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Evaluation of a Microwave Resonator for Predicting Grain Moisture Independent of Bulk Density
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.
M. F. Digman
S. P. Conley
J. G. Lauer
Applied engineering in agriculture 2012 v.28 no.4
Journal Articles, USDA Authors, Peer-Reviewed
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