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Artigo de periodico
Advancing XRF soil analysis procedures for laboratory measurements: scenarios combining different scanning times and replicates (2025)
Tavares, Tiago Rodrigues ; Bedum, Gabriel Villela ; Gelain, Mateus Silva ; Silva, Luiza M. A. L. da; Molin, José Paulo ; Lavres Junior, José ; Carvalho, Hudson Wallace Pereira de
Source: Engenharia Agrícola. Conference titles: Congresso Brasileiro de Agricultura de Precisão e Digital - ConBap. Unidades: ESALQ, CENA
Subjects: ANÁLISE DO SOLO, ESPECTROSCOPIA DE RAIO X, MANEJO DO SOLO, NUTRIENTES MINERAIS DO SOLO
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ABNT
TAVARES, Tiago Rodrigues et al. Advancing XRF soil analysis procedures for laboratory measurements: scenarios combining different scanning times and replicates. Engenharia Agrícola, v. 45, n. 2 Esp, p. 1-2, 2025Tradução . . Disponível em: https://doi.org/10.1590/1809-4430-Eng.Agric.v45nespe220250054/2025. Acesso em: 23 fev. 2026.
APA
Tavares, T. R., Bedum, G. V., Gelain, M. S., Silva, L. M. A. L. da, Molin, J. P., Lavres Junior, J., & Carvalho, H. W. P. de. (2025). Advancing XRF soil analysis procedures for laboratory measurements: scenarios combining different scanning times and replicates. Engenharia Agrícola, 45( 2 Esp), 1-2. doi:10.1590/1809-4430-Eng.Agric.v45nespe220250054/2025
NLM
Tavares TR, Bedum GV, Gelain MS, Silva LMAL da, Molin JP, Lavres Junior J, Carvalho HWP de. Advancing XRF soil analysis procedures for laboratory measurements: scenarios combining different scanning times and replicates [Internet]. Engenharia Agrícola. 2025 ; 45( 2 Esp): 1-2.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1590/1809-4430-Eng.Agric.v45nespe220250054/2025
Vancouver
Tavares TR, Bedum GV, Gelain MS, Silva LMAL da, Molin JP, Lavres Junior J, Carvalho HWP de. Advancing XRF soil analysis procedures for laboratory measurements: scenarios combining different scanning times and replicates [Internet]. Engenharia Agrícola. 2025 ; 45( 2 Esp): 1-2.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1590/1809-4430-Eng.Agric.v45nespe220250054/2025
Artigo de periodico
Temporal evaluation of soil chemical quality using VNIR and XRF spectroscopies (2024)
Oldoni, Henrique ; Tavares, Tiago Rodrigues ; Brasco, Thiago Luis; Cherubin, Maurício Roberto ; Carvalho, Hudson Wallace Pereira de ; Magalhães, Paulo S. Graziano; Amaral, Lucas Rios do
Source: Soil and Tillage Research. Unidades: ESALQ, CENA
Subjects: ESPECTROSCOPIA, QUALIDADE DO SOLO, QUÍMICA DO SOLO, SOLO TROPICAL
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ABNT
OLDONI, Henrique et al. Temporal evaluation of soil chemical quality using VNIR and XRF spectroscopies. Soil and Tillage Research, v. 240, p. 1-11, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.still.2024.106087. Acesso em: 23 fev. 2026.
APA
Oldoni, H., Tavares, T. R., Brasco, T. L., Cherubin, M. R., Carvalho, H. W. P. de, Magalhães, P. S. G., & Amaral, L. R. do. (2024). Temporal evaluation of soil chemical quality using VNIR and XRF spectroscopies. Soil and Tillage Research, 240, 1-11. doi:10.1016/j.still.2024.106087
NLM
Oldoni H, Tavares TR, Brasco TL, Cherubin MR, Carvalho HWP de, Magalhães PSG, Amaral LR do. Temporal evaluation of soil chemical quality using VNIR and XRF spectroscopies [Internet]. Soil and Tillage Research. 2024 ; 240 1-11.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.still.2024.106087
Vancouver
Oldoni H, Tavares TR, Brasco TL, Cherubin MR, Carvalho HWP de, Magalhães PSG, Amaral LR do. Temporal evaluation of soil chemical quality using VNIR and XRF spectroscopies [Internet]. Soil and Tillage Research. 2024 ; 240 1-11.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.still.2024.106087
Dissertação (Mestrado)
Online near-infrared spectroscopy for soil attributes prediction (2023)
Canal Filho, Ricardo ; Molin, Jose Paulo (Orientador)
Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, APRENDIZADO COMPUTACIONAL, ESPECTROSCOPIA INFRAVERMELHA, SOLO TROPICAL, VARIABILIDADE ESPACIAL
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ABNT
CANAL FILHO, Ricardo. Online near-infrared spectroscopy for soil attributes prediction. 2023. Dissertação (Mestrado) – Universidade de São Paulo, Piracicaba, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/11/11152/tde-21032023-182112/. Acesso em: 23 fev. 2026.
