Robotics & Machine Learning Daily News2024,Issue(Dec.10) :53-54.

Research from Northwest A&F University in the Area of Agricultural Robots Published (PcMNet: An efficient lightweight apple detection algorithm in natural orchards)

Robotics & Machine Learning Daily News2024,Issue(Dec.10) :53-54.

Research from Northwest A&F University in the Area of Agricultural Robots Published (PcMNet: An efficient lightweight apple detection algorithm in natural orchards)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on agricultural robots have bee n published. According to news originating fromShaanxi, People’s Republic of Ch ina, by NewsRx editors, the research stated, “Apple detection plays acritical r ole in enabling the functionality of harvesting robots within natural orchard en vironments. Toaddress challenges related to low detection accuracy, slow infere nce speed, and high parameter count, wepresent PcMNet, a lightweight detection model based on an improved YOLOv8 network.”

Key words

Northwest A&F University/S haanxi/People’s Republic of China/Asia/Agricultural Robots/Agriculture/Algo rithms/Emerging Technologies/Machine Learning/Nano-robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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