MaizeFormerX: a lightweight vision transformer with cross-scale attention for explainable maize leaf disease diagnosis

Abstract Early detection of maize leaf diseases is essential to prevent yield losses. Existing vision-based models face challenges in real-world environments due to data imbalance, lighting variations, and interpretability. This study presents MaizeFormerX, a lightweight Vision Transformer designed...

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Autors principals:	Md Mostafizur Rahman, Md Najmul Gony, Md Shafiq Ullah, Sd Maria Khatun Shuvra, Rezaul Haque, Md. Redwan Ahmed, S. M. Masfequier, Rahman Swapno, M. Murugappan, Muhammad E. H. Chowdhury, Gomesh Nair, V. Saravanan
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-03-01
Col·lecció:	Scientific Reports
Matèries:	maize leaf disease vision transformer cross-domain generalization explainable AI precision agriculture
Accés en línia:	https://doi.org/10.1038/s41598-026-44550-0
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