Nur Amanda, Nazli and Muhammad Sharfi, Najib and Suhaimi, Mohd Daud and Mujahid, Mohammad and Zainul, Baharum and Mohamed Yusof, Ishak (2020) Intelligent classification of cocoa bean using E-nose. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 2 (2). pp. 28-35. ISSN 2637-0883. (Published)
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Abstract
Cocoa bean (Theobrama cacao) is an essential raw material in the manufacture of chocolate, and their classification is crucial for the synthesis of good chocolate flavour. Cocoa beans appear to be very similar to one another when visualised. Hence, an electronic device named the electronic nose (E-Nose) is used to classify the odor of cocoa beans to give the best cocoa bean quality. E-nose is a set of an array of chemical sensors used to sense the gas vapours produced by the cocoa bean and the raw data collected was kept in Microsoft Excel, and the classification took place in Octave. They then underwent normalisation technique to increase classification accuracy, and their features were extracted using mean calculation. The features were classified using CBR, and the similarity value is obtained. The results show that CBR's classification accuracy, specificity and sensitivity are all 100%.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Cocoa bean; Chocolate; E-nose; CBR |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology Faculty of Manufacturing and Mechatronic Engineering Technology |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 06 Apr 2022 04:57 |
| Last Modified: | 06 Apr 2022 04:57 |
| URI: | http://umpir.ump.edu.my/id/eprint/33633 |
| Download Statistic: | View Download Statistics |
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