Calle, J.L.P.; Ferreiro-González, M.; Ruiz-RodrÃguez, A.; Fernández, D.; Palma, M.
Detection of Adulterations in Fruit Juices Using Machine Learning Methods over FT-IR Spectroscopic Data. Agronomy 2022, 12, 683.
https://doi.org/10.3390/agronomy12030683
AMA Style
Calle JLP, Ferreiro-González M, Ruiz-RodrÃguez A, Fernández D, Palma M.
Detection of Adulterations in Fruit Juices Using Machine Learning Methods over FT-IR Spectroscopic Data. Agronomy. 2022; 12(3):683.
https://doi.org/10.3390/agronomy12030683
Chicago/Turabian Style
Calle, José Luis P., Marta Ferreiro-González, Ana Ruiz-RodrÃguez, Daniel Fernández, and Miguel Palma.
2022. "Detection of Adulterations in Fruit Juices Using Machine Learning Methods over FT-IR Spectroscopic Data" Agronomy 12, no. 3: 683.
https://doi.org/10.3390/agronomy12030683
APA Style
Calle, J. L. P., Ferreiro-González, M., Ruiz-RodrÃguez, A., Fernández, D., & Palma, M.
(2022). Detection of Adulterations in Fruit Juices Using Machine Learning Methods over FT-IR Spectroscopic Data. Agronomy, 12(3), 683.
https://doi.org/10.3390/agronomy12030683