A Comparative Study of Deep Learning Models for Guava Leaf Disease Detection-Reference-Cited by-同舟云学术

A Comparative Study of Deep Learning Models for Guava Leaf Disease Detection

Published:2023-01-05 Issue: Volume: Page:
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Container-title:2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)
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Author:

Thangaraj Rajasekaran¹,M Mohan²,M Moulik²,A Logeshwari²,T Loganathan²,P Koushika²

Affiliation:

1. Centre for IoT and AI KPR Institute of Engineering and Technology,Department of Computer Science and Engineering,Coimbatore,India

2. KPR Institute of Engineering and Technology,Department of Computer Science and Engineering,Coimbatore,India

Publisher

IEEE

Link

Reference19 articles.

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. Integrating EfficientNet and Fine-Tuned DenseNet Models for Advanced Detection and Classification of Guava Diseases;2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS);2024-04-22

2. Comparative Analysis on Deep Learning Models for Plant Disease Detection;2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS);2024-04-22

3. Innovative Guava Leaf Spot Acuteness Assessment with YOLOv5 and Attention Model;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

4. Hybrid CNN & Random Forest Model for Effective Guava Leaf Disease Diagnosis;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

5. Mitigating the Impact of Guava Leaf Diseases Using CNNs and Federated Learning;2023 3rd Asian Conference on Innovation in Technology (ASIANCON);2023-08-25