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

Permanent URL:
http://handle.nal.usda.gov/10113/56946
Abstract:
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.
Author(s):
M. F. Digman , S. P. Conley , J. G. Lauer
Subject(s):
bulk density , grains , microwave ovens , prediction , statistical models , temperature , water content
Source:
Applied engineering in agriculture 2012 v.28 no.4
Language:
English
Year:
2012
Collection:
Journal Articles, USDA Authors, Peer-Reviewed
File:
Download [PDF File]
Rights:
Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.