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	Provedor de dados Scientia Agricola (2) Autor Bocca,Felipe Ferreira (2) Assad,Eduardo Delgado (1) Boschi,Raquel Stucchi (1) Lopes-Assad,Maria Leonor Ribeiro Casimiro (1) Peloia,Paulo Rodrigues (1) Rodrigues,Luiz Henrique Antunes (1) Mais... Palavra-chave Data mining (1) Knowledge discovery (1) Model evaluation (1) REC curve (1) Regression tree (1) Soil database (1) Tropical soil (1) Yield variability (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2019 (1) 2018 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última How accurate are pedotransfer functions for bulk density for Brazilian soils? Scientia Agricola Boschi,Raquel Stucchi; Bocca,Felipe Ferreira; Lopes-Assad,Maria Leonor Ribeiro Casimiro; Assad,Eduardo Delgado. ABSTRACT: The aim of this study was to evaluate the performance of pedotransfer functions (PTFs) available in the literature to estimate soil bulk density (ρb) in different regions of Brazil, using different metrics. The predictive capacity of 25 PTFs was evaluated using the mean absolute error (MAE), mean error (ME), root mean squared error (RMSE), coefficient of determination (R2) and the regression error characteristic (REC) curve. The models performed differently when comparing observed and estimated ρb values. In general, the PTFs showed a performance close to the mean value of the bulk density data, considered as the simplest possible estimation of an attribute and used as a parameter to compare the performance of existing models (null model). The... Tipo: Info:eu-repo/semantics/article Palavras-chave: REC curve; Model evaluation; Soil database; Tropical soil. Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162018000100070 Identification of patterns for increasing production with decision trees in sugarcane mill data Scientia Agricola Peloia,Paulo Rodrigues; Bocca,Felipe Ferreira; Rodrigues,Luiz Henrique Antunes. ABSTRACT: Sugarcane mills in Brazil collect a vast amount of data relating to production on an annual basis. The analysis of this type of database is complex, especially when factors relating to varieties, climate, detailed management techniques, and edaphic conditions are taken into account. The aim of this paper was to perform a decision tree analysis of a detailed database from a production unit and to evaluate the actionable patterns found in terms of their usefulness for increasing production. The decision tree revealed interpretable patterns relating to sugarcane yield (R2 = 0.617), certain of which were actionable and had been previously studied and reported in the literature. Based on two actionable patterns relating to soil chemistry, intervention... Tipo: Info:eu-repo/semantics/article Palavras-chave: Data mining; Yield variability; Regression tree; Knowledge discovery. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019001400281 Registros recuperados: 2 Primeira ... 1 ... Última

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