首页|Findings in Robotics and Machine Learning Reported from NingxiaUniversity (Mfenet: Multi-scale Feature Extraction Network for Images Deblurring and Segmentation of Swinging Wolfberry Branch)
Findings in Robotics and Machine Learning Reported from NingxiaUniversity (Mfenet: Multi-scale Feature Extraction Network for Images Deblurring and Segmentation of Swinging Wolfberry Branch)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics and Machine Learning. According to newsreporting from Yinchuan, People’s Republic of China, by NewsRx journalists, research stated, “Wolfberryharvesting faces challenges related to factors such as wind-induced branch movement and mechanical armcollisions, which lead to undesirable swinging of wolfberry branches. This motion results in blurred images captured by imaging devices, which hampers the effectiveness of the harvesting robot arm in identifyingand grasping the wolfberry branches.”
YinchuanPeople’s Republic of ChinaAsiaRobotics and Machine LearningNingxia University
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