Kupssinskü, Lucas Silveira 
; Guimarães, Tainá Thomassim ; Souza, Eniuce Menezes de ; Zanotta, Daniel C. ; Veronez, Maurício Roberto ; Gonzaga Junior, Luiz ; Mauad, Frederico Fábio
Source: Sensors. Unidade: EESC
Subjects: QUALIDADE DA ÁGUA, APRENDIZADO COMPUTACIONAL, SENSORIAMENTO REMOTO, CLOROFILA
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KUPSSINSKÜ, Lucas Silveira et al. A method for chlorophyll-a and suspended solids prediction through remote sensing and machine learning †. Sensors, v. 20, n. 7, 2020Tradução . . Disponível em: https://doi.org/10.3390/s20072125. Acesso em: 26 dez. 2024.APA
Kupssinskü, L. S., Guimarães, T. T., Souza, E. M. de, Zanotta, D. C., Veronez, M. R., Gonzaga Junior, L., & Mauad, F. F. (2020). A method for chlorophyll-a and suspended solids prediction through remote sensing and machine learning †. Sensors, 20( 7). doi:10.3390/s20072125NLM
Kupssinskü LS, Guimarães TT, Souza EM de, Zanotta DC, Veronez MR, Gonzaga Junior L, Mauad FF. A method for chlorophyll-a and suspended solids prediction through remote sensing and machine learning † [Internet]. Sensors. 2020 ; 20( 7):[citado 2024 dez. 26 ] Available from: https://doi.org/10.3390/s20072125Vancouver
Kupssinskü LS, Guimarães TT, Souza EM de, Zanotta DC, Veronez MR, Gonzaga Junior L, Mauad FF. A method for chlorophyll-a and suspended solids prediction through remote sensing and machine learning † [Internet]. Sensors. 2020 ; 20( 7):[citado 2024 dez. 26 ] Available from: https://doi.org/10.3390/s20072125
