Robotics & Machine Learning Daily News2024,Issue(Jan.26) :61-62.

Zhejiang Science Technical University Details Findings in Robotics (Dsw-yolo: a Detection Method for Ground-planted Strawberry Fruits Under Different Occlusion Levels)

Robotics & Machine Learning Daily News2024,Issue(Jan.26) :61-62.

Zhejiang Science Technical University Details Findings in Robotics (Dsw-yolo: a Detection Method for Ground-planted Strawberry Fruits Under Different Occlusion Levels)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented in a new report. According to news originatingfrom Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “The problemsof stem and leaf shading, fruit overlapping, and different ripening stages pose a great challenge to pickingrobots, which are usual for the ground-planted strawberries in field. To achieve accurate detection ofripe strawberries and their occlusion levels, a DSW-YOLO (DCNv3-SA-WIoU-YOLO) network model isproposed based on the YOLOv7 network model.”

Key words

Hangzhou/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Zhejiang Science Technical University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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