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InECCE2019 pp 231-243 | Cite as

Classification of Agarwood Types (Malaccensis and Crassna) Between Oil and Smoke Using E-Nose with CBR Classifier

  • Mujahid Mohamad
  • Muhammad Sharfi NajibEmail author
  • Suhaimi Mohd Daud
  • Nurdiyana Zahed
  • Muhamad Faruqi Zahari
  • Nur Farina Hamidon Majid
  • Suziyanti Zaib
  • Hadi Manap
Conference paper
  • 29 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 632)

Abstract

The issue of quality of agarwood quality among sellers and buyers is still ongoing due to manual olfactory methods. This study purpose classification of Malaccensis and Crassna agarwood in oil and smoke by electronic nose using Case-based Reasoning classifier. The CBR performance measurement shows that classification of agarwood Malaccensis and Crassna for both oil and smoke using CBR technique can achieve 100% classification success.

Keywords

E-nose CBR Agarwood Malaccensis Crassna Intelligent classification 

Notes

Acknowledgements

This research and development are supported by Bio-Aromatic Research Centre of Excellent (BARCE) University Malaysia Pahang (UMP) and Malaysia Technical University (MTUN) RDU192803 grant.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Mujahid Mohamad
    • 1
  • Muhammad Sharfi Najib
    • 1
    Email author
  • Suhaimi Mohd Daud
    • 1
  • Nurdiyana Zahed
    • 1
  • Muhamad Faruqi Zahari
    • 1
  • Nur Farina Hamidon Majid
    • 1
  • Suziyanti Zaib
    • 1
  • Hadi Manap
    • 1
  1. 1.Faculty of Electrical and Electronics EngineeringUniversiti Malaysia PahangPahangMalaysia

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