Estimating plant-available nutrients with XRF sensors: towards a versatile analysis tool for soil condition assessment (2023)
- Authors:
- USP affiliated authors: CHERUBIN, MAURÍCIO ROBERTO - ESALQ ; LAVRES JUNIOR, JOSÉ - CENA ; CARVALHO, HUDSON WALLACE PEREIRA DE - CENA ; MARQUES, GABRIEL TOLEDO - ESALQ ; RAGAGNIN, MARCOS MANTELLI - ESALQ ; TAVARES, TIAGO RODRIGUES - CENA
- Unidades: ESALQ; CENA
- DOI: 10.1016/j.geoderma.2023.116701
- Subjects: ANÁLISE DO SOLO; ESPECTROSCOPIA; NUTRIENTES MINERAIS DO SOLO; QUALIDADE DO SOLO; QUIMIOMETRIA; SENSOR
- Keywords: Sensoriamento proximal do solo
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by-nc-nd
-
ABNT
TAVARES, Tiago Rodrigues et al. Estimating plant-available nutrients with XRF sensors: towards a versatile analysis tool for soil condition assessment. Geoderma, v. 439, p. 1-10, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.geoderma.2023.116701. Acesso em: 27 dez. 2025. -
APA
Tavares, T. R., Minasny, B., McBratney, A., Cherubin, M. R., Marques, G. T., Ragagnin, M. M., et al. (2023). Estimating plant-available nutrients with XRF sensors: towards a versatile analysis tool for soil condition assessment. Geoderma, 439, 1-10. doi:10.1016/j.geoderma.2023.116701 -
NLM
Tavares TR, Minasny B, McBratney A, Cherubin MR, Marques GT, Ragagnin MM, Alves EEN, Padarian J, Lavres Junior J, Carvalho HWP de. Estimating plant-available nutrients with XRF sensors: towards a versatile analysis tool for soil condition assessment [Internet]. Geoderma. 2023 ; 439 1-10.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1016/j.geoderma.2023.116701 -
Vancouver
Tavares TR, Minasny B, McBratney A, Cherubin MR, Marques GT, Ragagnin MM, Alves EEN, Padarian J, Lavres Junior J, Carvalho HWP de. Estimating plant-available nutrients with XRF sensors: towards a versatile analysis tool for soil condition assessment [Internet]. Geoderma. 2023 ; 439 1-10.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1016/j.geoderma.2023.116701 - Do XRF local models have temporal stability for predicting plant-available nutrients in different years?: a long-term study showing the effect of soil fertility management in a tropical field
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Informações sobre o DOI: 10.1016/j.geoderma.2023.116701 (Fonte: oaDOI API)
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