Classification of Grape Leaf Disease Using Convolutional Neural Network (CNN) with Pre-Trained Model VGG16-Reference-Cited by-同舟云学术

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Classification of Grape Leaf Disease Using Convolutional Neural Network (CNN) with Pre-Trained Model VGG16

Published:2021-10-29 Issue: Volume: Page:
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Container-title:2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
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Author:

Rayhan Yohan,Setyohadi Djoko Budiyanto

Funder

Universitas Atma Jaya Yogyakarta

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9645753/9645742/09645862.pdf?arnumber=9645862

Cited by 5 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. Effective and efficient automatic detection, prediction and prescription of potential disease in berry family;Multimedia Tools and Applications;2024-09-02

2. Classification of Tea Leaf Clone Using Custom Convolutional Neural Network Based on VGG-16;2024 7th International Conference on Informatics and Computational Sciences (ICICoS);2024-07-17

3. GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification;IEEE Access;2024

4. CLA: A self-supervised contrastive learning method for leaf disease identification with domain adaptation;Computers and Electronics in Agriculture;2023-08

5. Evaluating Critical Disease Occurrence in Grapevine Leaves using CNN: Use-Case in Eastern Europe;2023 17th International Conference on Engineering of Modern Electric Systems (EMES);2023-06-09

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