首页|Findings from Nanjing University of Chinese Medicine Broaden Understanding of Ma chine Learning (Machine Learning Combined With Multi-source Data Fusion for Rapi d Quality Assessment of Yellow Rice Wine With Different Aging Years)
Findings from Nanjing University of Chinese Medicine Broaden Understanding of Ma chine Learning (Machine Learning Combined With Multi-source Data Fusion for Rapi d Quality Assessment of Yellow Rice Wine With Different Aging Years)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators publish new report on Machine Learn ing. According to news reporting out of Nanjing,People’s Republic of China, by NewsRx editors, research stated, “Aging is a crucial factor for high-qualityalc oholic beverages, which improves the flavor of alcoholic beverages such as yello w rice wine (YRW).However, traditional analytical methods for evaluating the qu ality of YRW are very tedious, and there isstill a lack of rapid quality assess ment methods for YRW with different aging times.”
NanjingPeople’s Republic of ChinaAsi aBeverageCyborgsEmerging TechnologiesFoodMachine LearningNanjing Uni versity of Chinese Medicine
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