Rapid identification of chrysanthemum teas by computer vision and deep learning
Abstract Seven commercial Chinese chrysanthemum tea products were classified by computer vision combined with machine learning algorithms. Without the need of building any specific hardware, the image acquisition was achieved in two computer vision approaches. In the first approach, a series of mult...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-04-01
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| Series: | Food Science & Nutrition |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/fsn3.1484 |