Gholizadeh, A.; Coblinski, J.A.; Saberioon, M.; Ben-Dor, E.; Drábek, O.; Demattê, J.A.M.; Borůvka, L.; Němeček, K.; Chabrillat, S.; Dajčl, J.
vis–NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil. Sensors 2021, 21, 2386.
https://doi.org/10.3390/s21072386
AMA Style
Gholizadeh A, Coblinski JA, Saberioon M, Ben-Dor E, Drábek O, Demattê JAM, Borůvka L, Němeček K, Chabrillat S, Dajčl J.
vis–NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil. Sensors. 2021; 21(7):2386.
https://doi.org/10.3390/s21072386
Chicago/Turabian Style
Gholizadeh, Asa, João A. Coblinski, Mohammadmehdi Saberioon, Eyal Ben-Dor, Ondřej Drábek, José A. M. Demattê, Luboš Borůvka, Karel Němeček, Sabine Chabrillat, and Julie Dajčl.
2021. "vis–NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil" Sensors 21, no. 7: 2386.
https://doi.org/10.3390/s21072386
APA Style
Gholizadeh, A., Coblinski, J. A., Saberioon, M., Ben-Dor, E., Drábek, O., Demattê, J. A. M., Borůvka, L., Němeček, K., Chabrillat, S., & Dajčl, J.
(2021). vis–NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil. Sensors, 21(7), 2386.
https://doi.org/10.3390/s21072386