Detection of Adulterations in Fruit Juices Using Machine Learning Methods over FT-IR Spectroscopic Data

  1. Calle, J.L.P.
  2. Ferreiro-González, M.
  3. Ruiz-Rodríguez, A.
  4. Fernández, D.
  5. Palma, M.
Revue:
Agronomy

ISSN: 2073-4395

Année de publication: 2022

Volumen: 12

Número: 3

Type: Article

DOI: 10.3390/AGRONOMY12030683 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus