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dc.contributor.authorVAZ, G. J.
dc.contributor.authorSILVA JÚNIOR, A. F.
dc.contributor.authorSILVA NETO, L. de F. da
dc.date.accessioned2022-02-14T18:00:58Z-
dc.date.available2022-02-14T18:00:58Z-
dc.date.created2022-02-14
dc.date.issued2022
dc.identifier.citationIn: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online.
dc.identifier.isbn978-65-00-38567-0
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1140016-
dc.descriptionWe 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.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectCuradoria de dados de solos
dc.subjectQualidade de dados
dc.subjectPerfis de solos
dc.subjectFerramenta digital
dc.subjectSistema especialista
dc.subjectClassificação de solo
dc.subjectDigital tool
dc.subjectData quality
dc.titleSoil data curation with the help of an expert system for soil classification.
dc.typeArtigo em anais e proceedings
dc.subject.nalthesaurusSoil profiles
dc.subject.nalthesaurusExpert systems
riaa.ainfo.id1140016
riaa.ainfo.lastupdate2022-02-14
dc.contributor.institutionGLAUBER JOSE VAZ, CNPTIA; ADALBERTO F. SILVA JÚNIOR, UFRPE; LUIS DE FRANCA DA SILVA NETO, CNPS.
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