Classification of Chili Leaf Disease Using the Gray Level Co-occurrence Matrix (GLCM) and the Support Vector Machine (SVM) Methods-Reference-Cited by-同舟云学术

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Classification of Chili Leaf Disease Using the Gray Level Co-occurrence Matrix (GLCM) and the Support Vector Machine (SVM) Methods

Published:2021-11-03 Issue: Volume: Page:
ISSN:
Container-title:2021 Sixth International Conference on Informatics and Computing (ICIC)
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Author:

Sari Yuslena,Baskara Andreyan Rizky,Wahyuni Rika

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9632864/9632859/09632920.pdf?arnumber=9632920

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. Classification of Cauliflower Leaf Diseases was Accomplished with a High Degree of Accuracy using the CNN-SVM Approach;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

2. Optimisation of automatic optical inspection on THT-PCB based on image segmentation and GLCM;Advances in Materials and Processing Technologies;2024-01-29

3. TOWARDS IMPROVED DISEASE IDENTIFICATION WITH PRETRAINED CONVOLUTIONAL NEURAL NETWORKS AS FEATURE EXTRACTORS FOR CHILI LEAF IMAGES;Jurnal Teknologi;2024-01-15

4. Rapid Grapevine Health Diagnosis Based on Digital Imaging and Deep Learning;Plants;2024-01-03

5. Chili-Net: An Approach for Classifying Chili Leaf Diseases Using Deep Neural Networks;Lecture Notes in Networks and Systems;2024

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