Robotics & Machine Learning Daily News2024,Issue(Jul.8) :115-116.

Lvliang University Researchers Describe New Findings in Robotics (Intelligent De tection of Muskmelon Ripeness in Greenhouse Environment Based on YOLO-RFEW)

Robotics & Machine Learning Daily News2024,Issue(Jul.8) :115-116.

Lvliang University Researchers Describe New Findings in Robotics (Intelligent De tection of Muskmelon Ripeness in Greenhouse Environment Based on YOLO-RFEW)

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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 i n a new report. According to news originatingfrom Lvliang, People’s Republic of China, by NewsRx correspondents, research stated, “Accurate detectionof muskme lon fruit ripeness is crucial to ensure fruit quality, optimize picking time, an d enhance economicbenefits. This study proposes an improved lightweight YOLO-RF EW model based on YOLOv8n, aimingto address the challenges of low efficiency in muskmelon fruit ripeness detection and the complexity ofdeploying a target det ection model to a muskmelon picking robot.”

Key words

Lvliang University/Lvliang/People’s Re public of China/Emerging Technologies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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