VCNet: Optimized Deep Learning framework with deep feature extraction and genetic algorithm for multiclass rice crop disease detection

VCNet: Optimized Deep Learning framework with deep feature extraction and genetic algorithm for multiclass rice crop disease detection

Convolution Neural Networks (CNN) are best in their ability to detect rice diseases but still face challenges in generalizing equally well for all classes of disease in multiclass classification. Detecting rice crop disease like sheath rot is still challenging due to unavailability of dataset and in...

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Bibliographic Details
Main Authors: Sanam Salman Kazi, Bhakti Palkar, Dhirendra Mishra
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:MethodsX
Subjects:
Deep learning
Rice disease detection
Optimization
Multiclass Classification
Transfer learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2215016125003954
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