Tavares, Tiago Rodrigues 
; Molin, José Paulo ; Nunes, Lidiane Cristina ; Alves, Elton Eduardo Novais ; Krug, Francisco José ; Carvalho, Hudson Wallace Pereira de
Fonte: Data in Brief. Unidades: ESALQ, CENA
Assuntos: AGRICULTURA DE PRECISÃO, ESPECTROSCOPIA, FERTILIDADE DO SOLO, SENSORES QUÍMICOS, SOLO TROPICAL
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TAVARES, Tiago Rodrigues et al. Spectral data of tropical soils using dry-chemistry techniques (VNIR, XRF, and LIBS): a dataset for soil fertility prediction. Data in Brief, v. 41, p. 1-7, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.dib.2022.108004. Acesso em: 18 nov. 2025.APA
Tavares, T. R., Molin, J. P., Nunes, L. C., Alves, E. E. N., Krug, F. J., & Carvalho, H. W. P. de. (2022). Spectral data of tropical soils using dry-chemistry techniques (VNIR, XRF, and LIBS): a dataset for soil fertility prediction. Data in Brief, 41, 1-7. doi:10.1016/j.dib.2022.108004NLM
Tavares TR, Molin JP, Nunes LC, Alves EEN, Krug FJ, Carvalho HWP de. Spectral data of tropical soils using dry-chemistry techniques (VNIR, XRF, and LIBS): a dataset for soil fertility prediction [Internet]. Data in Brief. 2022 ; 41 1-7.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.dib.2022.108004Vancouver
Tavares TR, Molin JP, Nunes LC, Alves EEN, Krug FJ, Carvalho HWP de. Spectral data of tropical soils using dry-chemistry techniques (VNIR, XRF, and LIBS): a dataset for soil fertility prediction [Internet]. Data in Brief. 2022 ; 41 1-7.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1016/j.dib.2022.108004
