Fruit Classification System Using Multiclass Support Vector Machine Classifier-Reference-Cited by-同舟云学术

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Fruit Classification System Using Multiclass Support Vector Machine Classifier

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:2020 International Conference on Electronics and Sustainable Communication Systems (ICESC)
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Author:

Zeeshan Mohammed,Prabhu Akshatha,C Arun,Rani N. Shobha

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9145513/9155547/09155817.pdf?arnumber=9155817

Cited by 15 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. Improving Citrus Fruit Classification with X-ray Images Using Features Enhanced Vision Transformer Architecture;Food Analytical Methods;2024-09-05

2. Grape detection in natural environment based on improved YOLOv8 network;Journal of Agricultural Engineering;2024-08-20

3. Grading of Carica Papaya Using Image Processing and Support Vector Machine on Raspberry PI;2024 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS);2024-06-29

4. Comparative Analysis of Classical Machine Learning and Deep Learning Methods for Fruit Image Recognition and Classification;Traitement du Signal;2024-06-26

5. Advancements in machine visions for fruit sorting and grading: A bibliometric analysis, systematic review, and future research directions;Journal of Agriculture and Food Research;2024-06

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