Abstract
This paper presents tea leaves moisture monitoring system based on RF reflectometry techniques. The system was divided into two parts which are the sensor and reflectometer parts. The large coaxial probe was used as a sensor for the system. The reflectometer part plays a role as signal generator and also data acquisition. The reflectometer-sensor system was operated with a graphical user interface at 1.529 GHz at room temperature. The system was able to measure the moisture content of tea leaves ranging 0% m.c to 50% m.c on a wet basis. In this study, up to five kinds of tea leaves bulk were tested. The mean of absolute errors in the moisture measurement for tea leaves was ±2.
Highlights
The production line of tea is mainly dependent on the moisture content, m.c to decide how long the tea leaves should be dried in every drying step (Figure 1)
The first method is suitable for high temperature tea leaves bulk measurement due to the horn antennas sensor which does not come into direct contact with the tea leaves sample; the RF circuit is safe from heat damage
The moisture measurement is based on The the principle reflectometry and are the probe was firmly contacted with the teabulk
Summary
The production line of tea is mainly dependent on the moisture content, m.c to decide how long the tea leaves should be dried in every drying step (Figure 1). Most of the study measurements [12,13,14,15] are based on the resonant technique as the measurement principle is simple, in which the properties of the sample under test are characterized from the measurements of shifting resonance frequency and quality of factor Q This method provides accurate measurements, it requires high resolution and frequency sweep instruments, as well as good environmental control measure. The first method is suitable for high temperature tea leaves bulk measurement due to the horn antennas sensor which does not come into direct contact with the tea leaves sample; the RF circuit is safe from heat damage This method provides a less precise measurement due to the sensing field being highly dispersed.
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