Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/340586
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampBocca, Felipe Ferreira-
dc.contributor.authorunicampRodrigues, Luiz Henrique Antunes-
dc.typeArtigopt_BR
dc.titleIdentification of patterns for increasing production with decision trees in sugarcane mill datapt_BR
dc.contributor.authorPeloia, Paulo Rodrigues-
dc.contributor.authorBoccae, Felipe Ferreira-
dc.contributor.authorAntunes Rodrigues, Luiz Henrique-
dc.subjectMineração de dadospt_BR
dc.subject.otherlanguageData miningpt_BR
dc.description.abstractSugarcane 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 experimentspt_BR
dc.relation.ispartofScientia agricolapt_BR
dc.relation.ispartofabbreviationSci. agric.pt_BR
dc.publisher.cityPiracicaba, SPpt_BR
dc.publisher.countryBrasilpt_BR
dc.publisherUniversidade de São Paulo/Escola Superior de Agricultura "Luiz de Queiroz"pt_BR
dc.date.issued2019-
dc.date.monthofcirculationJuly/Aug.pt_BR
dc.language.isoengpt_BR
dc.description.volume76pt_BR
dc.description.issuenumber4pt_BR
dc.description.firstpage281pt_BR
dc.description.lastpage289pt_BR
dc.rightsAbertopt_BR
dc.sourceWOSpt_BR
dc.identifier.eissn1678-992Xpt_BR
dc.identifier.doi10.1590/1678-992X-2017-0239pt_BR
dc.identifier.urlhttps://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019001400281pt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPpt_BR
dc.description.sponsordocumentnumber2012/50049-3pt_BR
dc.date.available2020-05-11T17:47:15Z-
dc.date.accessioned2020-05-11T17:47:15Z-
dc.description.provenanceSubmitted by Sanches Olivia (olivias@unicamp.br) on 2020-05-11T17:47:15Z No. of bitstreams: 0. Added 1 bitstream(s) on 2020-08-27T19:16:03Z : No. of bitstreams: 1 000461950600003.pdf: 645460 bytes, checksum: b83710fa0848c6df81e086206e742c2f (MD5)en
dc.description.provenanceMade available in DSpace on 2020-05-11T17:47:15Z (GMT). No. of bitstreams: 0 Previous issue date: 2019en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/340586-
dc.contributor.departmentsem informaçãopt_BR
dc.contributor.departmentsem informaçãopt_BR
dc.contributor.unidadeFaculdade de Engenharia Agrícolapt_BR
dc.contributor.unidadeFaculdade de Engenharia Agrícolapt_BR
dc.subject.keywordYield variabilitypt_BR
dc.subject.keywordRegression treept_BR
dc.subject.keywordKnowledge discoverypt_BR
dc.identifier.source000461950600003pt_BR
dc.creator.orcid0000-0003-2956-5286pt_BR
dc.creator.orcid0000-0002-1756-7367pt_BR
dc.type.formArtigopt_BR
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