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Registro Completo |
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
22/02/2022 |
Data da última atualização: |
24/02/2022 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
VASQUES, G. de M.; RODRIGUES, H. M.; TAVARES, S. R. de L.; HERNANI, L. C.; OLIVEIRA, R. P. de. |
Afiliação: |
GUSTAVO DE MATTOS VASQUES, CNPS; HUGO MACHADO RODRIGUES, UFRRJ; SILVIO ROBERTO DE LUCENA TAVARES, CNPS; LUIS CARLOS HERNANI, CNPS; RONALDO PEREIRA DE OLIVEIRA, CNPS. |
Título: |
An optimized sample for assessing soil property variations across the field and within management zones efficiently. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
In: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online. |
Idioma: |
Inglês |
Conteúdo: |
An optimized sampling design to assess soil property variation across the field and within management zones is proposed and validated in a 72-ha crop field in southeastern Brazil. An optimized sample (18 sites) was derived by spatial simulated annealing from proximal sensor covariates. Soil properties were measured at 0-10 cm and validated against those measured at 72 sites on a regular grid. The optimized and regular grid samples had equal global spatial trend models and means for soil clay, pH and exchangeable Ca, Mg and K, and different ones for organic C and available P. Within zones, equal means between sampling designs were found for all soil properties in the ?North? zone, and for most properties in the other two zones. Soil property correlations against proximal sensor variables were honored by the optimized samples in most cases, both globally and within zones. The optimized soil sample reduces costs while keeping most soil information for guiding management decisions. |
Palavras-Chave: |
Proximal soil sensing; Spatial simulated annealing; Spatial trends. |
Thesagro: |
Agricultura de Precisão; Sensoriamento Remoto. |
Thesaurus Nal: |
Precision agriculture; Remote sensing. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/231718/1/An-optimized-sample-for-assessing-soil-property-variations-2022.pdf
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Marc: |
LEADER 01870nam a2200241 a 4500 001 2140307 005 2022-02-24 008 2022 bl uuuu u00u1 u #d 100 1 $aVASQUES, G. de M. 245 $aAn optimized sample for assessing soil property variations across the field and within management zones efficiently.$h[electronic resource] 260 $aIn: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online.$c2022 520 $aAn optimized sampling design to assess soil property variation across the field and within management zones is proposed and validated in a 72-ha crop field in southeastern Brazil. An optimized sample (18 sites) was derived by spatial simulated annealing from proximal sensor covariates. Soil properties were measured at 0-10 cm and validated against those measured at 72 sites on a regular grid. The optimized and regular grid samples had equal global spatial trend models and means for soil clay, pH and exchangeable Ca, Mg and K, and different ones for organic C and available P. Within zones, equal means between sampling designs were found for all soil properties in the ?North? zone, and for most properties in the other two zones. Soil property correlations against proximal sensor variables were honored by the optimized samples in most cases, both globally and within zones. The optimized soil sample reduces costs while keeping most soil information for guiding management decisions. 650 $aPrecision agriculture 650 $aRemote sensing 650 $aAgricultura de Precisão 650 $aSensoriamento Remoto 653 $aProximal soil sensing 653 $aSpatial simulated annealing 653 $aSpatial trends 700 1 $aRODRIGUES, H. M. 700 1 $aTAVARES, S. R. de L. 700 1 $aHERNANI, L. C. 700 1 $aOLIVEIRA, R. P. de
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Embrapa Solos (CNPS) |
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Registros recuperados : 31 | |
7. | | RODRIGUES, H. M.; VASQUES, G. M.; LEMES, M. W.; ROSAS, R. O. Avaliação do escoamento superficial e da perda de solo sob diferentes coberturas e declividades em Silva Jardim, RJ. In: SIMPÓSIO BRASILEIRO DE GEOGRAFIA FÍSICA APLICADA, 16., 2015, Teresina. Territórios brasileiros: dinâmicas, potencialidades e vulnerabilidades: anais. Teresina: UESPI, 2015. p. 2797-2803.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Solos. |
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10. | | VASQUES, G. de M.; RODRIGUES, H. M.; TAVARES, S. R. de L.; COELHO, M. R. Predicting soil clay content from NIR, gamma-ray and XRF curves. In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: proceedings... Viçosa, MG: SBCS, 2019. v. 2, p. 535-536. WCSS 2018.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Solos. |
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16. | | LEMES, M.; MACHADO, A.; VASQUES, G. de M.; RODRIGUES, H. M.; LOPES, R. T.; ROSAS, R. O. Influence of soil cover on pore distribution in a Ferralsol evaluated by 3D computerized microCT. In: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Solos. |
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20. | | LEMES, M. W. A.; VASQUES, G. de M.; MACHADO, A. S.; RODRIGUES, H. M.; LOPES, R. T.; ROSAS, R. O. X-ray computed microtomography against retention curve for assessing porosity in Latossolos (Ferralsols) with contrasting vegetation cover. In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: proceedings... Viçosa, MG: SBCS, 2019. v. 2, p. 19-20. WCSS 2018.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Solos. |
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Registros recuperados : 31 | |
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