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)

Robotics & Machine Learning Daily News2024，Issue(Dec.23) ：30-30.

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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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Abstract

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.”

Key words

Fujian/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Fujian Normal University

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出版年

2024

Robotics & Machine Learning Daily News

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