Título:	Soil data curation with the help of an expert system for soil classification.
Autor:	VAZ, G. J. SILVA JÚNIOR, A. F. SILVA NETO, L. de F. da
Afiliación:	GLAUBER JOSE VAZ, CNPTIA; ADALBERTO F. SILVA JÚNIOR, UFRPE; LUIS DE FRANCA DA SILVA NETO, CNPS.
Año:	2022
Referencia:	In: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online.
Descripción:	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.
NAL Thesaurus:	Soil profiles Expert systems
Palabras clave:	Curadoria de dados de solos Qualidade de dados Perfis de solos Ferramenta digital Sistema especialista Classificação de solo Digital tool Data quality
ISBN:	978-65-00-38567-0
Tipo de Material:	Artigo em anais e proceedings
Acceso:	openAccess
Aparece en las colecciones:	Artigo em anais de congresso (CNPTIA)