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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
24/07/2014 |
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Data da última atualização: |
08/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
RIBEIRO, M. V.; CUNHA, L. M. S.; CAMARGO, H. A.; RODRIGUES, L. H. A. |
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Afiliação: |
MARIANA V. RIBEIRO, UFSCar; LUIZ MANOEL SILVA CUNHA, CNPTIA, Feagri/Unicamp; HELOISA A. CAMARGO, UFSCar; LUIZ HENRIQUE A. RODRIGUES, Feagri/Unicamp. |
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Título: |
Applying a fuzzy decision tree approach to soil classification. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, 15., 2014, Montpellier. Proceedings... Cham: Springer, 2014. |
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Páginas: |
p. 87-96. Part I. |
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Série: |
(Communications in computer and information science, 442). |
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ISBN: |
978-3-319-08794-8 |
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Idioma: |
Inglês |
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Notas: |
Editores: Anne Laurent Olivier Strauss, Bernadette Bouchon-Meunier, Ronald R. Yager. IPMU 2014. |
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Conteúdo: |
Abstract. As one of the most important factors that interfere in peoples life, the soil is characterized by quantitative and qualitative features which describe not only the soil itself, but also the environment, the weather and the vegetation around it. Different types of soil can be identified by means of these features. A good soil classification is very important to get a better use of the soil. Soil classification, when performed manually by experts, is not a simple task, as long as the experts opinions may vary considerably. Besides, different types of soil cannot be defined deterministically. With the objective of exploring an alternative approach towards solving this problem, we investigated in this paper the application of an automatic procedure to generate a soil classifier from data, using a fuzzy decision tree induction algorithm. In order to compare the results obtained by means of the fuzzy decision tree classifier, we used two well known methods for classifiers generation: the classic decision tree induction algorithm C4.5 and the fuzzy rules induction algorithm named FURIA. |
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Palavras-Chave: |
Árvore de decisão; Decision tree; Sistema de classificação do solo; Sistemas fuzzy. |
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Thesagro: |
Classificação do solo. |
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Thesaurus Nal: |
Fuzzy logic; Soil classification. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02174nam a2200277 a 4500
001 1991262
005 2020-01-08
008 2014 bl uuuu u00u1 u #d
020 $a978-3-319-08794-8
100 1 $aRIBEIRO, M. V.
245 $aApplying a fuzzy decision tree approach to soil classification.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, 15., 2014, Montpellier. Proceedings... Cham: Springer$c2014
300 $ap. 87-96. Part I.
490 $a(Communications in computer and information science, 442).
500 $aEditores: Anne Laurent Olivier Strauss, Bernadette Bouchon-Meunier, Ronald R. Yager. IPMU 2014.
520 $aAbstract. As one of the most important factors that interfere in peoples life, the soil is characterized by quantitative and qualitative features which describe not only the soil itself, but also the environment, the weather and the vegetation around it. Different types of soil can be identified by means of these features. A good soil classification is very important to get a better use of the soil. Soil classification, when performed manually by experts, is not a simple task, as long as the experts opinions may vary considerably. Besides, different types of soil cannot be defined deterministically. With the objective of exploring an alternative approach towards solving this problem, we investigated in this paper the application of an automatic procedure to generate a soil classifier from data, using a fuzzy decision tree induction algorithm. In order to compare the results obtained by means of the fuzzy decision tree classifier, we used two well known methods for classifiers generation: the classic decision tree induction algorithm C4.5 and the fuzzy rules induction algorithm named FURIA.
650 $aFuzzy logic
650 $aSoil classification
650 $aClassificação do solo
653 $aÁrvore de decisão
653 $aDecision tree
653 $aSistema de classificação do solo
653 $aSistemas fuzzy
700 1 $aCUNHA, L. M. S.
700 1 $aCAMARGO, H. A.
700 1 $aRODRIGUES, L. H. A.
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| 1. |  | MARCHIORI, L. F. S.; STENICO, L.; SILVA, F. C. da; PAMELA, K.; CAMPOS, R. de. Avaliação da produtividade agrotecnológica do sorgo sacarino em diferentes épocas de semeadura e sistema de plantio na reforma do canavial. STAB, Piracicaba, v. 35, n. 1, p. 18, set./out. 2016. Edição dos Resumos do 10o. Congresso Nacional da STAB, Ribeirão Preto, set. 2016.| Biblioteca(s): Embrapa Agricultura Digital. |
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