Classification of Corn Leaf Diseases using Various Pre-trained Deep Learning Networks and Performance Comparison

Author:

Srivastava Prateek1,Singh Shailendra Pratap2,Vishnoi Ankit3,Sapra Varun3

Affiliation:

1. Graphic Era Hill University,Department of Computer Science and Engineering,Dehradun,Uttarakhand,India

2. School of Computing Science and Engineering, Galgotias University,Greater Noida,U.P.,India

3. School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Effective plant disease diagnosis using Vision Transformer trained with leafy-generative adversarial network-generated images;Expert Systems with Applications;2024-11

2. Enhanced Corn Leaf Disease Classification Using DenseNet121 and Hybrid Machine Learning Models;2024 9th International Conference on Mechatronics Engineering (ICOM);2024-08-13

3. Novel Hybrid Optimization Algorithm for Improved Search Performance in Real-World Applications;2024 International Conference on Automation and Computation (AUTOCOM);2024-03-14

4. Development of a Multi-Sensor Fusion Framework for Early Detection and Monitoring of Corn Plant Diseases;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

5. Zea Mays Multi-Disease Classification and Severity Assessment with EfficientNetV2 Variants;2023 IEEE Region 10 Symposium (TENSYMP);2023-09-06

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