Falcioni, R.; Moriwaki, T.; Gibin, M.S.; Vollmann, A.; Pattaro, M.C.; Giacomelli, M.E.; Sato, F.; Nanni, M.R.; Antunes, W.C.
Classification and Prediction by Pigment Content in Lettuce (Lactuca sativa L.) Varieties Using Machine Learning and ATR-FTIR Spectroscopy. Plants 2022, 11, 3413.
https://doi.org/10.3390/plants11243413
AMA Style
Falcioni R, Moriwaki T, Gibin MS, Vollmann A, Pattaro MC, Giacomelli ME, Sato F, Nanni MR, Antunes WC.
Classification and Prediction by Pigment Content in Lettuce (Lactuca sativa L.) Varieties Using Machine Learning and ATR-FTIR Spectroscopy. Plants. 2022; 11(24):3413.
https://doi.org/10.3390/plants11243413
Chicago/Turabian Style
Falcioni, Renan, Thaise Moriwaki, Mariana Sversut Gibin, Alessandra Vollmann, Mariana Carmona Pattaro, Marina Ellen Giacomelli, Francielle Sato, Marcos Rafael Nanni, and Werner Camargos Antunes.
2022. "Classification and Prediction by Pigment Content in Lettuce (Lactuca sativa L.) Varieties Using Machine Learning and ATR-FTIR Spectroscopy" Plants 11, no. 24: 3413.
https://doi.org/10.3390/plants11243413
APA Style
Falcioni, R., Moriwaki, T., Gibin, M. S., Vollmann, A., Pattaro, M. C., Giacomelli, M. E., Sato, F., Nanni, M. R., & Antunes, W. C.
(2022). Classification and Prediction by Pigment Content in Lettuce (Lactuca sativa L.) Varieties Using Machine Learning and ATR-FTIR Spectroscopy. Plants, 11(24), 3413.
https://doi.org/10.3390/plants11243413
