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Evaluation of a Microwave Resonator for Predicting Grain Moisture Independent of Bulk Density

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Applied Engineering in Agriculture. 28(4): 611-617. (doi: 10.13031/2013.42073) @2012
Authors:   M. F. Digman, S. P. Conley, J. G. Lauer
Keywords:   Soybean, Glycine max L, Merr, Corn, Zea mays L, Microwaves, Microwave moisture sensor, Dielectric constant, Permittivity, Bulk density, Moisture content, Attenuation, Frequency shift, Bandwidth shift

This work evaluated the utility of a planar resonator to predict moisture considering moisture and densities expected in an on-harvester application. A calibration model was developed to accurately predict moisture over the moisture, density, and temperature ranges evaluated. This model, comprised of bandwidth and center frequency of a resonance peak at 2.38 GHz, predicted moisture content compared to oven moisture reference data with an r2 of 0.996 and a root mean square error (RMSE) of 1.32. When bulk density was added to the moisture prediction model, no statistically significant improvement was obtained.

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