Grading Of Agarwood Oil Quality Based On Its Chemical Compounds Using Self Organizing Map (SOM)

Haron, Mohamad Hushnie

doi:10.30534/ijeter/2020/135872020

Cited by 8 publications

(16 citation statements)

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“…The current method to grade oil qualities is commonly using sensory evaluation which refers to its physical appearance of consumer perception, color, odor and high fixative. In other words, a grading system for essential oil still no approval for oil grading standards that are consistent to be practices in the industry [4], [12]. It's quite impossible to spot with the naked eye.…”

Section: Quality Grading System Of Essential Oilsmentioning

confidence: 99%

A Ppreliminary study on the intelligent model of k-nearest neighbor for agarwood oil quality grading

Huzir

Mahabob

Amidon

et al. 2022

IJEECS

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Essential <span>oils extracted from trees has various usages like perfumes, incense, aromatherapy and traditional medicine which increase their popularity in global market. In Malaysia, the recognition system for identifying the essential oil quality still does not reach its standard since mostly graded by using human sensory evaluation. However, previous researchers discovered new modern techniques to present the quality of essential oils by analyse the chemical compounds. Agarwood essential oil had been chosen for the proposed integrated intelligent models with the implementation of k-nearest neighbor (k-NN) due to the high demand and an expensive natural raw world resource. k-NN with Euclidean distance metrics had better performance in terms of its confusion matrix, sensitivity, precision accuracy and specificity. This paper presents an overview of essential oils as well as their previous analysis technique. The review on k-NN is done to prove the technique is compatible for future research studies based on its performance.</span>

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Section: Quality Grading System Of Essential Oilsmentioning

confidence: 99%

A Ppreliminary study on the intelligent model of k-nearest neighbor for agarwood oil quality grading

Huzir

Mahabob

Amidon

et al. 2022

IJEECS

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“…In short, most agarwood can be found around the archipelago, such as Malaysia, Indonesia, Thailand, Cambodia, Vietnam, Laos, and others [11]. Usually, the agarwood that exists in the archipelago is from the species Aquilaria, which comes from the family of Thymelaeaceae [1], [4]. The process of discovering agarwood is not simple.…”

Section: Agarwood Oilmentioning

confidence: 99%

“…Offset errors can be expressed in volts or ohms, and they are independent of the concentration of the original signal being analysed. The formula of accuracy as shown in (1).…”

Section: Standard Performance Measurementioning

confidence: 99%

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The significance of artificial intelligent technique in classifying various grades of agarwood oil

Amidon

Huzir

Yusoff

et al. 2022

IJEECS

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Agarwood oil quality is often separated into two or three categories. This makes classifying agarwood oil quality using current methods difficult. Current approaches rely solely on human perception to determine the quality of agarwood, whether in raw material or oil. This technique has other undesirable implications. It can affect the human sensory system, particularly the eyes and nose. Categorization takes time, which is a considerable expense to succeed in this method. As a result, a new classification system should be devised. The chemical components in agarwood oil are used to classify it in this study. In this study, samples with preprocessing data from two to five quality levels were used. The purpose is to categorize this data based on its qualities and analyze whether this new quality group is acceptable. The K-nearest neighbours (KNN) approach was used to classify all samples and their properties for this dataset. All samples may be correctly classified by grade without any errors. This shows the chemical compound-based classification of agarwood oil can be retained. With these findings, future agarwood oil research may focus on building a new classification.

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“…The main ingredients in agarwood from different areas were sesquiterpenoids, aromatic species, and chromone compounds [4][5] [6]. Before the Agarwood tree is processed into oil, it must be extracted and went through some analyzing process to sort out the quality.…”

Section: Introductionmentioning

confidence: 99%

Agarwood Oil Quality Classification based on Aromatic Alkane using Portable FTIR Spectroscopy Technique

2020

IJETER

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This study classifies the quality of local Agarwood oil based on the absorbance intensity of aromatic alkane (pleasant odors), which is represented by the C-H bond. Agarwood is a valuable tree species because of its widely used as perfumes and in traditional and religious ceremonies. In this research article, the absorbance intensity of the C-H bond was carried out using Cary 630 FTIR spectrometer. In this research article, the quality of Agarwood oil was successfully graded based on the absorbance intensity of the C-H bond measured at 3417.68 nm wavelength.

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Grading Of Agarwood Oil Quality Based On Its Chemical Compounds Using Self Organizing Map (SOM)

Cited by 8 publications

References 0 publications

A Ppreliminary study on the intelligent model of k-nearest neighbor for agarwood oil quality grading

A Ppreliminary study on the intelligent model of k-nearest neighbor for agarwood oil quality grading

The significance of artificial intelligent technique in classifying various grades of agarwood oil

Agarwood Oil Quality Classification based on Aromatic Alkane using Portable FTIR Spectroscopy Technique

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