A twin CNN-based framework for optimized rice leaf disease classification with feature fusion

A twin CNN-based framework for optimized rice leaf disease classification with feature fusion

Abstract This paper presents a novel Twin Convolutional Neural Network (CNN)-based framework for classifying rice leaf diseases. The framework integrates an optimized feature fusion algorithm using pre-trained CNN models to improve disease detection accuracy. Rice leaf images are processed to classi...

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Bibliographic Details
Main Authors: Prameetha Pai, S. Amutha, Mustafa Basthikodi, B. M. Ahamed Shafeeq, K. M. Chaitra, Ananth Prabhu Gurpur
Format: Article
Language:English
Published: SpringerOpen 2025-04-01
Series:Journal of Big Data
Subjects:
Rice leaf disease
Twin CNN
Feature fusion
Deep learning
Pre-trained CNN
Image classification
Online Access:https://doi.org/10.1186/s40537-025-01148-z
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https://doi.org/10.1186/s40537-025-01148-z

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