Integrating Multiscale Linear Attention and Focal Loss for Robust Pest Classification

Agricultural pests significantly impact crop yield and quality, threatening food security and causing economic losses. Therefore, the precise identification of pests is crucial for improving agricultural production. However, traditional pest classification methods struggle to capture the complex rel...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.146610-146619
Hauptverfasser:	Zhao, Shulin, Wang, Hai, Liu, Tailian, Huang, Shulai
Format:	Artikel
Sprache:	eng
Schlagworte:	Attention mechanisms Computational efficiency Computational modeling Convolutional neural networks Crops data enhancement Data models Deep learning Feature extraction focal loss Multi-scale linear attention pest classification Pest control Support vector machines
Online-Zugang:	Volltext
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