Theses and Dissertations

Issuing Body

Mississippi State University

Advisor

To, S. D. Filip

Committee Member

Lowe, John Wes

Committee Member

Hendrix, C. LaShan

Date of Degree

5-12-2023

Document Type

Graduate Thesis - Open Access

Major

Biosystems Engineering

Degree Name

Master of Science (M.S.)

College

James Worth Bagley College of Engineering

Department

Department of Agricultural and Biological Engineering

Abstract

The objective of this study was to assess the performance of a capacitive sensor in measuring moisture content of cotton within the moisture range of 6-13%. The assessment was conducted in two phases: static and dynamic. During the static phase, models to predict moisture content were created and a 95% Confidence Interval of [-0.619,0.619], Percent Residual Accuracy of 97.586%, and a mean error of 4.396% were achieved. The Bland-Altman plot yielded a curve with a slight positive trend, suggesting the data could be modeled more appropriately by multiple models. The dynamic phase saw similar results as the static tests in overall trends, however the predicted values tended to be less accurate than static testing. Static testing had a RMSE of 0.313 compared to the dynamic testing having a RMSE of 0.737 [MC%]. Future work should increase the number of data points in the dynamic environment to improve these statistical markers.

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