Efficient and accurate identification of maize rust disease using deep learning model

Efficient and accurate identification of maize rust disease using deep learning model

Common corn rust and southern corn rust, two typical maize diseases during growth stages, require accurate differentiation to understand their occurrence patterns and pathogenic risks. To address this, a specialized Maize-Rust model integrating a SimAM module in the YOLOv8s backbone and a BiFPN for...

Full description

Saved in:
Bibliographic Details
Main Authors: Pei Wang, Jiajia Tan, Yuheng Yang, Tong Zhang, Pengxin Wu, Xinglong Tang, Hui Li, Xiongkui He, Xinping Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Plant Science
Subjects:
maize
southern rust
common rust
SimAM
small target detection
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1490026/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items