摘要
由一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器人的新研究是一份报告的主旨。根据NewsRx记者在陕西的新闻报道，研究表明：“为了应对受控环境下番茄果实成熟度无损检测的挑战，本研究提出了一种基于边缘设备的实时实例分割方法，该方法结合了表型机器人和基于深度学习的机器视觉原理。”本研究的资助机构包括国家重点研究开发项目、北京市科委、北京市农林科学院合作创新中心。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting from Shaanxi, People’s Republic of Ch ina, by NewsRx journalists, research stated, “In order to address the challenge of non-destructive detection of tomato fruit ripeness in controlled environments , this study proposed a real-time instance segmentation method based on the edge device. This method combined the principles of phenotype robots and machine vis ion based on deep learning.” Financial supporters for this research include National Key RD Program, Beijing Municipal Science & Technology Commission, Collaborative Innovatio n Center of Beijing Academy of Agricultural and Forestry Sciences.
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