Deep Learning-Based Hybrid Model For Severity Prediction of Leaf Smut Rice Infection-Reference-Cited by-同舟云学术

Deep Learning-Based Hybrid Model For Severity Prediction of Leaf Smut Rice Infection

Published:2023-03-01 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Emerging Smart Computing and Informatics (ESCI)
language:
Short-container-title:

Author:

Tanwar Vishesh¹,Lamba Shweta¹,Sharma Bhanu¹

Affiliation:

1. Chitkara University Institute of Engineering & Technology, Chitkara University,Punjab,India

Publisher

IEEE

Link

Reference20 articles.

Cited by 23 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. Feature Group Extraction for Rice Disease Prediction using VGG-16 Model;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

2. Synergizing CNN-SVM Models for Unified Recognition of Ladyfinger Leaf Diseases;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

3. Hybrid CNN & Random Forest Model for Effective Mint Green Leaf Disease Diagnosis;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

4. A Standardized Method for Identifying and Categorizing Ladyfinger Diseases;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

5. A Unified Approach to Tomato Leaf Disease Recognition: CNN and Random Forest Integration;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05