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Tea leaves moisture prediction using one-port monopole sensor

Ling, J.A.; Then, Y.L.; You, K.Y.; Ahmed, J.; Zaidel, D.N.A.

Authors

J.A. Ling

Y.L. Then

K.Y. You

D.N.A. Zaidel



Abstract

This paper presents the application of using a coaxial monopole sensor for determining and formulating the relationship between the reflection coefficient and the moisture content of tea leaves. A coaxial monopole sensor with operating frequency ranges from 1.35GHz to 1.95GHz was used. The data collections were conducted by using the Vector Network Analyzer. Visual comparison of the results between the actual and predicted gravimetric moisture content are presented. A predictive model is being generated and tested. It is indicated that the monopole sensor has an excellent accuracy of 98.76% and 99.59% in predicting the gravimetric and volumetric moisture content in the sample, respectively. This research has shown that monopole sensor is applicable for the determination of moisture content in tea leaves as an optional sensing technique.

Citation

Ling, J., Then, Y., You, K., Ahmed, J., & Zaidel, D. (2017). Tea leaves moisture prediction using one-port monopole sensor. In 2017 IEEE Asia Pacific Microwave Conference (APMC) (654-657). https://doi.org/10.1109/APMC.2017.8251531

Presentation Conference Type Conference Paper (Published)
Conference Name 2017 IEEE Asia Pacific Microwave Conference (APMC)
Start Date Nov 13, 2017
End Date Nov 16, 2017
Acceptance Date Nov 16, 2017
Online Publication Date Jan 11, 2018
Publication Date 2017
Deposit Date Dec 28, 2021
Publisher Institute of Electrical and Electronics Engineers
Pages 654-657
Book Title 2017 IEEE Asia Pacific Microwave Conference (APMC)
DOI https://doi.org/10.1109/APMC.2017.8251531
Keywords Moisture, Monopole, Sensor, Microwave, Reflection coefficient
Public URL http://researchrepository.napier.ac.uk/Output/2823312