TY  - JOUR
N1  - Copyright © 2022 Odedeyi, Rabbi, Poole and Darwazeh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
PB  - Frontiers Media SA
TI  - Estimation of starch content in cassava based on coefficient of reflection measurement
Y1  - 2022/09/28/
SN  - 2674-1121
UR  - https://doi.org/10.3389/frfst.2022.878023
VL  - 2
A1  - Odedeyi, Temitope
A1  - Rabbi, Ismail
A1  - Poole, Clive
A1  - Darwazeh, Izzat
JF  - Frontiers in Food Science and Technology
AV  - public
N2  - This technology report validates the application of radio frequency (RF) coefficient of reflection (?) measurement as a viable and accurate means to estimate the starch content of fresh cassava roots. A clear relationship between cassava dry matter as an indicator of starch content and the ? is experimentally verified both from the measurement of cassava flour in water at different concentrations and by direct probing of cassava root samples at a specific frequency of 30 MHz. A prototype test instrument designed with goals of portability, low cost and ease of use is also reported. The test instrument displays estimated starch content in five categories, from ?low? to ?high?, using an array of five LEDs. The performance of the test instrument is experimentally verified in the field, and a reliable correlation between cassava dry matter content and LED indication is demonstrated.
KW  - crop quality
KW  -  electrical impedance spectroscopy
KW  -  return loss
KW  -  test instrument design
KW  -  high throughput phenotyping (HTP)
KW  -  cassava (Manihot esculenta (L.) crantz)
ID  - discovery10193662
ER  -