A Deep Convolutional Neural Network for Leaf Disease Detection of Sugarcane
Author:
Affiliation:
1. Dr. A.P.J. Abdul Kalam Technical University,Centre for Advanced Studies,Lucknow,U.P.,India,226031
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10306338/10306339/10306751.pdf?arnumber=10306751
Reference22 articles.
1. A Novel Deep Learning Framework Approach for Sugarcane Disease Detection
2. Detection and Classification of Paddy Crop Disease using Deep Learning Techniques
3. SLViT: Shuffle-convolution-based lightweight Vision transformer for effective diagnosis of sugarcane leaf diseases;li;Journal of King Saud University-Computer and Information Sciences,2022
4. Research Paper On Sugarcane Diseaese Detection Model;kumar;Turkish Journal of Computer and Mathematics Education (TURCOMAT),2021
5. Disease Scenario and Management of Major Sugarcane Diseases in India
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