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Author

Saifuddin Sagor

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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. · 0 citations
Open access Jul 2026

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

This study establishes a computationally efficient, transparent, and robust pathway for automated disease diagnosis in precision agriculture by introducing CNN-FusionViT-GNN, a explainable hybrid multi-branch framework that synergizes the fine-grained texture extraction of a DenseNet201 backbone, the global contextual...

M. Billah, Saifuddin Sagor, Shahariar Hossain et al. · 1 citation

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