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Analysis of beef quality according to color changes using computer vision and white-box machine learning techniques

  • Published:2023-07 Issue:7 Volume:9 Page:e17976
  • ISSN:2405-8440
  • Container-title:Heliyon
  • language:en
  • Short-container-title:Heliyon

Author:

Sánchez Claudia N.,Orvañanos-Guerrero María TeresaORCID,Domínguez-Soberanes JulietaORCID,Álvarez-Cisneros Yenizey M.

Funder

Universidad Panamericana

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference40 articles.

1. Quality multiverse of beef and pork meat in a single score;Rajic;Foods,2022

2. Recent advances in meat color research;Tomasevic;Curr. Opin. Food Sci.,2021

3. Human perception of color differences using computer vision system measurements of raw pork loin;Altmann;Meat Sci.,2022

4. AMSA Meat Color Measurement Guidelines: AMSA;Association,2012

5. CIELAB color paths during meat shelf life;Salueña;Meat Sci.,2019

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