… to be successful in VOCs detection for TVC estimation are e-… , the paper is organized as
follows: Materials and Methods used in this … are launched, which do not require any supervision. …

… is the most widely eaten meat in the world except for pork, … and tracking of harmful
substances and freshness detection is … In conclusion, based on machine learning, fluorescence …

… approach to food quality monitoring and spoilage detection … Moreover, machine learning
methods applied to the sensor … from pork and milk, which allows selective freshness detection of …

… in the pork meat and a reduction in pork freshness due to the … linked to the spoilage of pork
meat. This study attempted a … Supervised machine learning can be explained as a method …

… commonly used supervised algorithms in food identification, … machine learning methods is
93.9%, while the recognition rate of … of pork in mutton, the R 2 value of the regression model is …

… It is made from pork through a unique process in which the muscle fibers become flaky or …
, a deep learning-based approach is proposed to detect the quality characteristics of pork floss …

… Strict supervision and testing of meat adulteration in the market are of utmost importance …
Transfer learning is a type of machine learning method, which can make use of the knowledge …

… of our method to automate product identification on beef … beef, pure pork, and adulterated
meats from a multispectral … classification, identification of freshness, and nutrient prediction …

… study is to implement machine learning (ML) to identify and … , classification or prediction is
supervised learning in which the … Cui, “Analysis of pork adulteration in minced mutton using …

… containing meat quality, muscle fatty acids, and gut microbiota from 291 pigs to identify …
typically evaluated using L, a, and b values, which re ect the freshness of the meat. A higher …