Rapid Detection and Quantification of Adulterants in Fruit Juices Using Machine Learning Tools and Spectroscopy Data
Journal:
Sensors
ISSN: 1424-8220
Year of publication: 2022
Volume: 22
Issue: 10
Type: Article