Comparative analysis of attentional mechanisms in rice pest identification

Comparative analysis of attentional mechanisms in rice pest identification

Abstract Accurate detection of rice pests helps farmers take timely control measures. This study compares different attention mechanisms for rice pest detection in complex backgrounds and demonstrates that a human vision-inspired Bionic Attention (BA) mechanism outperforms most traditional attention...

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Bibliographic Details
Main Authors: Yongjun Xiao, Xiangruo Zhang, Ziao Chen, Jingxuan Tan, Linyu Zhou, Chunxian Jiang, Lijia Xu, Zhiyong Li
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Deep learning
Rice pest
Attention mechanism
Human vision
Multi-branch detection model
Online Access:https://doi.org/10.1038/s41598-025-08869-4
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