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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
10/08/2011 |
Data da última atualização: |
22/09/2011 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SILVA, F. C. da; MASSRUHÁ, S. M. F. S.; DEUS, R. S. de; SANTOS, A. D. dos; BARBIERI, V.; CRUZ, S. A. B. da; MALAVOLTA, E. |
Afiliação: |
FABIO CESAR DA SILVA, CNPTIA; SILVIA MARIA FONSECA SILVEIRA MASSRUHÁ, CNPTIA; ADRIANA DELFINO DOS SANTOS, CNPTIA; ESALQ/USP; SERGIO APARECIDO BRAGA DA CRUZ, CNPTIA; CENA/USP (In Memorian). |
Título: |
A web-based expert system for diagnosis of nutritional deficiency in sugarcane. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
Bioenergia em Revista: Diálogos, Piracicaba, v. 1, n. 1, p. 26-48, jan./jun. 2011. |
Idioma: |
Inglês |
Conteúdo: |
This paper presents a web-based expert system for diagnosis of plant nutrient disorders in sugarcane. This system aims to provide a guide to identification of essential and functional plant nutrient disorders in sugarcane to avoid deficiency and to solve nutritional problems arising from the development of this culture. It is directed toward the sugarcane farmer, research scientist, extension specialist, student, and consultant. The first version of system was developed using the virtual diagnosis framework developed by Embrapa and CENA/USP. The adopted development methodology and the current status of the system for diagnosis of nutritional deficiency in sugarcane are discussed in this paper. The experience acquired in the development of this expert system and applications are also presented. |
Palavras-Chave: |
Deficiência nutricional em cana-de-açúcar; Inferência dedutiva; Inteligência artificial; Sistema especialista para internet. |
Thesaurus Nal: |
Artificial intelligence; Expert systems; Saccharum; Sugarcane. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/39535/1/11-49-1-PB.pdf
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Marc: |
LEADER 01725naa a2200289 a 4500 001 1897665 005 2011-09-22 008 2011 bl uuuu u00u1 u #d 100 1 $aSILVA, F. C. da 245 $aA web-based expert system for diagnosis of nutritional deficiency in sugarcane.$h[electronic resource] 260 $c2011 520 $aThis paper presents a web-based expert system for diagnosis of plant nutrient disorders in sugarcane. This system aims to provide a guide to identification of essential and functional plant nutrient disorders in sugarcane to avoid deficiency and to solve nutritional problems arising from the development of this culture. It is directed toward the sugarcane farmer, research scientist, extension specialist, student, and consultant. The first version of system was developed using the virtual diagnosis framework developed by Embrapa and CENA/USP. The adopted development methodology and the current status of the system for diagnosis of nutritional deficiency in sugarcane are discussed in this paper. The experience acquired in the development of this expert system and applications are also presented. 650 $aArtificial intelligence 650 $aExpert systems 650 $aSaccharum 650 $aSugarcane 653 $aDeficiência nutricional em cana-de-açúcar 653 $aInferência dedutiva 653 $aInteligência artificial 653 $aSistema especialista para internet 700 1 $aMASSRUHÁ, S. M. F. S. 700 1 $aDEUS, R. S. de 700 1 $aSANTOS, A. D. dos 700 1 $aBARBIERI, V. 700 1 $aCRUZ, S. A. B. da 700 1 $aMALAVOLTA, E. 773 $tBioenergia em Revista: Diálogos, Piracicaba$gv. 1, n. 1, p. 26-48, jan./jun. 2011.
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Embrapa Agricultura Digital (CNPTIA) |
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1. | | VIANA, D. de L.; CROSARIOL NETTO, J.; AGUIRRE-GIL, O.; BUSOLI, A. C. Parâmetros biológicos da lagarta fasa-medideira em cultivares de algodoeiro com as proteíncas Cry1Ac e Cry1F. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 49, n. 7, p. 569-572, jul. 2014. Notas científicas.
Título em inglês: Biological parameters of soybean looper in cotton cultivars with the Cry1Ac and Cry1F proteins.Biblioteca(s): Embrapa Unidades Centrais. |
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