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| Registros recuperados : 646 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
22/02/2022 |
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Data da última atualização: |
24/02/2022 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
VASQUES, G. de M.; RODRIGUES, H. M.; TAVARES, S. R. de L.; HERNANI, L. C.; OLIVEIRA, R. P. de. |
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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. |
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Título: |
An optimized sample for assessing soil property variations across the field and within management zones efficiently. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online. |
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Idioma: |
Inglês |
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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. |
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Palavras-Chave: |
Proximal soil sensing; Spatial simulated annealing; Spatial trends. |
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Thesagro: |
Agricultura de Precisão; Sensoriamento Remoto. |
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Thesaurus NAL: |
Precision agriculture; Remote sensing. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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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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