Presentation Type
Poster
Department
Physics
Location
Walker Conference Center B
Description
The current project was focused on gathering audio signals from thumping watermelon to improve the our correlation between the sound produced and the sugar concentration of the watermelon. The Audio signals are converted to harmonic frequencies using the Fast Fourier Transform (FFT) and then analyzed, along with a few physical properties of the watermelon, to find the coefficients of a linear regression to predict the measured Brix value of a watermelon. This process is currently being performed in MATLAB on a PC, but work is being done to incorporate it into an iPhone app.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Watermelon Sweetness Prediction Based on Sound Waves
Walker Conference Center B
The current project was focused on gathering audio signals from thumping watermelon to improve the our correlation between the sound produced and the sugar concentration of the watermelon. The Audio signals are converted to harmonic frequencies using the Fast Fourier Transform (FFT) and then analyzed, along with a few physical properties of the watermelon, to find the coefficients of a linear regression to predict the measured Brix value of a watermelon. This process is currently being performed in MATLAB on a PC, but work is being done to incorporate it into an iPhone app.