首页|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)
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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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.”
BandungIndonesiaAsiaAlgorithmsCy borgsEmerging TechnologiesMachine LearningTechnologySchool of Applied Sc iences
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