Lightweight Structure and Attention Fusion for In-Field Crop Pest and Disease Detection

In agricultural production, plant diseases and pests are among the major threats to crop yield and quality. Existing agricultural pest and disease identification methods have problems such as small target scales, complex background environments, and unbalanced sample distributions. This paper propos...

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Bibliografski detalji

Glavni autori:	Zijing Luo, Yunsen Liang, Naimin Kong, Lirui Liang, Wenjun Peng, Yujie Yao, Chi Qin, Xiaohan Lu, Mingman Xu, Yining Zhang, Chenyang Lin, Chengyao Jiang, Mengyao Li, Yangxia Zheng, Yameng Jiang, Wei Lu
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-12-01
Serija:	Agronomy
Teme:	agricultural pest and disease detection lightweight model YOLOv5 attention mechanism target detection mobile deployment
Online pristup:	https://www.mdpi.com/2073-4395/15/12/2879
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