A computer vision system for defect discrimination and grading in tomatoes using machine learning and image processing
With large-scale production and the need for high-quality tomatoes to meet consumer and market standards criteria, have led to the need for an inline, accurate, reliable grading system during the post-harvest process. This study introduced a tomato grading machine vision system based on RGB images....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2019-06-01
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| Series: | Artificial Intelligence in Agriculture |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589721719300194 |