Robotics & Machine Learning Daily News2024,Issue(Jun.10) :104-104.

Recent Findings in Robotics Described by Researchers from Beijing University of Technology (Using Improved Yolo V5s To Recognize Tomatoes In a Continuous Workin g Environment)

北京工业大学研究人员描述的机器人学最新发现(使用改进的Yolo v5在连续工作环境中识别西红柿)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :104-104.

Recent Findings in Robotics Described by Researchers from Beijing University of Technology (Using Improved Yolo V5s To Recognize Tomatoes In a Continuous Workin g Environment)

北京工业大学研究人员描述的机器人学最新发现(使用改进的Yolo v5在连续工作环境中识别西红柿)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器人方面的最新数据在一份新的报告中呈现。据NewsRx记者从中华人民共和国北京发回的新闻报道,研究表明:“在采摘机器人连续工作环境中,光照变化、摄像机硬件、采摘机器人运动、图像背景干扰等因素对采摘机器人的番茄检测精度有重要影响。目前,连续工作环境的研究没有有效解决多种环境因素影响番茄识别的问题。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Robotics are presented i n a new report. According to news reporting from Beijing, People’s Republic of C hina, by NewsRx journalists, research stated, “In the continuous working environ ment of the picking robots, factors such as illumination change, camera hardware , the movement of the picking robots, and image background interference have a g reat impact on the tomato detection accuracy of the picking robots. At present, the research on continuous working environment has not effectively solved the pr oblem that multiple environmental factors affect tomato recognition.”

Key words

Beijing/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Beijing Univer sity of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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