Raw Pork and Beef Quality Determination through pH level and Lipid Oxidation Patterns and Image Processing

被引:0
|
作者
Balbin, Jessie R. [1 ]
Ibarra, Joseph Bryan G. [1 ]
Borja, Carlo Reese F. [1 ]
de Dios, Neil Leander A. [1 ]
Pangilinan, Paul Nicko G. [1 ]
Yan, Miguel Francis B. [1 ]
机构
[1] Mapua Univ, Sch Elect Elect & Comp Engn, Manila, Philippines
关键词
Meat Quality; Gas Sensor; Image Processing; Lipid Oxidation; Oxidation Pattern; pH level; pH meter;
D O I
10.1117/12.2540892
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The purpose of this paper is to determine the meat quality of raw pork and beef by means of a gas sensor and Open Source Computer Vision for real-time pattern recognition. This is to reinforce the meat quality detection. Nowadays, people only rely on a simple test method in determining the meat quality. This includes, sensory evaluation, physical, chemical and microbiological testing are described. Lipid Oxidation is a reaction that takes place when oxygen has access to products containing fat or pigments. The main purpose of the study is to determine the quality of raw pork and beef via different but effective methods. Subsequent to this, Oxidation pattern of meat was also investigated.
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页数:5
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