Odedeyi, Temitope;
Issa, Ali;
Poole, Clive;
Darwazeh, Izzat;
(2024)
High-Throughput Starch Content Estimation using RF Return Loss: Theory, Analysis and Test Instrument Design.
In:
2024 IEEE International Symposium on Circuits and Systems (ISCAS).
(pp. pp. 1-5).
IEEE: Singapore, Singapore.
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Abstract
This paper explores the application of radio frequency (RF) return loss measurements to estimate starch content in cassava, from the theoretical framework to the development of a portable test instrument utilising this method. The design evolution of the portable instrument for starch content estimation, employing RF reflectometry, is described, together with the calibration of the instrument against known starch content samples in the field. This design progression, from a basic hardware platform for proof of concept to versions with wireless connectivity, user interface enhancements, rechargeable batteries, and a focus on cost reduction and mass production suitability, has the potential to benefit farmers and further advancements in food quality assessment. Uploading of measured data from this instrument to the cloud, by means of a custom smartphone app, is also described.
| Type: | Proceedings paper |
|---|---|
| Title: | High-Throughput Starch Content Estimation using RF Return Loss: Theory, Analysis and Test Instrument Design |
| Event: | 2024 IEEE International Symposium on Circuits and Systems (ISCAS) |
| Dates: | 19 May 2024 - 22 May 2024 |
| ISBN-13: | 979-8-3503-3099-1 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ISCAS58744.2024.10558402 |
| Publisher version: | http://dx.doi.org/10.1109/iscas58744.2024.10558402 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Equivalent circuit modelling, food and crop quality estimation, cassava, electrical impedance spectroscopy, return loss, food technology, food sustainability, reflectometer, IoT, PSoC |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10195655 |
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