首页|Lvliang University Researchers Describe New Findings in Robotics (Intelligent De tection of Muskmelon Ripeness in Greenhouse Environment Based on YOLO-RFEW)
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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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.”
Lvliang UniversityLvliangPeople’s Re public of ChinaEmerging TechnologiesMachine LearningRobotRobotics
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