DefinePK hosts the largest index of Pakistani journals, research articles, news headlines, and videos. It also offers chapter-level book search.
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
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2016
Volume: 11
Issue: 10
Language: English
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.
Loading PDF...
Loading Statistics...