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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
14/02/2022 |
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Data da última atualização: |
15/02/2022 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
VAZ, G. J.; SILVA JÚNIOR, A. F.; SILVA NETO, L. de F. da. |
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Afiliação: |
GLAUBER JOSE VAZ, CNPTIA; ADALBERTO F. SILVA JÚNIOR, UFRPE; LUIS DE FRANCA DA SILVA NETO, CNPS. |
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Título: |
Soil data curation with the help of an expert system for soil classification. |
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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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ISBN: |
978-65-00-38567-0 |
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Idioma: |
Inglês |
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Conteúdo: |
We used an expert system for soil classification to curate soil data and improve its quality. The system is the first to accurately classify soil profiles to the fourth level of the current version of the Brazilian Soil Classification System (SiBCS). We analyzed 94 soil profiles using the expert system, which guided the necessary changes on soil data to make it consistent with the corresponding classifications. About 45% of soil profiles did not require data treatment, and most changes were related to horizon symbols. Even after data treatment, changes in classification were necessary for almost 40% of the profiles on at least one categorical level. Therefore, using an expert system for soil classification can help identify inconsistencies in data and classifications of soil profiles, in addition to guiding the necessary changes. It can also help improve the SiBCS. |
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Palavras-Chave: |
Classificação de solo; Curadoria de dados de solos; Data quality; Digital tool; Ferramenta digital; Perfis de solos; Qualidade de dados; Sistema especialista. |
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Thesaurus Nal: |
Expert systems; Soil profiles. |
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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/231275/1/PC-Soil-data-curation-Pedometrics-2022.pdf
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Marc: |
LEADER 01766nam a2200265 a 4500
001 2140016
005 2022-02-15
008 2022 bl uuuu u00u1 u #d
020 $a978-65-00-38567-0
100 1 $aVAZ, G. J.
245 $aSoil data curation with the help of an expert system for soil classification.$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 $aWe used an expert system for soil classification to curate soil data and improve its quality. The system is the first to accurately classify soil profiles to the fourth level of the current version of the Brazilian Soil Classification System (SiBCS). We analyzed 94 soil profiles using the expert system, which guided the necessary changes on soil data to make it consistent with the corresponding classifications. About 45% of soil profiles did not require data treatment, and most changes were related to horizon symbols. Even after data treatment, changes in classification were necessary for almost 40% of the profiles on at least one categorical level. Therefore, using an expert system for soil classification can help identify inconsistencies in data and classifications of soil profiles, in addition to guiding the necessary changes. It can also help improve the SiBCS.
650 $aExpert systems
650 $aSoil profiles
653 $aClassificação de solo
653 $aCuradoria de dados de solos
653 $aData quality
653 $aDigital tool
653 $aFerramenta digital
653 $aPerfis de solos
653 $aQualidade de dados
653 $aSistema especialista
700 1 $aSILVA JÚNIOR, A. F.
700 1 $aSILVA NETO, L. de F. da
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Embrapa Agricultura Digital (CNPTIA) |
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