首页|Recent Findings in Robotics Described by Researchers from Beijing University of Technology (Using Improved Yolo V5s To Recognize Tomatoes In a Continuous Workin g Environment)
Recent Findings in Robotics Described by Researchers from Beijing University of Technology (Using Improved Yolo V5s To Recognize Tomatoes In a Continuous Workin g Environment)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Robotics are presented i n a new report. According to news reporting from Beijing, People’s Republic of C hina, by NewsRx journalists, research stated, “In the continuous working environ ment of the picking robots, factors such as illumination change, camera hardware , the movement of the picking robots, and image background interference have a g reat impact on the tomato detection accuracy of the picking robots. At present, the research on continuous working environment has not effectively solved the pr oblem that multiple environmental factors affect tomato recognition.”
BeijingPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRoboticsBeijing Univer sity of Technology
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