Rice diseases detection using Convolutional Neural Networks: A Survey-Reference-Cited by-同舟云学术

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Rice diseases detection using Convolutional Neural Networks: A Survey

Published:2021-03-04 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Sharma Rishabh,Kukreja Vinay,kadyan Virender

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9404366/9404367/09404620.pdf?arnumber=9404620

Cited by 55 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. Rice Sheath Rot Disease Diagnosis Utilizing Deep Learning: A Wavelet-Filtered Method for Feature Extraction and Analysis;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

2. Emerging Trends in Artificial Intelligence of Things With Machine Learning and Semantic Web Convergence;Advances in Web Technologies and Engineering;2024-05-16

3. Deep Learning-Based Diagnosis of Rice Sheath Rot Disease: A Wavelet-Filtered Approach for Feature Extraction and Analysis;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

4. An Efficient Deep Learning-based VGG19 Approach for Rice Leaf Disease Classification;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

5. Cognitive Farming in Agriculture: Deploying CNN-RF for Maize Disease Precision Diagnostics;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15

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