首页|Data on Robotics and Machine Learning Reported by Researchers at Shandong Normal University (Fcos-eam: an Accurate Segmentation Method for Overlapping Green Fru its)
Data on Robotics and Machine Learning Reported by Researchers at Shandong Normal University (Fcos-eam: an Accurate Segmentation Method for Overlapping Green Fru its)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics and Machine Le arning is now available. According to news reporting from Jinan, People’s Republ ic of China, by NewsRx journalists, research stated, “Accurate fruit detection a nd segmentation based on deep learning is the key to successful harvesting robot operations, but the complex background of orchards, light and branch shading, a nd fruit overlap lead to low detection and segmentation accuracy and high comple xity of existing methods. To address these problems, an improved green fruit seg mentation method based on FCOS is proposed in this study.”
JinanPeople’s Republic of ChinaAsiaRobotics and Machine LearningShandong Normal University
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