Source: Sensors. Unidade: ESALQ
Subjects: ALGORITMOS GENÉTICOS, CONTAMINAÇÃO DO SOLO, ESPECTROSCOPIA INFRAVERMELHA, FLUORESCÊNCIA, RAIOS X, TOXICIDADE DO SOLO
ABNT
GHOLIZADEH, Asa et al. vis–NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil. Sensors, v. 21, n. 2386, p. 1-18, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21072386. Acesso em: 26 set. 2024.APA
Gholizadeh, A., Coblinski, J. A., Saberioon, M., Ben-Dor, E., Drábek, O., Demattê, J. A. M., et al. (2021). vis–NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil. Sensors, 21( 2386), 1-18. doi:10.3390/s21072386NLM
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 [Internet]. Sensors. 2021 ; 21( 2386): 1-18.[citado 2024 set. 26 ] Available from: https://doi.org/10.3390/s21072386Vancouver
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 [Internet]. Sensors. 2021 ; 21( 2386): 1-18.[citado 2024 set. 26 ] Available from: https://doi.org/10.3390/s21072386