Digital Prediction of the Purchase Price of Fresh Tea Leaves of Enshi Yulu Based on Near-Infrared Spectroscopy Combined with Multivariate Analysis
In this study, near-infrared spectroscopy (NIRS) combined with a variety of chemometrics methods was used to establish a fast and non-destructive prediction model for the purchase price of fresh tea leaves. Firstly, a paired <i>t</i>-test was conducted on the quality index (QI) of seven...
| 出版年: | Foods |
|---|---|
| 主要な著者: | , , , , , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
MDPI AG
2023-09-01
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| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2304-8158/12/19/3592 |