Enhanced Pest Recognition Using Multi-Task Deep Learning with the Discriminative Attention Multi-Network

Enhanced Pest Recognition Using Multi-Task Deep Learning with the Discriminative Attention Multi-Network

Accurate recognition of agricultural pests is crucial for effective pest management and reducing pesticide usage. In recent research, deep learning models based on residual networks have achieved outstanding performance in pest recognition. However, challenges arise from complex backgrounds and appe...

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Bibliografiske detaljer
Main Authors: Zhaojie Dong, Xinyu Wei, Yonglin Wu, Jiaming Guo, Zhixiong Zeng
Format: Article
Sprog:English
Udgivet: MDPI AG 2024-06-01
Serier:Applied Sciences
Fag:
deep learning
pest recognition
multi-task learning
Online adgang:https://www.mdpi.com/2076-3417/14/13/5543

Internet

https://www.mdpi.com/2076-3417/14/13/5543

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