Machine learning-based prediction of total phenolic and flavonoid in horticultural products
The purpose of this study was to predict the total phenolic content (TPC) and total flavonoid content (TFC) in several horticultural commodities using near-infrared spectroscopy (NIRS) combined with machine learning. Although models are typically developed for a single product, expanding the coverag...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2023-01-01
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| Series: | Open Agriculture |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/opag-2022-0163 |