Tea leaves moisture prediction using one-port monopole sensor

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

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

• Conference Name: 2017 IEEE Asia Pacific Microwave Conference (APMC)
• Conference Location: Kuala Lumpur, Malaysia
• 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