Robotics & Machine Learning Daily News2024,Issue(Jun.3) :3-3.

Researchers from Zhejiang University Report Findings in Artificial Intelligence (An Efficient Artificial Intelligence Algorithm for Predicting the Sensory Quali ty of Green and Black Teas Based On the Key Chemical Indices)

浙江大学的研究人员报告了人工智能的发现(一种基于关键化学指标预测绿茶和红茶感官质量的有效人工智能算法)

Robotics & Machine Learning Daily News2024,Issue(Jun.3) :3-3.

Researchers from Zhejiang University Report Findings in Artificial Intelligence (An Efficient Artificial Intelligence Algorithm for Predicting the Sensory Quali ty of Green and Black Teas Based On the Key Chemical Indices)

浙江大学的研究人员报告了人工智能的发现(一种基于关键化学指标预测绿茶和红茶感官质量的有效人工智能算法)

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摘要

机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-目前关于人工智能的研究结果已经发表。根据NewsRx编辑在中国杭州的新闻报道,研究表明:“决定绿茶和红茶品质的关键成分仍不清楚。我们分别于3月和6月生产绿茶和红茶,并利用多元统计、生物信息学和人工智能算法研究干茶感官品质与化学成分之间的相关性。”本研究经费来源于浙江省农业新品种选育项目茶树。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Artificial Intelligence have been published. According to news reporting out of Hangzhou, People’s Repub lic of China, by NewsRx editors, research stated, “The key components dominating the quality of green tea and black tea are still unclear. Here, we respectively produced green and black teas in March and June, and investigated the correlati ons between sensory quality and chemical compositions of dry teas by multivariat e statistics, bioinformatics and artificial intelligence algorithm.” Financial support for this research came from Zhejiang Science and Technology Ma jor Program on Agricultural New Variety Breeding-Tea Plant.

Key words

Hangzhou/People’s Republic of China/As ia/Algorithms/Artificial Intelligence/Emerging Technologies/Machine Learning/Zhejiang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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