| Issue |
E3S Web Conf.
Volume 187, 2020
The 13th Thai Society of Agricultural Engineering International Conference (TSAE 2020)
|
|
|---|---|---|
| Article Number | 04015 | |
| Number of page(s) | 5 | |
| Section | Postharvest and Food Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202018704015 | |
| Published online | 08 September 2020 | |
Electronic nose system for rancidity and insect monitoring of brown rice
1 Ministry of Higher Education, Science, Research and Innovation, Postharvest Technology Innovation Center, 238 Thanon Si Ayutthaya, Ratchathewi, Bangkok 10400, Thailand
2 Chiang Mai University, Faculty of Engineering, Chiang Mai 50200, Thailand
3 Chiang Mai University, Faculty of Agriculture, Chiang Mai 50200, Thailand
* Corresponding author: natawut.neamsorn@cmu.ac.th
Electronic nose system was designed and fabricated for classification of rancidity and pest damages in brown rice. The electronic nose system was included gas handling system, sensors array and data acquisition and processing system. Response signal from sensors array was recorded and processed. The results showed that the E-nose could classify normal and rancid brown rice (KDML105) and the classification model had Rv2 = 0.92 and SEP = 0.14. The model also gave satisfactory result for classification of brown rice which was damaged by insects (Tribolium castaneum) with Rv2 =0.98 and SEP = 0.06. It was possible to use electronic nose as the quality monitoring system during storage of KDML105 brown rice.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.