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 (2025)
- Authors:
- USP affiliated authors: MOLIN, JOSE PAULO - ESALQ ; CARVALHO, HUDSON WALLACE PEREIRA DE - CENA ; LAVRES JUNIOR, JOSÉ - CENA ; MARQUES, GABRIEL TOLEDO - ESALQ ; RAGAGNIN, MARCOS MANTELLI - ESALQ ; SANTOS, FELIPE RODRIGUES DOS - ESALQ ; TAVARES, TIAGO RODRIGUES - CENA
- Unidades: ESALQ; CENA
- DOI: 10.1016/j.still.2024.106307
- Subjects: AGRICULTURA DE PRECISÃO; CÁLCIO; ESPECTROSCOPIA DE RAIO X; FERTILIDADE DO SOLO; MANEJO DO SOLO; NUTRIÇÃO VEGETAL; NUTRIENTES MINERAIS DO SOLO; POTÁSSIO; SOLO TROPICAL
- Keywords: Pedometria; Saúde do solo; Sensoriamneto proximal do solo
- Agências de fomento:
- Language: Inglês
- Objetivos de Desenvolvimento Sustentável (ODS):
02. Fome zero e agricultura sustentável
- Imprenta:
- Source:
- Título: Soil & Tillage Research
- ISSN: 0167-1987
- Volume/Número/Paginação/Ano: v. 245, art. 106307, p. 1-15, 2025
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
TAVARES, Tiago Rodrigues et al. 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. Soil & Tillage Research, v. 245, p. 1-15, 2025Tradução . . Disponível em: https://www.sciencedirect.com/science/article/pii/S0167198724003088?via%3Dihub. Acesso em: 08 fev. 2026. -
APA
Tavares, T. R., Minasny, B., McBratney, A., Molin, J. P., Marques, G. T., Ragagnin, M. M., et al. (2025). 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. Soil & Tillage Research, 245, 1-15. doi:10.1016/j.still.2024.106307 -
NLM
Tavares TR, Minasny B, McBratney A, Molin JP, Marques GT, Ragagnin MM, Santos FR dos, Carvalho HWP de, Lavres Junior J. 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 [Internet]. Soil & Tillage Research. 2025 ; 245 1-15.[citado 2026 fev. 08 ] Available from: https://www.sciencedirect.com/science/article/pii/S0167198724003088?via%3Dihub -
Vancouver
Tavares TR, Minasny B, McBratney A, Molin JP, Marques GT, Ragagnin MM, Santos FR dos, Carvalho HWP de, Lavres Junior J. 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 [Internet]. Soil & Tillage Research. 2025 ; 245 1-15.[citado 2026 fev. 08 ] Available from: https://www.sciencedirect.com/science/article/pii/S0167198724003088?via%3Dihub - Estimating plant-available nutrients with XRF sensors: towards a versatile analysis tool for soil condition assessment
- Towards rapid analysis with XRF sensor for assessing soil fertility attributes: effects of dwell time reduction
- 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
- Advancing XRF soil analysis procedures for laboratory measurements: scenarios combining different scanning times and replicates
- Cotton nitrogen uptake estimation for in-season fertilizer management based on proximal digital image analysis
- Sensor systems for mapping soil fertility attributes: challenges, advances, and perspectives in brazilian tropical soils
- Low-cost XRF spectrometer for agricultural sample analysis: assembly details and soil fertility prediction performance
- Proficiency tests for soil analysis services via proximal sensing
- Spectral data of tropical soils using dry-chemistry techniques (VNIR, XRF, and LIBS): a dataset for soil fertility prediction
Informações sobre o DOI: 10.1016/j.still.2024.106307 (Fonte: oaDOI API)
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