Mississippi State University
To, S. D. Filip
Lowe, John Wes
Hendrix, C. LaShan
Date of Degree
Graduate Thesis - Open Access
Master of Science (M.S.)
James Worth Bagley College of Engineering
Department of Agricultural and Biological Engineering
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.
Gay, Lucas, "Inline real time moisture sensing for gin cotton" (2023). Theses and Dissertations. 5830.
Available for download on Wednesday, May 15, 2024