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| 2. |  | SAIFERT, L.; SÁNCHEZ-MORA, F. D.; ASSUMPÇÃO, W. T.; ZANGHELINI, J. A.; GIACOMETTI, R.; NOVAK, E. I.; DAL VESCO, L. L.; NODARI, R. O.; EIBACH, R.; WELTER, L. J. Marker-assisted pyramiding of resistance loci to grape downy mildew. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 53, n. 5, p. 602-610, maio, 2018. Título em português: Piramidação de locos de resistência ao míldio-da-videira assistida por marcadores.| Biblioteca(s): Embrapa Unidades Centrais. |
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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. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
23/11/2011 |
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Data da última atualização: |
13/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
CINTRA, M. E.; MEIRA, C. A. A.; MONARD, M. C.; CAMARGO, H. A.; RODRIGUES, L. H. A. |
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Afiliação: |
MARCOS E. CINTRA, USP; CARLOS ALBERTO ALVES MEIRA, CNPTIA; MARIA C. MONARD, USP; HELOISA A. CAMARGO, UFSCAR; LUIZ H. A. RODRIGUES, UNICAMP. |
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Título: |
The use of fuzzy decision trees for coffee rust warning in Brazilian crops. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, 11., 2011, Córdoba. Proceedings... Piscataway: IEEE, 2011. |
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Páginas: |
p. 1347-1352. |
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Idioma: |
Inglês |
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Notas: |
ISDA 2011. |
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Conteúdo: |
Abstract - This paper proposes the use of fuzzy decision trees for coffee rust warning, the most economically important coffee disease in the world. The models were induced using field data collected during 8 years. Using different subsets of attributes from the original data, three distinct datasets were constructed. The class attribute, representing the monthly infection rate, was used to construct six datasets according to two distinct infection rates. Induced models can be used to trigger alerts when estimated monthly disease infection rates reach one of the two thresholds. The first threshold allows applying preventive actions, whereas the second one requires a curative action. The fuzzy decision tree models were compared to the ones induced by a classic decision tree algorithm, taking into account the accuracy and the syntactic complexity of the models, as well as its quality according to an expert opinion. The fuzzy models showed better accuracy power and interpretability. |
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Palavras-Chave: |
Aprendizado de máquina; Árvores de decisão; Coffee; Ferrugem do cafeeiro; Lógica fuzzy. |
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Thesagro: |
Café. |
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Thesaurus NAL: |
Fuzzy logic; Rust diseases. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
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001 1906946
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008 2011 bl uuuu u00u1 u #d
100 1 $aCINTRA, M. E.
245 $aThe use of fuzzy decision trees for coffee rust warning in Brazilian crops.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, 11., 2011, Córdoba. Proceedings... Piscataway: IEEE$c2011
300 $ap. 1347-1352.
500 $aISDA 2011.
520 $aAbstract - This paper proposes the use of fuzzy decision trees for coffee rust warning, the most economically important coffee disease in the world. The models were induced using field data collected during 8 years. Using different subsets of attributes from the original data, three distinct datasets were constructed. The class attribute, representing the monthly infection rate, was used to construct six datasets according to two distinct infection rates. Induced models can be used to trigger alerts when estimated monthly disease infection rates reach one of the two thresholds. The first threshold allows applying preventive actions, whereas the second one requires a curative action. The fuzzy decision tree models were compared to the ones induced by a classic decision tree algorithm, taking into account the accuracy and the syntactic complexity of the models, as well as its quality according to an expert opinion. The fuzzy models showed better accuracy power and interpretability.
650 $aFuzzy logic
650 $aRust diseases
650 $aCafé
653 $aAprendizado de máquina
653 $aÁrvores de decisão
653 $aCoffee
653 $aFerrugem do cafeeiro
653 $aLógica fuzzy
700 1 $aMEIRA, C. A. A.
700 1 $aMONARD, M. C.
700 1 $aCAMARGO, H. A.
700 1 $aRODRIGUES, L. H. A.
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