Grape Leaf Disease Identification using Machine Learning Techniques-Reference-Cited by-同舟云学术

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Grape Leaf Disease Identification using Machine Learning Techniques

Published:2019-02 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Computational Intelligence in Data Science (ICCIDS)
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Author:

Jaisakthi S.M.,Mirunalini P.,Thenmozhi D.,Vatsala

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8851230/8862005/08862084.pdf?arnumber=8862084

Cited by 75 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

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2. Spectral sensor‐based device for real‐time detection and severity estimation of groundnut bud necrosis virus in tomato;Journal of Field Robotics;2024-07-15

3. Revolutionizing agricultural productivity with automated early leaf disease detection system for smart agriculture applications using IoT platform;Environment, Development and Sustainability;2024-07-12

4. MCDCNet: Multi-scale constrained deformable convolution network for apple leaf disease detection;Computers and Electronics in Agriculture;2024-07

5. A dual-track feature fusion model utilizing Group Shuffle Residual DeformNet and swin transformer for the classification of grape leaf diseases;Scientific Reports;2024-06-24

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