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Determining Natural Rubber Humidity Level using Rubber Color

  • Pichamon Chanthapeth

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The process of drying rubber requires constant monitoring of rubber humidity. The dry rubber at the end of the drying process must have very low humidity and not be overheated. Modern drying process uses heat chamber to remove moisture from rubber. Opening the heat chamber to check the humidity of rubber often is not considered wise in terms of energy saving. However, we can install a camera inside the heat chamber to take the photo of the rubber in order to use the color of the rubber to determine the humidity of the rubber. In this research, we successfully use machine learning classification techniques to classify the color of rubber to humidity level. We found that K-nearest neighbor performs best given the data from our experiments.

Original languageEnglish
Title of host publication2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665485104
DOIs
Publication statusPublished - 2022
Event19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022 - Bangkok, Thailand
Duration: 22 Jun 202225 Jun 2022

Publication series

Name2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022

Conference

Conference19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022
Country/TerritoryThailand
CityBangkok
Period22/06/2225/06/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • classification
  • color differentiation
  • humidity
  • machine learning
  • rubber

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