Robotics & Machine Learning Daily News2024,Issue(Nov.21) :58-58.

Recent Findings from Changzhou University Highlight Research in Robotic Systems (A growth posture identification method of immature peaches in natural environme nts)

常州大学近年来的研究热点机器人系统(一种未成熟机器人生长姿态识别方法自然环境中的桃子

Robotics & Machine Learning Daily News2024,Issue(Nov.21) :58-58.

Recent Findings from Changzhou University Highlight Research in Robotic Systems (A growth posture identification method of immature peaches in natural environme nts)

常州大学近年来的研究热点机器人系统(一种未成熟机器人生长姿态识别方法自然环境中的桃子

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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每日新闻-研究人员详细介绍机器人系统的新数据。根据新闻报道在中国人民共和国常州,由NewsRx记者报道,Research称:“准确的果实套袋机器人对未成熟桃子的套袋需要识别目标幼果果实及其生长角的获取。一次检测的netwo rk模型由于算法严重依赖移动终端,因此算法的复杂性和部署姿态都很高关于标记样品的可用性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in robotic systems. According to news reporting originatingfrom Changzhou, People’s Repub lic of China, by NewsRx correspondents, research stated, “The precisebagging of immature peaches by the fruit bagging robot requires the identification of the target youngfruits as well as the acquisition of their growth angles. The netwo rk models employed in single detectionalgorithms exhibit complexity and pose ch allenges for deployment on mobile terminals as they heavily relyon the availabi lity of labeled samples.”

Key words

Changzhou University/Changzhou/People’ s Republic of China/Asia/Emerging Technologies/Machine Learning/Robotic Syst ems/Robotics/Supervised Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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