Abstract

Tobacco is one of the main agricultural products that can make a significant contribution to the Indonesian economy. Good types of commercial tobacco are only produced in certain areas. The tobacco quality is largely determined by cultivar, planting location, planting time, and post-harvest processing. However, the way to find out the types of tobacco is still using a grader or a person who smells a tobacco sample. This method takes a long time and tends to be subjective. In this study, a novel system has been developed to analyze the gas released by tobacco which is evaporated by the Electrical Heated Tobacco System (EHTS) and detected by a semiconductor gas sensor array. The measurement data are then processed with the Linear Discriminant Analysis (LDA) algorithm to determine the types of tobacco. The results of the experiment show that this system can detect and classify six types of tobacco with an accuracy of 93%.

Original languageEnglish
Title of host publication2022 International Seminar on Intelligent Technology and Its Applications
Subtitle of host publicationAdvanced Innovations of Electrical Systems for Humanity, ISITIA 2022 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages103-107
Number of pages5
ISBN (Electronic)9781665460811
DOIs
Publication statusPublished - 2022
Event23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022 - Virtual, Surabaya, Indonesia
Duration: 20 Jul 202221 Jul 2022

Publication series

Name2022 International Seminar on Intelligent Technology and Its Applications: Advanced Innovations of Electrical Systems for Humanity, ISITIA 2022 - Proceeding

Conference

Conference23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022
Country/TerritoryIndonesia
CityVirtual, Surabaya
Period20/07/2221/07/22

Keywords

  • EHTS
  • LDA
  • agriculture
  • gas sensor
  • tobacco

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