- Tytuł :
- Rapid Detection and Quantification of Adulterants in Fruit Juices Using Machine Learning Tools and Spectroscopy Data.
- Autorzy :
- Źródło :
- Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 May 19; Vol. 22 (10). Date of Electronic Publication: 2022 May 19.
- Typ publikacji :
- Journal Article
- MeSH Terms :
-
Food
Quality *
Fruit and Vegetable Juices*/analysis
Fruit and Vegetable Juices*/standardsQuality Control *
Humans ; Machine Learning ; Spectroscopy, Near-Infrared -
Czasopismo naukowe