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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
02/10/2008 |
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Data da última atualização: |
16/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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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 SILVEIRA MASSRUHÁ, CNPTIA; SANDRA SANDRI, Istitut d´Investigació en Inteliggéncia Artificial; JACQUES WAINER, Unicamp; MARCELO AUGUSTO BOECHAT MORANDI, CNPMA. |
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Título: |
A fuzzy and abductive framework for clinical problem-solving tasks of treatment in agriculture. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE OF THE ASIAN FEDERATION FOR INFORMATION TECHNOLOGY IN AGRICULTURE, 4., 2006, Bangalore. Proceedings... India: Macmillan, 2006. |
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Páginas: |
p. 325-334. |
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Idioma: |
Inglês |
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Notas: |
AFITA/WCCA 2006. |
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Conteúdo: |
This paper discusses about problem-solving treatment tasks in a general framework that supports the tasks of diagnosis, investigation and treatments of disorders in plantations. In this paper we focus on the use of a framework that incorporates concepts of abductive inference, fuzzy set logic and decision theory for the tasks of treatment, with an illustration in corn plantations. Here, the knowledege is modeled as graphs in which the arcs are from treatments to diagnoses and inference is also abductive. This framework also models time durations and intensity of manifestations as fuzzy sets, and, in the partucular 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; Desordens; Doença da planta; Inferência abdutiva; Métodos de controle. |
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Thesagro: |
Agricultura. |
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Thesaurus Nal: |
Agriculture; control methods; Fuzzy logic; Plant diseases and disorders; plant pathology. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01851nam a2200301 a 4500
001 1009661
005 2020-01-16
008 2006 bl uuuu u00u1 u #d
100 1 $aMASSRUHÁ, S. M. F. S.
245 $aA fuzzy and abductive framework for clinical problem-solving tasks of treatment in agriculture.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE OF THE ASIAN FEDERATION FOR INFORMATION TECHNOLOGY IN AGRICULTURE, 4., 2006, Bangalore. Proceedings... India: Macmillan$c2006
300 $ap. 325-334.
500 $aAFITA/WCCA 2006.
520 $aThis paper discusses about problem-solving treatment tasks in a general framework that supports the tasks of diagnosis, investigation and treatments of disorders in plantations. In this paper we focus on the use of a framework that incorporates concepts of abductive inference, fuzzy set logic and decision theory for the tasks of treatment, with an illustration in corn plantations. Here, the knowledege is modeled as graphs in which the arcs are from treatments to diagnoses and inference is also abductive. This framework also models time durations and intensity of manifestations as fuzzy sets, and, in the partucular 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 $acontrol methods
650 $aFuzzy logic
650 $aPlant diseases and disorders
650 $aplant pathology
650 $aAgricultura
653 $aAbductive inference
653 $aDesordens
653 $aDoença da planta
653 $aInferência abdutiva
653 $aMétodos de controle
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. |  | LATAWIEC, A. E.; RODRIGUES, A. F.; KORYS, K. A.; MENDES, M.; RANGEL, M.; CASTRO, A.; TEIXEIRA, W. G.; VALENTIM, J. F.; ARAUJO, E. da S.; MORAES, L. F. D. de; PACHECO, V.; MENDES, M.; DELA PICCOLLA, C.; STRASSBURG, B.; KUBON, M.; DROSIK, A.; GOMES, F. D.; REID, B.; KRIEGER, J. M.; DIB, V.; ZMARZLY, D.; SILVA NETO, E. C. da. Biochar and forage peanut improve pastures: evidence from a field experiment in Brazil. Agriculture, Ecosystems & Environment, v. 353, 108534, Sept. 2023.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Acre; Embrapa Agrobiologia; Embrapa Solos. |
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| 2. | | LATAWIEC, A. E.; RODRIGUES, A. F.; KORYS, K. A.; MENDES, M.; RANGEL, M.; CASTRO, A.; TEIXEIRA, W. G.; VALENTIM, J. F.; ARAUJO, E. da S.; MORAES, L. F. D. de; PAHECO, V.; MENDES, M.; DELA PICCOLLA, C.; STRASSBURG, B.; KUBON, M.; DROSIK, A.; GOMES, F. D.; REID, B.; KRIEGER, J. M.; DIB, V.; ZMARZLY, D.; SILVA NETO, E. C. da. Biochar and forage peanut improve pastures: evidence from a field experiment in Brazil. Agriculture, Ecosystems & Environment, v. 353, 108534, Sept. 2023.| Biblioteca(s): Embrapa Solos / UEP-Recife. |
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| 3. | | RODRIGUES, A. F.; LATAWIEC, A. E.; REID, B. J.; SOLÓRZANO, A.; SCHULER, A. E.; LACERDA, C.; FIDALGO, E. C. C.; SCARANO, F. R.; TUBENCHLAK, F.; PENA, I.; VICENTE-VICENTE, J. L.; KORYS, K. A.; COOPER, M.; FERNANDES, N. F.; PRADO, R. B.; MAIOLI, V.; DIB, V.; TEIXEIRA, W. G. Systematic review of soil ecosystem services in tropical regions. Royal Society Open Science, v. 8, n. 3, 201584, Mar. 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 3 | |
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