APA
Canal Filho, R. (2023). Online near-infrared spectroscopy for soil attributes prediction (Dissertação (Mestrado). Universidade de São Paulo, Piracicaba. Recuperado de https://www.teses.usp.br/teses/disponiveis/11/11152/tde-21032023-182112/
NLM
Canal Filho R. Online near-infrared spectroscopy for soil attributes prediction [Internet]. 2023 ;[citado 2026 fev. 23 ] Available from: https://www.teses.usp.br/teses/disponiveis/11/11152/tde-21032023-182112/
Vancouver
Canal Filho R. Online near-infrared spectroscopy for soil attributes prediction [Internet]. 2023 ;[citado 2026 fev. 23 ] Available from: https://www.teses.usp.br/teses/disponiveis/11/11152/tde-21032023-182112/
Artigo de periodico
Estimating plant-available nutrients with XRF sensors: towards a versatile analysis tool for soil condition assessment (2023)
Tavares, Tiago Rodrigues ; Minasny, Budiman ; McBratney, Alex; Cherubin, Maurício Roberto ; Marques, Gabriel Toledo; Ragagnin, Marcos Mantelli ; Alves, Elton Eduardo Novais ; Padarian, José; Lavres Junior, José ; Carvalho, Hudson Wallace Pereira de
Source: Geoderma. Unidades: ESALQ, CENA
Subjects: ANÁLISE DO SOLO, ESPECTROSCOPIA, NUTRIENTES MINERAIS DO SOLO, QUALIDADE DO SOLO, QUIMIOMETRIA, SENSOR
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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: 23 fev. 2026.
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 2026 fev. 23 ] 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 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.geoderma.2023.116701
Artigo de periodico
Soil attributes mapping with online near-infrared spectroscopy requires spatio-temporal local calibrations (2023)
Canal Filho, Ricardo ; Molin, José Paulo ; Wei, Marcelo Chan Fu ; Silva, Eudocio Rafael Otavio da
Source: AgriEngineering. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, APRENDIZADO COMPUTACIONAL, ESPECTROSCOPIA INFRAVERMELHA, MANEJO DO SOLO, MAPEAMENTO DO SOLO, VARIABILIDADE ESPACIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANAL FILHO, Ricardo et al. Soil attributes mapping with online near-infrared spectroscopy requires spatio-temporal local calibrations. AgriEngineering, v. 5, p. 1163–1177, 2023Tradução . . Disponível em: https://doi.org/10.3390/agriengineering5030074. Acesso em: 23 fev. 2026.
APA
Canal Filho, R., Molin, J. P., Wei, M. C. F., & Silva, E. R. O. da. (2023). Soil attributes mapping with online near-infrared spectroscopy requires spatio-temporal local calibrations. AgriEngineering, 5, 1163–1177. doi:10.3390/agriengineering5030074
NLM
Canal Filho R, Molin JP, Wei MCF, Silva ERO da. Soil attributes mapping with online near-infrared spectroscopy requires spatio-temporal local calibrations [Internet]. AgriEngineering. 2023 ; 5 1163–1177.[citado 2026 fev. 23 ] Available from: https://doi.org/10.3390/agriengineering5030074
Vancouver
Canal Filho R, Molin JP, Wei MCF, Silva ERO da. Soil attributes mapping with online near-infrared spectroscopy requires spatio-temporal local calibrations [Internet]. AgriEngineering. 2023 ; 5 1163–1177.[citado 2026 fev. 23 ] Available from: https://doi.org/10.3390/agriengineering5030074
Artigo de periodico
Predictive performance of mobile Vis–NIR spectroscopy for mapping key fertility attributes in tropical soils through local models using PLS and ANN (2022)
Eitelwein, Mateus Tonini; Tavares, Tiago Rodrigues ; Molin, José Paulo ; Trevisan, Rodrigo Gonçalves; Sousa, Rafael Vieira de ; Demattê, José Alexandre Melo
Source: Automation. Unidades: ESALQ, FZEA, CENA
Subjects: AGRICULTURA DE PRECISÃO, ESPECTROSCOPIA INFRAVERMELHA, FERTILIDADE DO SOLO, MAPEAMENTO DO SOLO, MODELAGEM DE DADOS, SENSOR, SOLO TROPICAL
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ABNT
EITELWEIN, Mateus Tonini et al. Predictive performance of mobile Vis–NIR spectroscopy for mapping key fertility attributes in tropical soils through local models using PLS and ANN. Automation, v. 3, p. 116-131, 2022Tradução . . Disponível em: https://doi.org/10.3390/automation3010006. Acesso em: 23 fev. 2026.
