Preliminary Study on Classification of Cymbopogon Nardus Essential Oil using Support Vector Machine (SVM)

Mahabob, Noratikah Zawani; Yusoff, Zakiah Mohd; Ismail, Nurlaila; Taib, Mohd Nasir

doi:10.1109/icsgrc49013.2020.9232661

Cited by 1 publication

(2 citation statements)

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“…There is no guarantee that grading essential oils by human sensory evaluation would ensure its purity or quality. Due to the continuous process when dealing with a large number of samples at once, the human trained grader technique has a significant disadvantage in terms of objectivity and consistency, leading to a labor-intensive and time-consuming procedure [12], [15]- [17]. Numerous approaches have been proposed and used to verify the quality of essential oils using intelligent methods [13]- [15], [18]- [20].…”

Section: Introductionmentioning

confidence: 99%

“…Due to the continuous process when dealing with a large number of samples at once, the human trained grader technique has a significant disadvantage in terms of objectivity and consistency, leading to a labor-intensive and time-consuming procedure [12], [15]- [17]. Numerous approaches have been proposed and used to verify the quality of essential oils using intelligent methods [13]- [15], [18]- [20]. There is a platform where Agarwood oil quality classification can be done solely based on their chemical subtances allowing essential oils to be classified into their respective classes (low, medium low, medium high, and high quality) by using today's data analysis technology.…”

Section: Introductionmentioning

confidence: 99%

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Pre-processing technique of Aquilaria species from Malaysia for four different qualities

Mohd Huzir,

Hasnu Al-Hadi,

Zaidi

et al. 2024

Bulletin EEI

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The paper interprets data distribution by using boxplot pre-processing in classify the quality of Agarwood oil for eleven chemical substances into four different qualities. The varieties usage of Agarwood oil makes it considered as an expensive and valuable product on the essential oil market. Perfumes, fragrances, incense, aromatherapy, and traditional medicine are the most popular Agarwood oil applications. However, the classification of Agarwood oil grades does not yet have standard grading method. This because it has been graded manually into different qualities by using human sensory evaluation. Boxplot analysis involving eleven chemical subtances that will be focusing in this study by concerned the quality for low, medium low, medium high and high. ɤ-eudesmol, ar-curcumene, β-dihydro agarofuran, ϒ-cadinene, α-agarofuran, allo aromadendrene epoxide, valerianol, α-guaiene, 10-epi-ɤ-eudesmol, β-agarofuran, and dihydrocollumellarin compounds are the selected significant compounds that represent the input for boxplot. Agarwood oil consist 660 data samples from low, medium low, medium high, and high quality. The result in this study showed that the four selected significant compounds (ɤ-eudesmol, 10-epi-ɤ-eudesmol, β-agarofuran, and dihydrocollumellarin) are important as a marker for Agarwood oil quality classification. The identification of chemical substances on high quality done as reference for future research studies.

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