Robotics & Machine Learning Daily News2024,Issue(MAY.15) :74-75.

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)

Robotics & Machine Learning Daily News2024,Issue(MAY.15) :74-75.

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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Abstract

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.”

Key words

Beijing/People’s Republic of China/Asi a/Robotics and Machine Learning/Algorithms/China Agricultural University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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