Abstract
The aim of this study was to evaluate the efficiency of the dielectric meter in predicting moisture content in wood chips based on the input parameter (capacitance) which yields the measured value (moisture). A database was constructed from twelve sets of measurements using the dielectric moisture meter on wood chips of Pinus sp. and Eucalyptus sp. from eight different suppliers. This database was then used to produce a specific curve for each supplier through linear regression. Consequently, a positive linear correlation was observed, with the data points showing a 45° trend in their dispersion on the graph for each curve. It was noted that the dielectric constant decreased as the moisture content reduced during the drying process. With a determination coefficient R² exceeding 80% on the curves, it's feasible to predict the moisture content based on the dielectric properties of each group of wood chips in a swift, practical, and cost-effective manner.
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