Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

REDNet: An Explainable Deep Learning Framework for Mango Leaf Disease Classification

Arjina Akter Md. Emran Biswas Mst. Tanbin Yasmin Tanny Md. Delowar Hossain M. Hossen Md. Motaharul Islam Tangina Sultana
Sep 2026 · Applied Fruit Science · Vol 68 · 0 citations · 37 references

TL;DR

The REDNet was the best among the tested models, with a classification accuracy of 99.668%, and the results confirmed its high discriminative ability and class-wise accuracy.

DOI Semantic Scholar
View source

Similar papers

Sep 2026

Cbam-augmented ResNet for high-accuracy grape leaf disease detection

A deep learning model designed to automatically detect grape leaf diseases based on images, using a pretrained ResNet50 which is trained on ImageNet as feature extractor and a Convolutional Block Attention Module to boost its discriminative capacity is introduced.

Maajid Bashir, A. Reshi, Shabana Shafi et al. · 0 citations
Open access Sep 2026

Deep Learning-based Bean Leaf Disease Classification: A Comparison of ResNet50 and VGG19

This work demonstrates ResNet50’s performance for bean leaf disease classification tasks, providing important insights for future research and practical applications in agricultural disease control.

Yu-Yan Xu, H. Chen, Qing-Mei Lin · 0 citations
Open access Aug 2026

AFS-PLDCNet: An Advanced Computational Tool for the Classification of Apple Leaf Diseases

The experimental results demonstrate that AFS-PLDCNet achieved superior classification accuracy compared to existing single-backbone CNNs and is well-suited for real-time, field-level leaf disease classification and precision agriculture systems.

Neha Sawant, K. L. Bansal · 0 citations
Open access Aug 2026

A DenseNet121-based Deep Learning Approach for Multi-class Classification of Cowpea Leaf Diseases

The results support the model’s potential for integration into smart agricultural systems for early disease detection in cowpea cultivation and support the model’s potential for integration into smart agricultural systems for early disease detection.

Seng-phil Hong · 0 citations
Open access Aug 2026

A Novel Lightweight AlexNet Convolutional Neural Network for Tomato Leaf Disease Classification

This work presents a convolutional neural network based on AlexNet that is lightweight and field-aware, able to perform inference faster without sacrificing accuracy, making it suitable for real-time implementation in low resource agricultural environments.

Debabrat Bharal, Kanak Ch Bora, Sailen Dutta Kalita · 0 citations
Open access Aug 2026

Deep Learning-Based Potato Leaf Disease Detection Using Transfer Learning and Explainable AI Techniques

This study improves potato leaf disease detection using a fine-tuned InceptionV3 with data augmentation and dropout, while Grad-CAM visualizations enhance model interpretability, reliability, and practical utility for accurate agricultural disease diagnosis.

Aradhy Tiwari, Amit Saxena, Chandrashekhar Chandrashekhar · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.