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All Journal Asean Journal of Science and Engineering (AJSE)
Warathep Nuchda
King Mongkut's University of Technology Thonburi
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Engineering Materials Science & Nanotechnology

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Quality Sorting of Green Coffee Beans from Wet Processing by Using The Principle of Machine Learning Thanapat Thongnop; Tanayut Perpaman; Panchanit Kansiri; Warathep Nuchda; Supachai Peungsungwan
ASEAN Journal of Science and Engineering Vol 1, No 2 (2021): AJSE: September 2021
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.405 KB) | DOI: 10.17509/ajse.v1i2.41078

Abstract

Coffee beans are processed in a variety of ways such as beverages, foods, sweets, etc. Technology to sort coffee beans is still automated. We, therefore, proposed the concept of machine learning to be applied in coffee bean sorting. We consider the moisture content, size, colour, and characteristics of the coffee bean using image processing. Finally, we sorted the green coffee beans by the Thai coffee grading standards. There are three grades: A, X, and Y. Our machine has an accuracy of 85%. To improve the quality of our machines, the datasets used to train machines must be increased.
Co-Authors Panchanit Kansiri Supachai Peungsungwan Tanayut Perpaman Thanapat Thongnop