Analysis of Different CNN Architectures for Tomato Leaf Disease Classification-Reference-Cited by-同舟云学术

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Analysis of Different CNN Architectures for Tomato Leaf Disease Classification

Published:2020-12-01 Issue: Volume: Page:
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Container-title:2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)
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Author:

Gehlot Mamta,Saini Madan Lal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9358271/9358272/09358279.pdf?arnumber=9358279

Cited by 19 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. Tomato Leaf Disease Detection using Convolutional Neural Networks;International Journal of Advanced Research in Science, Communication and Technology;2024-05-27

2. A small neural network deployed on edge devices for detecting citrus Huanglongbing.;2024-03-13

3. A Bibliometric Analysis of Artificial Intelligence Technology for Sustainable Agriculture;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

4. CNN and Random Forest-Based Tomato Disease Urgency Prediction: A Vital Tool for Agriculture;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24

5. Development of a Mobile Application for Plant Disease Detection using Parameter Optimization Method in Convolutional Neural Networks Algorithm;EMITTER International Journal of Engineering Technology;2023-12-21

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