YOLOv9-LSBN: An Improved YOLOv9 Model for Cotton Pest and Disease

YOLOv9-LSBN: An Improved YOLOv9 Model for Cotton Pest and Disease

To achieve accurate identification of cotton aphids and diseases in natural complex environments, an enhanced YOLOv9 model named YOLOv9-LSBN (Large Selective Kernel Network with Bidirectional Feature Pyramid) is proposed. The RepLanLsk module replaces RepNCSPELAN4 in YOLOv9, dynamically adjusting re...

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Bibliographic Details
Main Authors: Ruohong He, Fengkui Zhang, Jikui Zhu, Yulong Wang, Daorina Yang, Ting Zhang, Ping Li
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Cotton aphids
cotton disease
detection
RepLanLsk
BIFPN
YOLOv9
Online Access:https://ieeexplore.ieee.org/document/11031471/
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