Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from Beijing, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “The flavor pr ofile is an important factor that affects consumer preference and purchase inten tion and plays a vital role in food production as well as in food science resear ch.” The news correspondents obtained a quote from the research from Beijing Technolo gy and Business University: “Traditional methods for determining food flavor are based on sensory evaluation, instrumental analysis, or a combination of the two . With the rapid development of computer technology, machine learning technology with high predictive ability and accuracy has been widely used for food flavor analysis and prediction. This method overcomes the limitations of traditional me thods in food flavor evaluation, which are time-consuming and cannot be used to process large quantities of data. This review discusses the latest progress in f ood flavor analysis technology and machine learning technology in food flavor re search and presents commonly used food flavor analysis techniques and machine le arning algorithms. Based on an overview of common machine learning models, this review systematically summarizes the application of machine learning in the high -throughput screening of food flavor substances, flavor perception, and flavor q uality control. The challenges and future research trends in the application of machine learning to food flavor analysis and prediction are summarized and discu ssed.”
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