Author

M. Billah

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#explainable ai Open access Sep 2026

LXViT: a hybrid hierarchical CNN-ViT framework for lemon leaf disease classification with multi-method explainable AI integration

Lemon leaf diseases threaten agricultural productivity, yet early detection remains difficult due to subtle lesion patterns and environmental variability. Conventional deep learning models often fail to balance local feature extraction with global context. To address this, we introduce LXViT, a hybrid hierarchical...

Saifuddin Sagor, Faruk Ahmed, Md. Anisur Rahman et al. · Scientific Reports · 0 citations

Open access Jul 2026

Explainable hybrid multi-branch CNN–ViT–GNN framework for robust hibiscus leaf disease classification

Early and reliable diagnosis of hibiscus leaf diseases is critical to protect horticultural yield. Yet, it remains challenging under real-time field conditions where uncontrolled lighting, clutter, and the non-contiguous nature of pathological symptoms blur diagnostic cues. To address these challenges, we introduce CNN...

M. Billah, Saifuddin Sagor, Shahariar Hossain et al. · Scientific Reports · 0 citations