scholarly journals A review on meat quality evaluation methods based on non-destructive computer vision and artificial intelligence technologies

2021 ◽  
Author(s):  
Yinyan Shi ◽  
Xiaochan Wang ◽  
Borhan Mohammad ◽  
Jennifer Young ◽  
David Newman ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Meat Quality ◽  
Quality Evaluation ◽  
Evaluation Methods ◽  
Non Destructive

Non-destructive and contactless quality evaluation of table grapes by a computer vision system

2019 ◽  
Vol 156 ◽  
pp. 558-564 ◽  
Author(s):  
Dario Pietro Cavallo ◽  
Maria Cefola ◽  
Bernardo Pace ◽  
Antonio Francesco Logrieco ◽  
Giovanni Attolico
Keyword(s):  
Computer Vision ◽  
Quality Evaluation ◽  
Vision System ◽  
Computer Vision System ◽  
Table Grapes ◽  
Non Destructive

scholarly journals Computer Vision Method in Beer Quality Evaluation—A Review

Beverages ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 38 ◽  
Author(s):  
Jasmina Lukinac ◽  
Kristina Mastanjević ◽  
Krešimir Mastanjević ◽  
Gjore Nakov ◽  
Marko Jukić
Keyword(s):  
Computer Vision ◽  
Product Quality ◽  
Quality Evaluation ◽  
Food Product ◽  
Quality Inspection ◽  
External Quality ◽  
Visual Appearance ◽  
Manual Inspection ◽  
Inspection Systems ◽  
Non Destructive

Beers are differentiated mainly according to their visual appearance and their fermentation process. The main quality characteristics of beer are appearance, aroma, flavor, and mouthfeel. Important visual attributes of beer are foam appearance (volume and persistence), as well as the color and clarity. To replace manual inspection, automatic, objective, rapid and repeatable external quality inspection systems, such as computer vision, are becoming very important and necessary. Computer vision is a non-contact optical technique, suitable for the non-destructive evaluation of the food product quality. Currently, the main application of computer vision occurs in automated inspection and measurement, allowing manufacturers to keep control of product quality. This paper presents an overview of the applications and the latest achievements of the computer vision methods in determining the external quality attributes of beer.

Meat quality evaluation based on computer vision technique: A review

Meat Science ◽  
2019 ◽  
Vol 156 ◽  
pp. 183-195 ◽  
Author(s):  
Amin Taheri-Garavand ◽  
Soodabeh Fatahi ◽  
Mahmoud Omid ◽  
Yoshio Makino
Keyword(s):  
Computer Vision ◽  
Meat Quality ◽  
Quality Evaluation ◽  
Vision Technique ◽  
Computer Vision Technique
Sign in / Sign up

Export Citation Format

Share Document