Bulletin of Electrical Engineering and Informatics
Vol 13, No 1: February 2024

Pattern analysis on Aquilaria Malaccensis using machine learning

Hasnu Al-Hadi, Anis Hazirah 'Izzati (Unknown)
Mohd Huzir, Siti Mariatul Hazwa (Unknown)
Zaidi, Amir Hussairi (Unknown)
Ismail, Nurlaila (Unknown)
Mohd Yusoff, Zakiah (Unknown)
Haron, Mohamad Hushnie (Unknown)
Taib, Mohd Nasir (Unknown)



Article Info

Publish Date
01 Feb 2024

Abstract

Aquilaria Malaccensis was found to generate agarwood. Because of its multiple benefits, agarwood essential oil, sometimes known as “black gold” is highly regarded universally. There is currently no accepted method for classifying various grades of agarwood essential oil. Due to the fact that the agarwood essential oil is assessed using a human sensory panel, the existing grading method is ineffective. Since different people may have different viewpoints on how to grade agarwood essential oil, it is not practical to apply the method universally. Several innovative methods for determining the classification of agarwood essential oil have been proposed and put into practise as a result of advanced technology. The study has constructed a pattern analysis on different grades of agarwood essential oil using 2D scatter plot. The results successfully indicate the scatter plots are scattered groupedly.

Copyrights © 2024






Journal Info

Abbrev

EEI

Publisher

Subject

Electrical & Electronics Engineering

Description

Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the ...