首页|Findings from Fujian Normal University in the Area of Machine Learning Reported (A Fast and Highly Efficient Strategy for Detection of Camellia Oil Adulteration Using Machine Learning Assisted Sers)
Findings from Fujian Normal University in the Area of Machine Learning Reported (A Fast and Highly Efficient Strategy for Detection of Camellia Oil Adulteration Using Machine Learning Assisted Sers)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating from Fujian, People’s Republ ic of China, by NewsRx correspondents, research stated, “Camelliaoil (CAO) is a high-quality edible vegetable oil, commonly known as ‘Oriental olive oil,’ with medical valueand biological activity, but easily adulterated. Currently, we de veloped a method that combines SurfaceEnhanced Raman Spectroscopy (SERS) with m achine learning for the effective identification of camelliaoil.”
FujianPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningFujian Normal University
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