APA
Eitelwein, M. T., Tavares, T. R., Molin, J. P., Trevisan, R. G., Sousa, R. V. de, & Demattê, J. A. M. (2022). Predictive performance of mobile Vis–NIR spectroscopy for mapping key fertility attributes in tropical soils through local models using PLS and ANN. Automation, 3, 116-131. doi:10.3390/automation3010006
NLM
Eitelwein MT, Tavares TR, Molin JP, Trevisan RG, Sousa RV de, Demattê JAM. Predictive performance of mobile Vis–NIR spectroscopy for mapping key fertility attributes in tropical soils through local models using PLS and ANN [Internet]. Automation. 2022 ; 3 116-131.[citado 2026 fev. 23 ] Available from: https://doi.org/10.3390/automation3010006
Vancouver
Eitelwein MT, Tavares TR, Molin JP, Trevisan RG, Sousa RV de, Demattê JAM. Predictive performance of mobile Vis–NIR spectroscopy for mapping key fertility attributes in tropical soils through local models using PLS and ANN [Internet]. Automation. 2022 ; 3 116-131.[citado 2026 fev. 23 ] Available from: https://doi.org/10.3390/automation3010006
Artigo de periodico
Spatial variability of soil attributes by an electromagnetic induction sensor: a framework of multiple fields assessment under Brazilian soils (2022)
Sanches, Guilherme Martinelli; Otto, Rafael ; Adamchuk, Viacheslav; Magalhães, Paulo S. G
Source: Biosystems Engineering. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, CONDUTIVIDADE ELÉTRICA, MAPEAMENTO DO SOLO, SENSOR, VARIABILIDADE ESPACIAL
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ABNT
SANCHES, Guilherme Martinelli et al. Spatial variability of soil attributes by an electromagnetic induction sensor: a framework of multiple fields assessment under Brazilian soils. Biosystems Engineering, v. 216, p. 229-240, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.biosystemseng.2022.02.017. Acesso em: 23 fev. 2026.
APA
Sanches, G. M., Otto, R., Adamchuk, V., & Magalhães, P. S. G. (2022). Spatial variability of soil attributes by an electromagnetic induction sensor: a framework of multiple fields assessment under Brazilian soils. Biosystems Engineering, 216, 229-240. doi:10.1016/j.biosystemseng.2022.02.017
NLM
Sanches GM, Otto R, Adamchuk V, Magalhães PSG. Spatial variability of soil attributes by an electromagnetic induction sensor: a framework of multiple fields assessment under Brazilian soils [Internet]. Biosystems Engineering. 2022 ; 216 229-240.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.biosystemseng.2022.02.017
Vancouver
Sanches GM, Otto R, Adamchuk V, Magalhães PSG. Spatial variability of soil attributes by an electromagnetic induction sensor: a framework of multiple fields assessment under Brazilian soils [Internet]. Biosystems Engineering. 2022 ; 216 229-240.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.biosystemseng.2022.02.017
Artigo de periodico
The Brazilian soil mid-infrared spectral library: the power of the fundamental range (2022)
Mendes, Wanderson de Sousa ; Dematte, Jose Alexandre Melo ; Rosin, Nícolas Augusto ; Terra, Fabricio da Silva; Poppiel, Raul Roberto ; Urbina-Salazar, Diego Fernando ; Boechat, Cacio Luiz; Silva, Elisangela Benedet ; Curi, Nilton ; Silva, Sergio Henrique Godinho ; Santos, Uemeson José dos ; Valladares, Gustavo Souza
Source: Geoderma. Unidade: ESALQ
Subjects: ANÁLISE ESPECTRAL, CLASSIFICAÇÃO DO SOLO, ESPECTROSCOPIA INFRAVERMELHA, SOLOS
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ABNT
MENDES, Wanderson de Sousa et al. The Brazilian soil mid-infrared spectral library: the power of the fundamental range. Geoderma, v. 415, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.geoderma.2022.115776. Acesso em: 23 fev. 2026.
