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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
22/09/2005 |
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Data da última atualização: |
17/01/2020 |
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Autoria: |
MASSRUHÁ, S. M. F. S.; SANDRI, S.; WAINER, J.; MORANDI, M. A. B. |
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Afiliação: |
SILVIA MARIA FONSECA S MASSRUHA, CNPTIA; SANDRA SANDRI, Institut d'Investigació en Intelligéncia Artificial, Belaterra, Spain; JACQUES WAINER, IC/Unicamp; MARCELO AUGUSTO BOECHAT MORANDI, CNPMA. |
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Título: |
An integrated framework for clinical problem solving in agriculture. |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
In: CONFERENCE OF THE EUROPEAN FEDERATION FOR INFORMATION TECHNOLOGY IN AGRICULTURE, FOOD AND ENVIRONMENT, 5.; WORLD CONGRESS ON COMPUTERS IN AGRICULTURE AND NATURAL RESOURCES, 3., 2005, Vila Real, Portugal. Book of abstracts... Vila Real, Portugal: Universidade de Trás-os-Montes e Alto Douro, 2005. |
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Páginas: |
p. 76. |
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Idioma: |
Inglês |
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Notas: |
EFITA/WCCA 2005. Poster Sessions. |
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Conteúdo: |
The goal of this paper is to give an overview of a general problem-solving framework for diagnosis, investigation and treatment tasks, that incorporates concepts of abductive inference, fuzzy set logic and decision theory. In this work we focus on the use of this framework in agriculture, with an illustration in corn plantations. The general framework models time durations and intensity of manifestations as fuzzy sets, and, in the particular case of agriculture, it takes into account the favorable conditions for the development of a given disorder and the severity of its manifestations to recommend a treatment, together with other important factors such as risk and cost. |
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Palavras-Chave: |
Abductive inference; Decision theory; Diagnosis; Fuzzy sets; Lógica difusa. |
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Thesagro: |
Agricultura. |
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Thesaurus Nal: |
Agriculture; Fuzzy logic. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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001 1000705
005 2020-01-17
008 2005 bl uuuu u00u1 u #d
100 1 $aMASSRUHÁ, S. M. F. S.
245 $aAn integrated framework for clinical problem solving in agriculture.$h[electronic resource]
260 $aIn: CONFERENCE OF THE EUROPEAN FEDERATION FOR INFORMATION TECHNOLOGY IN AGRICULTURE, FOOD AND ENVIRONMENT, 5.; WORLD CONGRESS ON COMPUTERS IN AGRICULTURE AND NATURAL RESOURCES, 3., 2005, Vila Real, Portugal. Book of abstracts... Vila Real, Portugal: Universidade de Trás-os-Montes e Alto Douro$c2005
300 $ap. 76.
500 $aEFITA/WCCA 2005. Poster Sessions.
520 $aThe goal of this paper is to give an overview of a general problem-solving framework for diagnosis, investigation and treatment tasks, that incorporates concepts of abductive inference, fuzzy set logic and decision theory. In this work we focus on the use of this framework in agriculture, with an illustration in corn plantations. The general framework models time durations and intensity of manifestations as fuzzy sets, and, in the particular case of agriculture, it takes into account the favorable conditions for the development of a given disorder and the severity of its manifestations to recommend a treatment, together with other important factors such as risk and cost.
650 $aAgriculture
650 $aFuzzy logic
650 $aAgricultura
653 $aAbductive inference
653 $aDecision theory
653 $aDiagnosis
653 $aFuzzy sets
653 $aLógica difusa
700 1 $aSANDRI, S.
700 1 $aWAINER, J.
700 1 $aMORANDI, M. A. B.
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Embrapa Agricultura Digital (CNPTIA) |
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| 1. |  | LIMA, P. C. F.; KIILL, L. H. P.; SILVA, I. V. T.; OLIVEIRA, M. G.; MONTEIRO, S. P.; IGLESIAS, D. L. de A. Análise da estrutura de vegetação de caatinga no município de Inajá, Pernambuco. In: CONGRESSO NACIONAL, 55., ENCONTRO REGIONAL DE BOTÂNICOS DE MG, BA E ES, 26., 2004, Viçosa, MG. Livro de resumos... Viçosa, MG: SBB: UFV, 2004. 1 CD-ROM.| Tipo: Resumo em Anais de Congresso |
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