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	Provedor de dados Scientia Agricola (2) Autor Peloia,Paulo Rodrigues (2) Bocca,Felipe Ferreira (1) Milan,Marcos (1) Rodrigues,Luiz Henrique Antunes (1) Romanelli,Thiago Libório (1) Palavra-chave Data mining (1) Knowledge discovery (1) Mechanization (1) Regression tree (1) Statistical process control (1) Sugar cane harvester (1) Yield variability (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2019 (1) 2010 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Capacity of the mechanical harvesting process of sugar cane billets Scientia Agricola Peloia,Paulo Rodrigues; Milan,Marcos; Romanelli,Thiago Libório. The mechanized harvest of sugar cane (Saccharum officinarum L.) in Brazil is an irreversible trend and it comes with a great concern about the quality of the cane delivered to the industry. A key component to quality is the billet length which affects the processing of raw material, cane deterioration, invisible losses and load density of transport vehicles. Thus, due to the importance of the billet standard in quality and cost of raw material, this study aimed to evaluate if the mechanized harvesting of sugar cane can supply the quality requirements for the crushing process, regarding the billet length. A plot with burnt sugar cane (3.2 ha) and another one with green sugar cane (8.0 ha) were selected to be harvested by two (2) self-propelled sugar cane... Tipo: Info:eu-repo/semantics/article Palavras-chave: Mechanization; Sugar cane harvester; Statistical process control. Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162010000600001 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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