A Lightweight and Explainable DenseNet-121 Framework for Grape Leaf Disease Classification | ScienceToStartup | ScienceToStartup

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References (27)

[1]

LeafSightX: an explainable attention-enhanced CNN fusion model for apple leaf disease identification

2026Md. Ehsanul Haque, Fahmid Al Farid et al.

[2]

An attention enhanced CNN ensemble for interpretable and accurate cotton leaf disease classification

2026Md. Ehsanul Haque, Md Tamim Hasan Saykat et al.

[3]

Lightweight grape leaf disease recognition method based on transformer framework

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"Optimized DenseNet-121 framework for real-time, explainable grape leaf disease classification."

Agricultural AI•Score: 6•View PDF ↗

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A Lightweight and Explainable DenseNet-121 Framework for Grape Leaf Disease Classification

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References (27)

Founder's Pitch

"Optimized DenseNet-121 framework for real-time, explainable grape leaf disease classification."

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A Lightweight and Explainable DenseNet-121 Framework for Grape Leaf Disease Classification

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References (27)

Founder's Pitch

"Optimized DenseNet-121 framework for real-time, explainable grape leaf disease classification."

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