Improving food safety: Synthetic data augmentation for accurate mushroom species identification in complex environments
Growing global demand for mushrooms in the agricultural, pharmaceutical, and food sectors raises pressing concerns for food safety, as inadequate identification can lead to the inadvertent inclusion of toxic species. Although deep learning offers promising solutions for large-scale classification an...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Applied Food Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772502225003476 |
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