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Conference Papers Year : 2016

Design of High-Frequency Based Measuring Sensor for Grain Moisture Content


Accurate measurements of moisture content are indispensable for maintenance of a detecting sensor is designed in this paper to determine the grain moisture content by measuring dielectric constants. To optimize the performance of the designed sensor, electromagnetic waves with suitable frequencies are chosen first followed by deep studies on its transmission characteristic in grain media. Taking wheat as testing samples and applying a total of six frequencies, the network analyzer from Agilent Technologies E5061A is used to measure the dielectric constant and loss tangent of grains with different moisture content. The variation of dielectric constants against moisture under various frequencies is obtained based on which the grain moisture is deduced. According to high frequency transmission line theory, as the impedance of probes wrapped in wet media varies with dielectric constants and is mismatched with transmission lines, standing waves are generated by the composition of reflected waves and incident waves. The strength of reflections depends on probe and characteristic impedances. The relationship of moisture content and dielectric constant can be deduced by analyzing the dynamic variation of reflected and incident waves. Key hardware circuits have been designed involving the moisture detecting circuit, signal generator circuit, high frequency transmission lines, etc. Calibration experiments are carried out, compared with drying method, a cubic polynomial relationship of moisture and output voltage with $$ {\text{R}}^{2} = 0.995 $$R2=0.995 was obtained by regression analyses. The standard error of predicted results from regression analysis and measured results is 1.09 %. It indicates that the proposed method has a high accuracy.
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Dates and versions

hal-01557798 , version 1 (06-07-2017)





Qinglan Shi, Yunling Liu, Wen Zhang. Design of High-Frequency Based Measuring Sensor for Grain Moisture Content. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. pp.197-207, ⟨10.1007/978-3-319-48357-3_19⟩. ⟨hal-01557798⟩
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