Comparative Analysis of Transfer Learning, LeafNet, and Modified LeafNet Models for Accurate Rice Leaf Diseases Classification

Comparative Analysis of Transfer Learning, LeafNet, and Modified LeafNet Models for Accurate Rice Leaf Diseases Classification

Early detection of plant diseases is essential for effective crop disease management to prevent yield loss. In this study, we developed a methodology for classifying diseases in rice leaves using four deep learning models and a dataset with 2658 images of healthy and diseased rice leaves. Four model...

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Bibliographic Details
Main Authors: Wassem I. A. E. Altabaji, Muhammad Umair, Wooi-Haw Tan, Yee-Loo Foo, Chee-Pun Ooi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep learning
convolutional neural networks
transfer learning
image classification
Online Access:https://ieeexplore.ieee.org/document/10458944/

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