Preliminary study on agarwood essential oil and its classification techniques using machine learning

QR Code

Preliminary study on agarwood essential oil and its classification techniques using machine learning

Using essential oils derived from trees for pharmaceutical purposes, incense, aromatherapy, and other areas has expanded its popularity on the international market. However, since human sensory evaluation is still the primary technique used to grade essential oils in Malaysia, the classification tec...

Full description

Bibliographic Details
Main Authors:	Anis Hazirah Izzati Hasnu, Al-Hadi, Aqib Fawwaz, Mohd Amidon, Siti Mariatul Hazwa, Mohd Huzir, Nurlaila, Ismail, Zakiah, Mohd Yusoff, Saiful Nizam, Tajuddin, Mohd Nasir, Taib
Format:	Article
Language:	English
Published:	Institute of Advanced Engineering and Science 2023
Subjects:	HD28 Management. Industrial Management Q Science (General) T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/38109/ http://umpir.ump.edu.my/id/eprint/38109/1/Preliminary%20study%20on%20agarwood%20essential%20oil.pdf

Similar Items

Boxplot analysis of 4 grade agarwood essential oil for various grades
by: Anis Hazirah ‘Izzati H., Al-Hadi, et al.
Published: (2023)

Stepwise regression of agarwood oil significant chemical compounds into four quality differentiation
by: Siti Mariatul Hazwa, Mohd Huzir, et al.
Published: (2023)

A study on ann performance towards three significant compounds of high quality agarwood oil
by: Noratikah Zawani, Mahabob, et al.
Published: (2022)

The capabilities of Multiclass Support Vector Machine (MSVM) training algorithms in grading agarwood essential oil
by: Anis Hazirah ‘Izzati H., Al-Hadi, et al.
Published: (2024)

The k-nearest neighbor modelling by varying Mahalanobis and correlation in distance metric for agarwood oil quality classification
by: Noor Syafina, Mahamad Jainalabidin, et al.
Published: (2022)

Statistical analysis of high grade samples from four grades Aquilaria Malaccensis oil
by: Anis Hazirah ‘Izzati H., Al-Hadi, et al.
Published: (2022)

Statistical analysis of agarwood oil chemical compound exists in four species of aquilaria
by: Amir Hussairi, Zaidi, et al.

Agarwood oil quality identification using artificial neural network modelling for five grades
by: Siti Mariatul Hazwa, Mohd Huzir, et al.
Published: (2024)

Agarwood oil grade clustering of aquilaria malaccensis species using Extraction by GC-MS analysis: Efficient KNN algorithm based on patterns visualization of two-dimensional graph
by: Siti Mariatul Hazwa, Mohd Huzir, et al.
Published: (2024)

Agarwood essential oil revolution
by: Saiful Nizam, Tajuddin
Published: (2014)

Application of ANN in Agarwood Oil Grade Classification
by: Saiful Nizam, Tajuddin, et al.
Published: (2014)

Gas Chromatographic Analysis of Complex Sesquiterpenes in Malaysian Agarwood Essential Oil
by: M. M., Yusoff, et al.
Published: (2015)

Classification of the Quality of Agarwood Oils from Malaysia using Z-Score Technique
by: Nurlaila, Ismail, et al.
Published: (2013)

Chemical composition of Agarwood Essential Oil (Aquilaria malaccensis) upon exposure towards heat condition
by: Hezelin Elayana, Shaian, et al.
Published: (2021)

Determination of substantial chemical compounds of agarwood oil for quality grading
by: Mohamad Hushnie, Haron, et al.
Published: (2020)

k-nearest neighbor modelling of agarwood oil samples available in capital of Malaysia market
by: Erny Haslina, Abd Latib, et al.
Published: (2022)

Determination of agarwood oil’s significant chemical compounds using principal component analysis
by: Mohamad Hushnie, Haron, et al.
Published: (2020)

