Maize Diseases Image Identification and Classification by Combining CNN with Bi-Directional Long Short-Term Memory Model-Reference-Cited by-同舟云学术

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Maize Diseases Image Identification and Classification by Combining CNN with Bi-Directional Long Short-Term Memory Model

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Region 10 Symposium (TENSYMP)
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Author:

Hasan Md. Jahid,Alom Md Shahin,Dina Umme Fatema,Moon Mahmudul Hasan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9230456/9230461/09230796.pdf?arnumber=9230796

Cited by 7 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. Application of Improved Lightweight Network and Choquet Fuzzy Ensemble Technology for Soybean Disease Identification;IEEE Access;2024

2. InceptionResNetV2 and KNN-Based Detection of Yellow Vein Mosaic Virus in Okra;Lecture Notes in Networks and Systems;2024

3. 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

4. Revolutionizing Maize Disease Management with Federated Learning CNNs: A Decentralized and Privacy-Sensitive Approach;2023 4th International Conference for Emerging Technology (INCET);2023-05-26

5. Fully Automatic Wheat Disease Detection System by Using Different CNN Models;Advances in Intelligent Systems and Computing;2023

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