Robotics & Machine Learning Daily News2024,Issue(Nov.22) :44-45.

Findings from Beijing Forestry University Yields New Findings on Imaging Technol ogy (A Nondestructive Method for Determination of Green Tea Quality By Hyperspec tral Imaging)

北京林业大学的研究成果在成像技术上有了新的发现(高光谱成像无损检测绿茶品质的方法)

Robotics & Machine Learning Daily News2024,Issue(Nov.22) :44-45.

Findings from Beijing Forestry University Yields New Findings on Imaging Technol ogy (A Nondestructive Method for Determination of Green Tea Quality By Hyperspec tral Imaging)

北京林业大学的研究成果在成像技术上有了新的发现(高光谱成像无损检测绿茶品质的方法)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑新闻-调查人员讨论技术的新发现-成像技术。根据新闻报道该研究源于中华人民共和国北京,由NewsRx记者撰写,研究称:"本研究利用了es高光谱成像技术获取三级绿茶光谱图像。反射率收集了茶叶3个品质等级的光谱,即e级A、B级和C级370 nm和1040 nm。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in Technology - Imaging Technology. According to news reportingoriginating in Beijing, People ’s Republic of China, by NewsRx journalists, research stated, “This study utilizes hyperspectral imaging technology to capture spectral images of three grades o f green tea. Reflectancespectra of the three quality grades of tea, namely Grad e A, Grade B, and Grade C, were collected between370 nm and 1040 nm.”

Key words

Beijing/People’s Republic of China/Asi a/Imaging Technology/Machine Learning/Support Vector Machines/Technology/Be ijing Forestry University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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