Sugar Learning: Deep Learning for Rapid Detection and Classification of Sugarcane Diseases
Author:
Affiliation:
1. Chandigarh Group of Colleges,Department of Computer Applications,Landran
2. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India
3. Graphic Era Hill University,Computer Science and Engineering,Dehradun
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10234727/10234833/10235071.pdf?arnumber=10235071
Reference14 articles.
1. A DL model for early prediction of pneumonia using VGG19 and neural networks;sharma;Mobile Radio Communications and 5G Networks,2023
2. Deep learning for identification of water deficits in sugarcane based on thermal images
3. A Deep Learning based model for the Detection of Pneumonia from Chest X-Ray Images using VGG-16 and Neural Networks
4. Classification of Sugarcane Leaf Disease using DL Algorithms;hernandez;Control and System Graduate Research Colloquium,2022
5. Efficient detection of sugarcane diseases through intelligent approaches: a review;manavalan;Asian J Res Rev Agric,2021
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