Click on “Download PDF” for the PDF version or on the title for the HTML version. If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options. Investigating the Influence of Grain Variety on Calibration of Microwave Moisture SensorsPublished by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org Citation: Applied Engineering in Agriculture. 39(3): 285-290. (doi: 10.13031/aea.15385) @2023Authors: samir Trabelsi, Micah A. Lewis, Stuart O. Nelson Keywords: Calibration, Dielectric properties, Microwave moisture sensors, Unified calibration, Variety influence. Highlights Dielectric properties of wheat and corn were measured at 10 GHz and 25°C. Moisture content was determined with a dielectric-based density-independent calibration function. No Influence of variety in calibrating microwave moisture sensors was observed for wheat and corn. A unified calibration for moisture determination in wheat and corn provided moisture content with SEC of 0.87%. Abstract. Microwave moisture sensors represent a sound solution for real-time, nondestructive determination of moisture content in grains, seeds, nuts, and other agricultural products. One of the most critical phases in developing these sensors is their calibration against standard methods, in this instance, the oven-drying technique. In this study, dielectric properties of different varieties of wheat, and corn were measured at 10 GHz and an average room temperature of 25.2°C to investigate the influence of variety in calibrating microwave moisture sensors. Dielectric properties measured for all varieties tested for a given material were nearly superimposed, and the same was observed when plotting density-independent calibration function, , as a function of moisture content. Performance of individual moisture calibration equations in predicting moisture content was compared to that from a single moisture calibration equation established for all varieties combined through computation of the standard error of calibration (SEC). In most instances, for both wheat and corn the SEC corresponding to individual varieties were nearly the same as that corresponding to all varieties combined. In addition, it was observed that a unified calibration can be established for both wheat and corn whereby moisture can be predicted from a single moisture calibration equation based on measurement of the dielectric properties at a single microwave frequency. Here, such an equation provided moisture content in wheat and corn with a SEC of 0.87%. (Download PDF) (Export to EndNotes)
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