APA
Mendes, W. de S., Dematte, J. A. M., Rosin, N. A., Terra, F. da S., Poppiel, R. R., Urbina-Salazar, D. F., et al. (2022). The Brazilian soil mid-infrared spectral library: the power of the fundamental range. Geoderma, 415, 1-12. doi:10.1016/j.geoderma.2022.115776
NLM
Mendes W de S, Dematte JAM, Rosin NA, Terra F da S, Poppiel RR, Urbina-Salazar DF, Boechat CL, Silva EB, Curi N, Silva SHG, Santos UJ dos, Valladares GS. The Brazilian soil mid-infrared spectral library: the power of the fundamental range [Internet]. Geoderma. 2022 ; 415 1-12.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.geoderma.2022.115776
Vancouver
Mendes W de S, Dematte JAM, Rosin NA, Terra F da S, Poppiel RR, Urbina-Salazar DF, Boechat CL, Silva EB, Curi N, Silva SHG, Santos UJ dos, Valladares GS. The Brazilian soil mid-infrared spectral library: the power of the fundamental range [Internet]. Geoderma. 2022 ; 415 1-12.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1016/j.geoderma.2022.115776
Artigo de periodico
The Brazilian Soil Spectral Service (BraSpecS): a User-Friendly System for Global Soil Spectra Communication (2022)
Demattê, José Alexandre Melo ; Paiva, Ariane Francine da Silveira ; Poppiel, Raul Roberto ; Rosin, Nícolas Augusto ; Ruiz, Luis Fernando Chimelo ; Mello, Fellipe Alcantara de Oliveira ; Minasny, Budiman ; Grunwald, Sabine ; Ge, Yufeng; Ben Dor, Eyal ; Gholizadeh, Asa ; Gomez, Cecile ; Chabrillat, Sabine; Francos, Nicolas ; Ayoubi, Shamsollah ; Fiantis, Dian; Biney, James Kobina Mensah ; Wang, Changkun; Belal, Abdelaziz ; Naimi, Salman ; Hafshejani, Najmeh Asgari; Bellinaso, Henrique ; Moura-Bueno, Jean Michel; Silvero, Nélida E. Q
Source: Remote Sensing. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, ANÁLISE DO SOLO, ESPECTROSCOPIA INFRAVERMELHA, SOLOS
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ABNT
DEMATTÊ, José Alexandre Melo et al. The Brazilian Soil Spectral Service (BraSpecS): a User-Friendly System for Global Soil Spectra Communication. Remote Sensing, v. 14, p. 1-27, 2022Tradução . . Disponível em: https://doi.org/10.3390/rs14030740. Acesso em: 23 fev. 2026.
APA
Demattê, J. A. M., Paiva, A. F. da S., Poppiel, R. R., Rosin, N. A., Ruiz, L. F. C., Mello, F. A. de O., et al. (2022). The Brazilian Soil Spectral Service (BraSpecS): a User-Friendly System for Global Soil Spectra Communication. Remote Sensing, 14, 1-27. doi:10.3390/rs14030740
NLM
Demattê JAM, Paiva AF da S, Poppiel RR, Rosin NA, Ruiz LFC, Mello FA de O, Minasny B, Grunwald S, Ge Y, Ben Dor E, Gholizadeh A, Gomez C, Chabrillat S, Francos N, Ayoubi S, Fiantis D, Biney JKM, Wang C, Belal A, Naimi S, Hafshejani NA, Bellinaso H, Moura-Bueno JM, Silvero NEQ. The Brazilian Soil Spectral Service (BraSpecS): a User-Friendly System for Global Soil Spectra Communication [Internet]. Remote Sensing. 2022 ; 14 1-27.[citado 2026 fev. 23 ] Available from: https://doi.org/10.3390/rs14030740
Vancouver
Demattê JAM, Paiva AF da S, Poppiel RR, Rosin NA, Ruiz LFC, Mello FA de O, Minasny B, Grunwald S, Ge Y, Ben Dor E, Gholizadeh A, Gomez C, Chabrillat S, Francos N, Ayoubi S, Fiantis D, Biney JKM, Wang C, Belal A, Naimi S, Hafshejani NA, Bellinaso H, Moura-Bueno JM, Silvero NEQ. The Brazilian Soil Spectral Service (BraSpecS): a User-Friendly System for Global Soil Spectra Communication [Internet]. Remote Sensing. 2022 ; 14 1-27.[citado 2026 fev. 23 ] Available from: https://doi.org/10.3390/rs14030740

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