Robotics & Machine Learning Daily News2024,Issue(Oct.14) :121-121.

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)

Robotics & Machine Learning Daily News2024,Issue(Oct.14) :121-121.

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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Abstract

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.

Key words

University Putra Malaysia/Selangor/Mal aysia/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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