首页|Zhejiang Science Technical University Details Findings in Robotics (Dsw-yolo: a Detection Method for Ground-planted Strawberry Fruits Under Different Occlusion Levels)
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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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.”
HangzhouPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsZhejiang Science Technical University
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