Classification and Identification of Tomato Leaf Disease Using Deep Neural Network-Reference-Cited by-同舟云学术

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Classification and Identification of Tomato Leaf Disease Using Deep Neural Network

Published:2020-02 Issue: Volume: Page:
ISSN:
Container-title:2020 International Conference on Engineering and Emerging Technologies (ICEET)
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Author:

Batool Ayesha,Hyder Syeda Basmah,Rahim Aymen,Waheed Namra,Asghar Muhammad Adeel,Fawad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9043308/9048188/09048207.pdf?arnumber=9048207

Cited by 37 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. Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification;Scientific Reports;2024-09-14

2. Revolutionizing Plant Health: Leveraging EfficientNet B3 for Advanced Tomato Disease Detection in Agricultural AI;2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA);2024-07-06

3. Detecting fungi-affected multi-crop disease on heterogeneous region dataset using modified ResNeXt approach;Environmental Monitoring and Assessment;2024-06-11

4. A Transfer Learning-Based Framework: MobileNet-SVM for Efficient Tomato Leaf Disease Classification;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02

5. Recognize and classify illnesses on tomato leaves using EfficientNet's transfer learning approach with different size dataset;Signal, Image and Video Processing;2024-04-26

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