Spectral data of tropical soils using dry-chemistry techniques (VNIR, XRF, and LIBS): a dataset for soil fertility prediction (2022)
- Authors:
- USP affiliated authors: MOLIN, JOSE PAULO - ESALQ ; KRUG, FRANCISCO JOSE - CENA ; CARVALHO, HUDSON WALLACE PEREIRA DE - CENA ; TAVARES, TIAGO RODRIGUES - CENA ; NUNES, LIDIANE CRISTINA - CENA
- Unidades: ESALQ; CENA
- DOI: 10.1016/j.dib.2022.108004
- Subjects: AGRICULTURA DE PRECISÃO; ESPECTROSCOPIA; FERTILIDADE DO SOLO; SENSORES QUÍMICOS; SOLO TROPICAL
- Keywords: Bibliotecas espectrais do solo; Sensoriamento de solo proximal; Pedometria
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Data in Brief
- ISSN: 2352-3409
- Volume/Número/Paginação/Ano: v. 41, art. e108004, p. 1-7, March 2022
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
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: 19 abr. 2024. -
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.2022.108004 -
NLM
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 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.dib.2022.108004 -
Vancouver
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 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.dib.2022.108004 - Multi-sensor approach for tropical soil fertility analysis: comparison of individual and combined performance of VNIR, XRF, and LIBS spectroscopies
- Laser-Induced Breakdown Spectroscopy (LIBS) for tropical soil fertility analysis
- Towards rapid analysis with XRF sensor for assessing soil fertility attributes: effects of dwell time reduction
- Effect of X-Ray Tube Configuration on Measurement of Key Soil Fertility Attributes with XRF
- Assessing soil key fertility attributes using a portable X-ray fluorescence: A simple method to overcome matrix effect
- Combined use of Vis-NIR and XRF sensors for tropical soil fertility analysis: assessing different data fusion approaches
- Dispersive micro solid-phase extraction combined with laser-induced breakdown spectroscopy for multielement extraction and determination
- Simplifying sample preparation for soil fertility analysis by x-ray fluorescence spectrometry
- Sensor systems for mapping soil fertility attributes: challenges, advances, and perspectives in brazilian tropical soils
- Cotton nitrogen uptake estimation for in-season fertilizer management based on proximal digital image analysis
Informações sobre o DOI: 10.1016/j.dib.2022.108004 (Fonte: oaDOI API)
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