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Evaluation of a Microwave Resonator for Predicting Grain Moisture Independent of Bulk Density
- Digman, M. F., Conley, S. P., Lauer, J. G.
- Applied engineering in agriculture 2012 v.28 no.4 pp. 611
- bulk density, grains, microwave ovens, prediction, statistical models, temperature, water content
- 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.