YOLOv8 forestry pest recognition based on improved re-parametric convolution

YOLOv8 forestry pest recognition based on improved re-parametric convolution

IntroductionThe ecological and economic impacts of forest pests have intensified, particularly in remote areas. Traditional pest detection methods are often inefficient and inaccurate in complex environments, posing significant challenges for effective pest management. Enhancing the efficiency and a...

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Bibliographic Details
Main Authors: Lina Zhang, Shengpeng Yu, Bo Yang, Shuai Zhao, Ziyi Huang, Zhiyin Yang, Helong Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Plant Science
Subjects:
model pruning
pest identification
YOLOv8
HGNetv2
heavy parameter lightweight convolution
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2025.1552853/full
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