Multi-Class Support Vector Machine for Arabica Coffee Bean Roasting Grade Classification-Reference-Cited by-同舟云学术

Multi-Class Support Vector Machine for Arabica Coffee Bean Roasting Grade Classification

Published:2022-08-24 Issue: Volume: Page:
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Container-title:2022 5th International Conference on Information and Communications Technology (ICOIACT)
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Author:

Septiarini Anindita¹,Hamdani Hamdani¹,Rifani Achmad¹,Arifin Zainal¹,Hidayat Nurul²,Ismanto Heru³

Affiliation:

1. Mulawarman University,Engineering Faculty,Dept. of Informatics,Samarinda,Indonesia

2. Universitas Jendral Soedirman,Engineering Faculty,Dept. of Informatics,Purwokerto,Indonesia

3. Universitas Musamus,Engineering Faculty,Dept. of Informatics Engineering,Merauke,Indonesia

Publisher

IEEE

Link

Reference36 articles.

3. The optimal thresholding technique for image segmentation using fuzzy otsu method;rambabu;Int J Appl Eng Res,2015

4. Classification of coffee bean degree of roast using image processing and neural network;sarino;Int J Sci Technol Res,2019

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2. Coffee Bean Roasting Levels Detection: A Systematic Review;2023 IEEE 7th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE);2023-11-29

3. Classification of Arabica Coffee Beans Based on Multi-Features Using Artificial Neural Networks;2023 1st International Conference on Advanced Engineering and Technologies (ICONNIC);2023-10-14

4. The color-texture features and machine learning approach for quality detection of coffee beans;2023 9th International Conference on Computer and Communication Engineering (ICCCE);2023-08-15