| Texto completo | |
| Autor(es): |
Tavares, Tiago R.
;
Bedum, Gabriel V.
;
Gelain, Mateus S.
;
da Silva, Luiza M. A. L.
;
Molin, Jose P.
;
Lavres, Jose
;
de Carvalho, Hudson W. P.
Número total de Autores: 7
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Engenharia Agrícola; v. 45, p. 10-pg., 2025-01-01. |
| Resumo | |
X-ray fluorescence (XRF) spectroscopy is a promising tool for laboratory soil analysis, and optimizing data acquisition setup enhances operational efficiency while maintaining accuracy. This study evaluated the impact of reducing scanning times and increasing replicates on XRF performance for predicting clay content, exchangeable (ex-) K, and ex-Ca using a dataset of 58 soil samples. Four scenarios were tested -30s+1r, 15s+2r, 10s+3r, and 6s+5r-each maintaining a total instrument time of 30 s. Models were calibrated using 41 samples and validated on the remaining 17. The 10s+3r scenario provided comparable predictive accuracy to longer scanning times, achieving R-2 = 0.97 and RPIQ = 3.34 for clay, R-2 = 0.55 and RPIQ = 2.09 for ex-Ca, and R-2 = 0.67 and RPIQ = 0.81 for ex-K; thus, predictions were "very good" (RPIQ >= 2.00) for clay and ex-Ca, while ex-K remained poor across scenarios (RPIQ < 1.40). Despite a higher number of replicates, the 6s+5r scenario showed reduced precision due to increased noise. The 10s+3r configuration optimizes analysis time without compromising accuracy, making it a suitable option for high-throughput soil analysis in laboratory settings. In conclusion, these findings provide insights that can enhance laboratory workflows, reducing time per analysis while maintaining data reliability. (AU) | |
| Processo FAPESP: | 20/16670-9 - Modelagem de dados espectrais para análise da fertilidade de solos tropicais: associação das técnicas vis-NIR e XRF para a modernização dos métodos tradicionais de análise |
| Beneficiário: | Tiago Rodrigues Tavares |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |