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Classification of honey Odor-Profile using Case-Based Reasoning technique (CBR)


Article Information

Title: Classification of honey Odor-Profile using Case-Based Reasoning technique (CBR)

Authors: Nurdiyana Zahed, Muhammad Sharfi Najib, Nik Fatin Nadiah Nik Mohd Azhani

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 10

Language: English

Categories

Abstract

Honey is one a well-known healthy natural products. By image visualization, honeys look quite similar between each other. Hence an electronic device is one of significant instrument that can be employed for detection namely an E-Nose. E-Nose comprises of an array of electronic chemical sensors that capable of recognizing odor profiles. This device is integrated by microcontroller, software and hardware design. The datasets that had been collected in this work were normalized and analyzed using boxplot for feature extraction. The unique features found from the feature extraction were used in Case-Based Reasoning (CBR) as attributes. The result shows that the classification rate of CBR is 100% in accuracy, specificity and sensitivity. These results conclude that different types of honey were able to be classified based on odor profile employed with CBR.


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