MAF-MixNet: Few-Shot Tea Disease Detection Based on Mixed Attention and Multi-Path Feature Fusion

Tea (<i>Camellia sinensis</i> L.) disease detection in complex field conditions faces significant challenges due to the scarcity of labeled data. While current mainstream visual deep learning algorithms depend on large-scale curated datasets. To address this, we propose a novel few-shot end-to-end d...

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Bibliografiske detaljer

Principais autores:	Wenjing Zhang, Ke Tan, Han Wang, Di Hu, Haibo Pu
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-04-01
Serier:	Plants
Fag:	tea disease detection attention mechanism feature fusion few-shot object detection
Online adgang:	https://www.mdpi.com/2223-7747/14/8/1259
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