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Predicting sensory evaluation of spinach freshness using machine learning model and digital images
The visual perception of freshness is an important factor considered by consumers in the purchase of fruits and vegetables. However, panel testing when evaluating food products is time consuming and expensive. Herein, the ability of an image processing-based, nondestructive technique to classify spi...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7978266/ https://ncbi.nlm.nih.gov/pubmed/33739969 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0248769 |
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