Differentiating Agarwood Oil Quality Using Artificial Neural Network
by: Saiful Nizam, Tajuddin, et al.
Published: (2013)

A Review Study of Agarwood Oil and Its Quality Analysis
by: Nurlaila, Ismail, et al.
Published: (2014)

Development of web application for agarwood oil quality discriminator in virtualization platform
by: Mohamad Aqib Haqmi, Abas, et al.
Published: (2017)

King of Scents - Agarwood
by: Saiful Nizam, Tajuddin, et al.
Published: (2019)

Direct Thermal Desorption (DTD) Extraction for Different Qualities of Agarwood Incense Analysis
by: Nurlaila, Ismail, et al.
Published: (2016)

Identification of Significant Compounds of Agarwood Incense Smoke Different Qualities using Z-Score
by: Nurlaila, Ismail, et al.
Published: (2015)

Analysis of Aroma Profile of Agarwood Incense Smoke by SPME and GCFID Combined with GC-MS
by: Nurlaila, Ismail, et al.
Published: (2015)

Precise classification of five grades aquilaria malaccensis essential oil: Multiclass support vector machine utilizing pattern graphical representation on a two-dimensional graph
by: Anis Hazirah ‘Izzati H., Al-Hadi, et al.
Published: (2024)

Grading of agarwood oil quality based on its chemical compounds using self organizing map (SOM)
by: Mohamad Hushnie, Haron, et al.
Published: (2020)

Analysis of agarwood smoke chemical compounds using solvent trap, GC-FID and GC-M
by: Nurlaila, Ismail, et al.
Published: (2017)

Statistical Analysis of Agarwood Oil Compounds In Discriminating the Quality of Agarwood Oil
by: N. S. A., Zubir, et al.
Published: (2017)

Observation on SPME different headspace fiber coupled with GC-MS in extracting high quality agarwood chipwood
by: Nurlaila, Ismail, et al.
Published: (2016)

Analysis on agarwood vapour using headspace volatile DVB-CAR-PDMS SPME with different sampling time
by: Nurlaila, Ismail, et al.
Published: (2017)

Quadratic tuned kernel parameter in non-linear support vector machine (SVM) for agarwood oil compounds quality classification
by: Muhamad Addin Akmal, Mohd Raif, et al.
Published: (2019)

Major Volatile Chemical Compounds of Agarwood Oils From Malaysia Based On Z-Score Technique
by: Nurlaila, Ismail, et al.
Published: (2015)

Analysis of gc-fid and gc-ms microwave-assisted hydrodistillation extraction (mahd) of agarwood chips
by: Norfatirah, Muhamad Sarih, et al.
Published: (2021)

Comparison of agarwood essential oil & water soluble (hydrosol)
by: Fairul Idzwan, Mohd
Published: (2008)

Analysis Of High Quality Agarwood Oil Chemical Compounds By Means Of Spme/Gc-Ms And Z-Score Technique
by: Saiful Nizam, Tajuddin, et al.
Published: (2013)

SVM modelling of agarwood oil quality grading using radial basis function (RBF) and sequential minimal optimization (SMO) learning algorithms
by: Muhammad Haziq Haikal, Hisham, et al.
Published: (2020)

Analysis of algorithms variation in multilayer perceptron neural network for agarwood oil qualities classification
by: Nurul Shakila, Ahmad Zubir, et al.
Published: (2017)

Analysis of Chemical Compounds of Agarwood Oil based on Headspace-Solid Phase Microextraction combined with Gas Chromatography Mass-Spectrometry
by: Nurlaila, Ismail, et al.
Published: (2013)

Agarwood Market Report
by: Puteri Fadzline, Tamyez, et al.
Published: (2018)

Gas chromatography mass spectrometry couple with quadrupole time-of-ﬂight (GC-QTOF MS) as a powerful tool for proﬁling of oxygenated sesquiterpenes in agarwood oil
by: Erny Haslina, Abd Latib, et al.
Published: (2023)