Robotics & Machine Learning Daily News2024,Issue(Nov.29) :109-110.

Reports from Guangxi University Highlight Recent Findings in Robotics (Simultane ous Detection of Fruits and Fruiting Stems In Mango Using Improved Yolov8 Model Deployed By Edge Device)

广西大学的报告重点介绍了机器人技术的最新发现(利用Edge设备改进的Yolov8模型同时检测芒果果实和果茎)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :109-110.

Reports from Guangxi University Highlight Recent Findings in Robotics (Simultane ous Detection of Fruits and Fruiting Stems In Mango Using Improved Yolov8 Model Deployed By Edge Device)

广西大学的报告重点介绍了机器人技术的最新发现(利用Edge设备改进的Yolov8模型同时检测芒果果实和果茎)

扫码查看

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-机器人的新研究是一份报告的结尾。根据来自中华人民共和国南宁,NewsRx记者,研究称,“防止芒果果实”芒果机器人采摘过程中损伤的同时检测芒果果实和果茎是上游的关键任务。然而,完成这样的任务仍然是一个值得注意的问题复杂且资源有限的ED果园环境带来的挑战,例如电源、阻塞、可变光线和颜色的相似性"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reporting fromNanning, People’s Republic of Ch ina, by NewsRx journalists, research stated, “To prevent mango fruitsfrom being damaged in mango fruit robotic picking, accurate and cost-effective simultaneou s detection ofmango fruits and fruiting stems is a key upstream task. Yet accom plishing such task remains a notablechallenge due to complex and resource-limit ed orchard environments such as power supply, occlusion,variable light and colo r similarity.”

Key words

Nanning/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Robotics/Robots/Guangxi University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文