Internal Quality Estimation of Watermelon by Multiple Acoustic Signal Sensing |
| Journal |
Key Engineering Materials (Volumes 321 - 323) |
| Volume |
Advanced Nondestructive Evaluation I |
| Pages |
1209-1212 |
| DOI |
10.4028/www.scientific.net/KEM.321-323.1209 |
| Online since |
October, 2006 |
| Authors |
Kang Jin Lee,
Wank Yu Choi,
Gi Young Kim,
Suk Won Kang,
Sang Ha Noh
|
| Keywords |
Acoustic Signal, Internal Defect, Sugar Contents, Watermelon |
| Abstract |
Watermelons are usually sorted by theirs weight and internal quality. Some automated
watermelon weight sorters have been developed and operated in watermelon production areas.
However, inspection of internal quality of watermelon is still performed by manually. Principal
method of identifying internal defect of watermelon is analyzing the percussion sound of watermelon
by human experts. Development of non-destructive evaluation technique for internal quality of
watermelon is required to reduce human decision errors. The objective of this study was to develop a
non-destructive sorting system which can detect internal defect of watermelons. The internal defect
evaluation system has a constant-force hitting hammer to generate the acoustic sound, a multi-point
sound signal acquiring system, a noise removal circuit, and a signal processing and quality evaluation
program. An internal quality prediction model by PLSR (Partial Least Square Regression) was
developed by analyzing the percussion sound of watermelons. Using the developed model, the
prediction result shows that the overall prediction accuracy was 90.1%, and severely defected
watermelons were identified perfectly. |
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