Robotics & Machine Learning Daily News2024,Issue(Nov.13) :48-48.

Data on Robotics Discussed by Researchers at Hainan University (An improved YOLO v8n-IRP model for natural rubber tree tapping surface detection and tapping key point positioning)

Robotics & Machine Learning Daily News2024,Issue(Nov.13) :48-48.

Data on Robotics Discussed by Researchers at Hainan University (An improved YOLO v8n-IRP model for natural rubber tree tapping surface detection and tapping key point positioning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on robotics is now availab le. According to news originating from Haikou,People’s Republic of China, by Ne wsRx correspondents, research stated, “Aiming at the problem thatlightweight al gorithm models are difficult to accurately detect and locate tapping surfaces an d tappingkey points in complex rubber forest environments, this paper proposes an improved YOLOv8n-IRP modelbased on the YOLOv8n-Pose.”

Key words

Hainan University/Haikou/People’s Repu blic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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