首页|Findings from China Agricultural University Provides New Data about Robotics and Machine Learning (A Detection Method for Occluded and Overlapped Apples Under C lose-range Targets)
Findings from China Agricultural University Provides New Data about Robotics and Machine Learning (A Detection Method for Occluded and Overlapped Apples Under C lose-range Targets)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Robotics and Machine Lea rning have been published. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Accurate and rapi d identification and location of apples contributes to speeding up automation ha rvesting. However, in unstructured orchard environments, it is common for apples to be overlapped and occluded by branches and leaves, which interferes with app le identification and localization.”
BeijingPeople’s Republic of ChinaAsi aRobotics and Machine LearningAlgorithmsChina Agricultural University