Aditama, Farel Ahadyatulakbar and Zulfikri, Lalu and Mardiana, Laili and Mulyaningsih, Tri and Qomariyah, Nurul and Wirawan, Rahadi (2020) Electronic nose sensor development using ANN backpropagation for Lombok Agarwood classification. Research in Agricultural Engineering, 66 (No. 3). pp. 97-103. ISSN 12129151
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Abstract
Abstract: The aim of the present study is the development of an electronic nose system prototype for the classification of Gyrinops versteegii agarwood. The prototype consists of three gas sensors, i.e., TGS822, TGS2620, and TGS2610. The data acquisition and quality classification of the nose system are controlled by the Artificial Neural Network backpropagation algorithm in the Arduino Mega2650 microcontroller module. The testing result shows that an electronic nose can distinguish the quality of Gyrinops versteegii agarwood. The good-quality agarwood has an output of [1 –1], while the poor-quality agarwood has an output of [–1 1].
| Item Type: | Article |
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| Keywords (Kata Kunci): | prototype; gas sensor; arduino; quality; Gyrinops versteegii |
| Subjects: | Q Science > QC Physics |
| Divisions: | Fakultas Matematika dan ilmu Pengetahuan Alam |
| Depositing User: | Dr. Rahadi Wirawan |
| Date Deposited: | 11 Sep 2022 23:06 |
| Last Modified: | 11 Sep 2022 23:06 |
| URI: | http://eprints.unram.ac.id/id/eprint/31645 |
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