首页|Study Findings on Robotics Described by Researchers at University Putra Malaysia (Oil Palm Loose Fruit Detection Using YOLOv4 for an Autonomous Mobile Robot Col lector)
Study Findings on Robotics Described by Researchers at University Putra Malaysia (Oil Palm Loose Fruit Detection Using YOLOv4 for an Autonomous Mobile Robot Col lector)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotics are disc ussed in a new report. According to news originating from Selangor, Malaysia, by NewsRx editors, the research stated, “This study researches the usage of YOLOv4 for real-time loose fruit detection in oil palm plantations as the first step i n implementing automation in the collection of loose fruits. Our system leverage s high-resolution video data (4K and 1080p) from various plantation settings.” Financial supporters for this research include Malaysian Palm Oil Board; Univers iti Putra Malaysia Research Grant.
University Putra MalaysiaSelangorMal aysiaAsiaEmerging TechnologiesMachine LearningRobotRobotics
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