Detecting diseases in Chilli Plants Using K-Means Segmented Support Vector Machine-Reference-Cited by-同舟云学术

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Detecting diseases in Chilli Plants Using K-Means Segmented Support Vector Machine

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:2019 3rd International Conference on Imaging, Signal Processing and Communication (ICISPC)
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Author:

Bin Abdul Wahab Abdul Hafiz,Zahari Rahimi,Lim Tiong Hoo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8931129/8935643/08935722.pdf?arnumber=8935722

Cited by 27 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. RNDDNet: A residual nested dilated DenseNet based deep-learning model for chilli plant disease classification;Engineering Research Express;2024-07-11

2. Scientometric Analysis of Tomato Leaf Disease Classification using Artificial Intelligence;2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN);2024-05-03

3. Leaf Disease Classification of Various Crops Using Deep Learning Based DBESeriesNet Model;SN Computer Science;2024-04-06

4. Beyond 2D: 3D Point Cloud Analysis with Color Extraction and Precise Percentage Calculation of Anthracnose in Chillies;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

5. Empirical Analysis of Squeeze and Excitation-Based Densely Connected CNN for Chili Leaf Disease Identification;IEEE Transactions on Artificial Intelligence;2024-04

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