… detection procedures. The goal of this work is to use image analysis and deep learning to
classify pork … their study for supervising pork meat freshness classified by k-Nearest Neighbor. …

… has employed deep learning to determine the pork freshness … of pork meat with different
freshness are similar and that it is … pork freshness without the aid of machine learning methods. …

… time detection techniques and machine learning in meat quality … 2–3 days (before and after
the indicated expiration dates), by … (kNN) is a non-parametric supervised method that predicts …

… The use of various supervised machine learning approaches … predicted, such as the freshness
of pork meat in this study. … a machine learning-based pork meat quality detection and shelf-…

… time in a magnetic field for pork and lamb meats to verify the … freshly refrigerated, long-term
refrigerated, and thawed beef … model to identify the thawed state of meat and classify the meat …

… Several methods for identifying pork in the meat products have been explored and … mainly
used commercial tools based on biochemical detection techniques (eg, differential scanning …

… to automatically identify the fresh level of meat based on FSA … The entire meat freshness
recognition process only takes 5 ∼ … to monitor the freshness of beef, chicken, and pork in real-…

… In terms of supervised learning, a similar analytic tool is linear … With the development of
deep learning, some deep neural … , we can simplify it by only identifying the fresh meat. …

… is a popular supervised machine learning algorithm used for classification and regression
tasks. The basic concept behind SVM is to identify … even when data is not linearly separable by …

… method is a classic supervised machine learning method that imitates human decision-making,
which mainly experiences two stages of learning … method for TVB-N measurement in pork …