首页|Findings from Northwest A&F University Provide New Insights into Ro botics (Method for the Real-time Detection of Tomato Ripeness Using a Phenotype Robot and Rp-yolactedge)
Findings from Northwest A&F University Provide New Insights into Ro botics (Method for the Real-time Detection of Tomato Ripeness Using a Phenotype Robot and Rp-yolactedge)
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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.
ShaanxiPeople's Republic of ChinaAsi aEmerging TechnologiesGeneticsMachine LearningNano-robotRobotRobotic sNorthwest A&F University
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