Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/340586
Type: Artigo
Title: Identification of patterns for increasing production with decision trees in sugarcane mill data
Author: Peloia, Paulo Rodrigues
Boccae, Felipe Ferreira
Antunes Rodrigues, Luiz Henrique
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 (R-2 = 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 which will increase production by almost 2 % were suitable for recommendation. The method was successful in reproducing the knowledge of experts of the factors which influence sugarcane yield, and the decision trees can support the decision-making process in the context of production and the formulation of hypotheses for specific experiments
Subject: Mineração de dados
Country: Brasil
Editor: Universidade de São Paulo/Escola Superior de Agricultura "Luiz de Queiroz"
Rights: Aberto
Identifier DOI: 10.1590/1678-992X-2017-0239
Address: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019001400281
Date Issue: 2019
Appears in Collections:FEAGRI - Artigos e Outros Documentos

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