Interpretable Deep Learning Model for Grape Leaf Disease Classification Based on EfficientNet with Grad-CAM Visualization

Interpretable Deep Learning Model for Grape Leaf Disease Classification Based on EfficientNet with Grad-CAM Visualization

Grape leaf diseases pose a significant threat to agricultural productivity, especially in regions with fluctuating climatic conditions that create favorable environments for pathogen growth. Early and accurate disease detection is essential for preventing severe crop losses. Traditional manual inspe...

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Bibliographic Details
Main Authors: Castaka Agus Sugianto, Dini Rohmayani, Jhoanne Fredricka, Mohamed Doheir
Format: Article
Language:English
Published: Pusat Penelitian dan Pengabdian Masyarakat (P3M), Politeknik Negeri Cilacap 2025-06-01
Series:Journal of Innovation Information Technology and Application
Subjects:
deep learning
greap leaf disease
calssification
efficientnet
grad-cam
Online Access:https://ejournal.pnc.ac.id/index.php/jinita/article/view/2745
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