Robotics & Machine Learning Daily News2024,Issue(Apr.19) :95-96.

Studies from School of Applied Sciences Add New Findings in the Area of Machine Learning (Electronic Nose and Optimized Machine Learning Algorithms for Noninfus ed Aroma-based Quality Identification of Gambung Green Tea)

Robotics & Machine Learning Daily News2024,Issue(Apr.19) :95-96.

Studies from School of Applied Sciences Add New Findings in the Area of Machine Learning (Electronic Nose and Optimized Machine Learning Algorithms for Noninfus ed Aroma-based Quality Identification of Gambung Green Tea)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting out of Bandung,Indonesia, by NewsRx editors, resear ch stated, “Tea is a widely consumed beverage globally, significantlyimpacting taste, aroma, and consumer satisfaction. Traditional methods of assessing tea qu ality rely onsubjective sensory evaluation by expert panels, which can be time- consuming, expensive, and prone tobiases.”

Key words

Bandung/Indonesia/Asia/Algorithms/Cy borgs/Emerging Technologies/Machine Learning/Technology/School of Applied Sc iences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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