Comparison of Various RGB Image Features for Nondestructive Prediction of Ripening Quality of “Alphonso” Mangoes for Easy Adoptability in Machine Vision Applications: A Multivariate Approach-Reference-Cited by-同舟云学术

Comparison of Various RGB Image Features for Nondestructive Prediction of Ripening Quality of “Alphonso” Mangoes for Easy Adoptability in Machine Vision Applications: A Multivariate Approach

Published:2016-12 Issue:6 Volume:39 Page:816-825
ISSN:0146-9428
Container-title:Journal of Food Quality
language:en
Short-container-title:Journal of Food Quality

Author:

Eyarkai Nambi V.¹^ORCID,Thangavel K.²,Shahir S.³,Thirupathi V.²

Affiliation:

1. Central Institute of Post-harvest Engineering and Technology; Ludhiana India

2. Department of Food and Agricultural Process Engineering; Tamil Nadu Agricultural University; Coimbatore India

3. Agricultural Engineering College, Kerala Agricultural University; Thrissur India

Publisher

Wiley

Subject

Safety, Risk, Reliability and Quality,Food Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jfq.12245/fullpdf

Reference39 articles.

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3. Influence of color on perception of sweetness and fruit flavor of fruit drinks;Bayarri;Food Sci. Technol. Int.,2001

4. Consumer acceptance of ‘Brooks’ and ‘Bing'cherries is mainly dependent on fruit SSC and visual skin color;Crisosto;Postharv. Biol. Technol.,2003

5. Computer image analysis of seed shape and seed color for flax cultivar description;Dana;Comput. Electron. Agric.,2008

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