AHG-YOLO: multi-category detection for occluded pear fruits in complex orchard scenes

AHG-YOLO: multi-category detection for occluded pear fruits in complex orchard scenes

IntroductionTo achieve fast detection of pear fruits in natural pear orchards and optimize path planning for harvesting robots, this study proposes the AHG-YOLO model for multi-category detection of pear fruit occlusion in complex orchard environments.MethodsUsing the Red Delicious pear as the resea...

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Bibliographic Details
Main Authors: Na Ma, Yile Sun, Chenfei Li, Zonglin Liu, Haiyan Song
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Plant Science
Subjects:
YOLOv11
pear fruits
object detection
ADown
group convolution
GIoU
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2025.1580325/full
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