Development of freshness indicator for monitoring chicken breast quality and freshness during storage

Research Progress on Quality Detection of Livestock and Poultry Meat Based on Machine Vision, Hyperspectral and Multi-Source Information Fusion Technologies

“…Figure 4 shows the application scenario of machine vision technolog in livestock and poultry meat quality detection. Freshness is considered one of the most crucial indicators for assessing meat qualit and safety [17]. Luo et al [18] employed machine vision technology and machine learnin models to assess the freshness of beef.…”

“…Initially, the RO in the collected images was segmented, followed by preprocessing techniques such as fi tering, denoising, and downsampling. Next, the Oriented Bounding Box algorithm an volume algorithm were used to determine the depth and volume of the processed image Freshness is considered one of the most crucial indicators for assessing meat quality and safety [17]. Luo et al [18] employed machine vision technology and machine learning models to assess the freshness of beef.…”