Predicting Watermelon Sweetness from Induced Vibrational Frequencies
Presentation Type
Poster
Department
Mathematics
Location
Walker Conference Center B
Description
The current project focused on gathering additional audio signals from thumping watermelons to improve the correlation between the sound produced and the predicted sugar concentration of the watermelon. The audio signals are converted to harmonic frequencies using the Fast Fourier Transform (FFT) and then combined with a few physical properties of the watermelon for processing. The resulting analysis yields coefficients for a linear regression model to predict the sweetness of a watermelon. Data was collected in MATLAB on a PC and on a developed prototype iPhone app, “Dr. Thump”.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Predicting Watermelon Sweetness from Induced Vibrational Frequencies
Walker Conference Center B
The current project focused on gathering additional audio signals from thumping watermelons to improve the correlation between the sound produced and the predicted sugar concentration of the watermelon. The audio signals are converted to harmonic frequencies using the Fast Fourier Transform (FFT) and then combined with a few physical properties of the watermelon for processing. The resulting analysis yields coefficients for a linear regression model to predict the sweetness of a watermelon. Data was collected in MATLAB on a PC and on a developed prototype iPhone app, “Dr. Thump”.
Comments
This work is currently embargoed. It will be available May 2026.