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.
Aldizkaria:
Agronomy

ISSN: 2073-4395

Argitalpen urtea: 2022

Alea: 12

Zenbakia: 3

Mota: Artikulua

DOI: 10.3390/AGRONOMY12030683 GOOGLE SCHOLAR lock_openSarbide irekia editor
Datuen iturria: Scopus