Raw pork and beef quality determination through pH level and lipid oxidation patterns and image processing

Jessie R. Balbin, Joseph Bryan G. Ibarra, Carlo Reese F. Borja, Neil Leander A. de Dios, Paul Nicko G. Pangilinan, Miguel Francis B. Yan
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Abstract

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.
通过pH值和脂质氧化模式及图像处理测定生猪肉和牛肉的质量
本文的目的是通过气体传感器和开源计算机视觉实时模式识别来确定生猪肉和牛肉的肉质。这是为了加强肉品质量检测。现在,人们只依靠一种简单的测试方法来确定肉的品质。这包括感官评价、物理、化学和微生物测试。脂质氧化是氧气接触到含有脂肪或色素的产品时发生的反应。本研究的主要目的是通过不同但有效的方法来确定生猪肉和生牛肉的质量。随后,对肉的氧化模式也进行了研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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