Feasibility of utilizing color imaging and machine learning for adulteration detection in minced meat-Reference-Cited by-同舟云学术

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Feasibility of utilizing color imaging and machine learning for adulteration detection in minced meat

Published:2021-12 Issue: Volume:6 Page:100251
ISSN:2666-1543
Container-title:Journal of Agriculture and Food Research
language:en
Short-container-title:Journal of Agriculture and Food Research

Author:

Rady Ahmed M.^ORCID,Adedeji Akinbode^ORCID,Watson Nicholas J.

Funder

Kentucky Agricultural Experiment Station

United States Department of Agriculture Forest Service Pacific Northwest Region

U.S. Department of Agriculture

National Institute of Food and Agriculture

Publisher

Elsevier BV

Subject

Agricultural and Biological Sciences (miscellaneous),Agronomy and Crop Science,Food Science

Reference71 articles.

1. Defining the public health threat of food fraud;Spink;J. Food Sci.,2011

2. The European'horsemeat scandal': a welcome opportunity for the halal supply chain?;Madichie;J. Cust. Behav.,2015

3. Meat composition;Kauffman;Meat science and applications,2001

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