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      A Novel, Portable and Fast Moisture Content Measuring Method for Grains Based on an Ultra-Wideband (UWB) Radar Module and the Mode Matching Method

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          Abstract

          To perform fast and portable grain moisture measurements under field conditions, a novel moisture sensor was designed, which consisted of a coaxial waveguide, a circular waveguide, and an isolation layer. The electromagnetic characteristics of the sensor were simulated and measured. The analytical model, which represented the relationship between the reflection coefficient of the sensor and the complex permittivity of grain, was established by using the mode matching method. The reflection coefficient of the sensor was measured by using an ultra-wideband (UWB) radar module, and the moisture content of grains was calculated from the complex permittivity by using density-independent model. To verify the performance of the proposed method, wheat, rough rice, and barley were taken as examples. The measured results in the range from 1.0% to 26.0%, wet basis, agreed well with the reference values (R 2 was more than 0.99), and the maximum absolute errors for wheat, rough rice, and barley were 1.1%, 1.0%, and 1.4%, respectively. In addition, the effect of isolation layer was discussed. Both the simulation results and the experimental results showed that the isolation layer improved the stability of sensor.

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          Most cited references 34

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          Coaxial Line Reflection Methods for Measuring Dielectric Properties of Biological Substances at Radio and Microwave Frequencies-A Review

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            Reflection of an open-ended coaxial line and application to nondestructive measurement of materials

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              PERMITTIVITY MEASUREMENTS OF BIOLOGICAL SAMPLES BY AN OPEN-ENDED COAXIAL LINE

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                28 September 2019
                October 2019
                : 19
                : 19
                Affiliations
                [1 ]Department of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China; zhangchi87@ 123456bupt.edu.cn (C.Z.); shizhichao@ 123456bupt.edu.cn (Z.S.); yang_haiying@ 123456bupt.edu.cn (H.Y.)
                [2 ]Department of Biological and Agricultural Engineering, Jilin University, Changchun 130012, China
                [3 ]Department of Biosystems Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; digvir.jayas@ 123456umanitoba.ca
                Author notes
                [* ]Correspondence: zxg@ 123456bupt.edu.cn (X.Z.); wuzidan@ 123456jlu.edu.cn (Z.W.)
                Article
                sensors-19-04224
                10.3390/s19194224
                6806096
                31569408
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

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