprocess Technology

Volumn 5, Issue 1, 2012, Pages 65-72

  Zhang, Hongmei ^a,b   Wang, Jun ^a   Ye, Sheng ^a   Chang, Mingxun ^c  

^a ZHEJIANG UNIVERSITY   (China)

^b HENAN AGRICULTURAL UNIVERSITY   (China)

^c Baihe International Highway Technology Co Ltd ^*  (China)

Author keywords

Electronic nose; Partial least squares regressions (PLS); Peach; Principal component regression (PCR); Quality

Indexed keywords

CORRELATION COEFFICIENT; ELECTRONIC NOSE; FRUIT QUALITY; PARTIAL LEAST-SQUARES REGRESSION; PEACH; PLS MODELS; PRINCIPAL COMPONENT REGRESSION; QUALITY INDICES; STANDARD ERROR OF PREDICTION; SUGAR CONTENT;

ARTIFICIAL ORGANS; ELECTRONIC EQUIPMENT; FORECASTING; IMAGE QUALITY; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SENSOR ARRAYS; SUGARS;

FISH;

PRUNUS PERSICA;

EID: 84856227764     PISSN: 19355130     EISSN: 19355149     Source Type: Journal    
DOI: 10.1007/s11947-009-0295-7     Document Type: Article

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