Rice Diseases Recognition Using Effective Deep Learning Models-Reference-Cited by-同舟云学术

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Rice Diseases Recognition Using Effective Deep Learning Models

Published:2020-03 Issue: Volume: Page:
ISSN:
Container-title:2020 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON)
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Author:

Mathulaprangsan Seksan,Lanthong Kitsana,Jetpipattanapong Duangpen,Sateanpattanakul Siwadol,Patarapuwadol Sujin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9085868/9090688/09090709.pdf?arnumber=9090709

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

2. ConvDepthTransEnsembleNet: An Improved Deep Learning Approach for Rice Crop Leaf Disease Classification;SN Computer Science;2024-04-15

3. Early Prediction of Rice Leaf Disease Using Deep Neural Network Models;2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence);2024-01-18

4. Automated Rice Panicle Blast Disease Severity Classification Using Hybrid CNN-LSTM Model;2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2024-01-11

5. Plant disease detection and classification techniques: a comparative study of the performances;Journal of Big Data;2024-01-02

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