Multiple regression models and Computer Vision Systems to predict antioxidant activity and total phenols in pigmented carrots

Journal of Food Engineering

Volumn 117, Issue 1, 2013, Pages 74-81

  Pace, Bernardo ^a   Cefola, Maria ^a   Renna, Floriana ^b   Renna, Massimiliano ^a,c   Serio, Francesco ^a   Attolico, Giovanni ^b  

^a INSTITUTE OF SCIENCES OF FOOD PRODUCTION   (Italy)

^b CNR   (Italy)

^c UNIVERSITY OF BARI   (Italy)

Author keywords

Antioxidant activity; Colorimeter; Computer Vision System; Modelling; Predictive analysis; Total phenols

Indexed keywords

ANTI-OXIDANT ACTIVITIES; COMPUTER VISION SYSTEM; DETERMINATION COEFFICIENTS; MULTIPLE LINEAR REGRESSIONS; MULTIPLE REGRESSION MODEL; PREDICTIVE ANALYSIS; TOTAL PHENOL CONTENTS; TOTAL PHENOLS;

COLORIMETERS; COLORIMETRY; COMPUTER VISION; LINEAR REGRESSION; MODELS; PHENOLS;

COLOR;

EID: 84874836838     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2013.02.005     Document Type: Article

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