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Development of a Compact Quality Sorting Machine for Cherry Tomatoes Based on Real-time Color Image Processing
| Content Provider | Semantic Scholar |
|---|---|
| Author | Baek, In-Suck Cho, Byoung-Kwan Kim, Yunji |
| Copyright Year | 2012 |
| Abstract | Even though cherry tomato is one of the major vegetables consumed in Asian fresh-cut markets, its quality evaluation process is only dependent on mechanical size-based sorting methods that employ drum or bar shaped-sorting machines. Consumers are increasingly demanding high quality products to satisfy their standards. The application of the nondestructive sensing technologies for quality measurement of individual cherry tomatoes has rarely been attempted due to high-throughput sorting in limited time frame. In this study, a compact non-destructive quality sorting machine was developed using a real-time color image processing method for rapid quality measurement of individual cherry tomatoes. Color, deformity, and defects on cherry tomatoes were rapidly inspected by the sorting machine. Following the overall quality evaluation, individual cherry tomatoes were sorted into the designated quality groups with a novel mechanical sorting unit implemented at the end of the machine. Results show that cherry tomatoes were successfully graded with an accuracy of above 80% and a maximum sorting rate of about 360 kg per an hour. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www2.atb-potsdam.de/cigr-imageanalysis/images/images12/tabla_137_C0704.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
