首页|Researchers from Beijing Forestry University Detail New Studies and Findings in the Area of Robotics and Machine Learning (Detection the Maturity of Multi-cultivar Olive Fruit In Orchard Environments Based On Olive-efficientdet)
Researchers from Beijing Forestry University Detail New Studies and Findings in the Area of Robotics and Machine Learning (Detection the Maturity of Multi-cultivar Olive Fruit In Orchard Environments Based On Olive-efficientdet)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics and Machine Learning are presented in a new report. Accordingto news reporting originating in Beijing, People’s Republic of China, by NewsRx journalists, research stated,“Olive (Olea europaea L.) fruit maturity detection in orchard environments plays a vital role in ensuringthe quantity and quality of olive oil. However, it is difficult for olive fruit maturity detection in orchardenviron-ments due to the minimal phenotypic difference between neighboring maturity, and the occlusionand overlap of olive fruits.”
BeijingPeople’s Republic of ChinaAsiaRobotics and Machine LearningBeijing Forestry University
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