A ConvNeXt–LiteMamba Dual-Branch Network for Detection of Rice Blast Disease via Hyperspectral Imaging

Rice blast, caused by <i>Magnaporthe oryzae</i>, is a devastating fungal disease threatening global rice production, with annual yield losses ranging from 10% to 30% in epidemic regions. Conventional detection methods rely on visual inspection and laboratory diagnosis, which are limited by subjectiv...

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Principais autores:	Chen-Feng Long, Sheng Li, He-Jun Ao, Yang-Jun Deng, Tian Hu, Zhuo-Heng Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-02-01
coleção:	Agronomy
Assuntos:	rice blast disease hyperspectral imaging deep learning ConvNeXt LiteMamba spatial-spectral fusion
Acesso em linha:	https://www.mdpi.com/2073-4395/16/5/500
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