Abstract

Meat is one of the mainly consumed foods s by human. Hence, a certain degree of standards is required for it to be safely consumed. One of those standards includes the purity of the meat. There have been some cases of adulteration of pork in beef, possible to cause harm for the consumers. Therefore, in this research, we propose an easy to use and low-cost electronic nose system that is capable to determine whether the meat is a beef or pork. The electronic system was made using Arduino microcontroller and sensor array that consisted of eight Metal-Oxide Semiconductor gas sensors. For pattern classification, Naïve Bayes classifier preceded by min-max magnitude scaling was used to classify fresh beef and pork. The experimental result showed that the proposed system could distinguish beef and pork with 75% of classification accuracy based on k-fold cross validation.

Original languageEnglish
Title of host publicationProceedings - 2017 International Seminar on Sensor, Instrumentation, Measurement and Metrology
Subtitle of host publicationInnovation for the Advancement and Competitiveness of the Nation, ISSIMM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages104-108
Number of pages5
ISBN (Electronic)9781538607459
DOIs
Publication statusPublished - 29 Nov 2017
Event2017 International Seminar on Sensor, Instrumentation, Measurement and Metrology, ISSIMM 2017 - Surabaya, Indonesia
Duration: 25 Aug 201726 Aug 2017

Publication series

NameProceedings - 2017 International Seminar on Sensor, Instrumentation, Measurement and Metrology: Innovation for the Advancement and Competitiveness of the Nation, ISSIMM 2017
Volume2017-January

Conference

Conference2017 International Seminar on Sensor, Instrumentation, Measurement and Metrology, ISSIMM 2017
Country/TerritoryIndonesia
CitySurabaya
Period25/08/1726/08/17

Keywords

  • Arduino
  • Electronic eose
  • Machine learning
  • Meat classification
  • Naïve Bayes
  • Signal processing

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