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Registro Completo |
Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
11/12/2015 |
Data da última atualização: |
11/12/2015 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
PEIXOTO, L. F.; FILIPPI, M. C. C. de. |
Afiliação: |
LORENA FERREIRA PEIXOTO, mestranda UFG; MARTA CRISTINA CORSI DE FILIPPI, CNPAF. |
Título: |
Produção in vitro da fase sexuada de Magnaporthe sp. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
In: SEMINÁRIO JOVENS TALENTOS, 8., 2014, Santo Antônio de Goiás. Coletânea dos resumos apresentados. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2014. |
Páginas: |
p. 113. |
Série: |
(Embrapa Arroz e Feijão. Documentos, 306). |
Idioma: |
Português |
Conteúdo: |
O objetivo deste estudo foi investigar e padronizar as melhores condições in vitro para promover o pareamento entre isolados de Magnaporthe sp., e assim definir o seu tipo sexual (mating type), fertilidade e sexualidade. |
Thesagro: |
Arroz; Brusone; Doença de planta; Oryza sativa. |
Thesaurus Nal: |
Magnaporthe oryzae. |
Categoria do assunto: |
H Saúde e Patologia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/135503/1/p113.pdf
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Marc: |
LEADER 00928nam a2200205 a 4500 001 2031547 005 2015-12-11 008 2014 bl uuuu u00u1 u #d 100 1 $aPEIXOTO, L. F. 245 $aProdução in vitro da fase sexuada de Magnaporthe sp.$h[electronic resource] 260 $aIn: SEMINÁRIO JOVENS TALENTOS, 8., 2014, Santo Antônio de Goiás. Coletânea dos resumos apresentados. Santo Antônio de Goiás: Embrapa Arroz e Feijão$c2014 300 $ap. 113. 490 $a(Embrapa Arroz e Feijão. Documentos, 306). 520 $aO objetivo deste estudo foi investigar e padronizar as melhores condições in vitro para promover o pareamento entre isolados de Magnaporthe sp., e assim definir o seu tipo sexual (mating type), fertilidade e sexualidade. 650 $aMagnaporthe oryzae 650 $aArroz 650 $aBrusone 650 $aDoença de planta 650 $aOryza sativa 700 1 $aFILIPPI, M. C. C. de
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
07/12/2018 |
Data da última atualização: |
28/01/2021 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
VAZ, G. J.; SILVA NETO, L. de F. da; OLIVEIRA, S. R. de M.; BOTELHO, F. P.; ARAUJO FILHO, J. C. de. |
Afiliação: |
GLAUBER JOSE VAZ, CNPTIA; LUIS DE FRANCA DA SILVA NETO, CNPS; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; FABIO PEREIRA BOTELHO, CNPS; JOSE COELHO DE ARAUJO FILHO, CNPS. |
Título: |
Development of an expert system for classification of Brazilian soil profiles. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS, 2018. |
Páginas: |
Não paginado. |
Idioma: |
Inglês |
Notas: |
WCSS 2018. Publicado também em: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science beyond food and fuel: proceedings. Viçosa, MG: Sociedade Brasileira de Ciência do Solo, 2019. v. I, p. 56-57. Editores: Leandro Souza da Silva, Lúcia Helena Cunha dos Anjos, Dalvan José Reinert, Heitor Cantarella, Cristine C. Muggler, Raphael B. A. Fernandes, Igor Rodrigues de Assis, Flávio A. de Oliveira Camargo. |
Conteúdo: |
The Brazilian Soil Classification System (BSCS) is the official taxonomic system for soil classification in Brazil. With the collaboration of professionals from several research and teaching institutions in the country, BSCS is in its third printed edition. Although it has been published many years ago, there is still no widely available computer program that simulates the decision-making of domain experts for the classification of Brazilian soils. The objective of this work is to build an expert system to assist professionals who need to classify Brazilian soil profiles. Based on the BSCS rules, the system simulates the reasoning of a domain expert when performing the classification of soil profiles. In addition to assisting the work of pedologists, the system can be used as a didactic resource, since it can explain in detail the path that leads to a particular solution. The system is in the prototype phase and has been developed in the Prolog language. It is able to classify soil profiles according to BSCS in different categorical levels, according to the data provided. Tests are being conducted on hundreds of samples already classified by domain experts. The development of this system brings many benefits, to wit: a) it increases the availability of knowledge on soil classification; b) it assists in the dissemination of BSCS, since it is documented not only in the form of publication, but also in software format; c) it is a rule-based system, so its development can be incremental, enabling consistency and performance tests as new knowledge is introduced; d) it has been developed using free software, resulting in reduced costs for its operation and maintenance, by the research institutions and users interested in its functionalities. Apart from these benefits, this software tool can still be used to validate previously classified profiles, classify new soil profiles and subsidize the evolution of BSCS, since it is an open taxonomic system. MenosThe Brazilian Soil Classification System (BSCS) is the official taxonomic system for soil classification in Brazil. With the collaboration of professionals from several research and teaching institutions in the country, BSCS is in its third printed edition. Although it has been published many years ago, there is still no widely available computer program that simulates the decision-making of domain experts for the classification of Brazilian soils. The objective of this work is to build an expert system to assist professionals who need to classify Brazilian soil profiles. Based on the BSCS rules, the system simulates the reasoning of a domain expert when performing the classification of soil profiles. In addition to assisting the work of pedologists, the system can be used as a didactic resource, since it can explain in detail the path that leads to a particular solution. The system is in the prototype phase and has been developed in the Prolog language. It is able to classify soil profiles according to BSCS in different categorical levels, according to the data provided. Tests are being conducted on hundreds of samples already classified by domain experts. The development of this system brings many benefits, to wit: a) it increases the availability of knowledge on soil classification; b) it assists in the dissemination of BSCS, since it is documented not only in the form of publication, but also in software format; c) it is a rule-based system, so its development can be inc... Mostrar Tudo |
Palavras-Chave: |
Brazilian Soil Classification System; Classificação de solos; Sistema especialista. |
Thesaurus NAL: |
Expert systems; Soil classification. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/187974/1/Development-VAZ-WCSS-2018.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/200718/1/Development-VAZ-WCSS-2019.pdf
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Marc: |
LEADER 03228nam a2200241 a 4500 001 2100967 005 2021-01-28 008 2018 bl uuuu u00u1 u #d 100 1 $aVAZ, G. J. 245 $aDevelopment of an expert system for classification of Brazilian soil profiles.$h[electronic resource] 260 $aIn: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS$c2018 300 $aNão paginado. 500 $aWCSS 2018. Publicado também em: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science beyond food and fuel: proceedings. Viçosa, MG: Sociedade Brasileira de Ciência do Solo, 2019. v. I, p. 56-57. Editores: Leandro Souza da Silva, Lúcia Helena Cunha dos Anjos, Dalvan José Reinert, Heitor Cantarella, Cristine C. Muggler, Raphael B. A. Fernandes, Igor Rodrigues de Assis, Flávio A. de Oliveira Camargo. 520 $aThe Brazilian Soil Classification System (BSCS) is the official taxonomic system for soil classification in Brazil. With the collaboration of professionals from several research and teaching institutions in the country, BSCS is in its third printed edition. Although it has been published many years ago, there is still no widely available computer program that simulates the decision-making of domain experts for the classification of Brazilian soils. The objective of this work is to build an expert system to assist professionals who need to classify Brazilian soil profiles. Based on the BSCS rules, the system simulates the reasoning of a domain expert when performing the classification of soil profiles. In addition to assisting the work of pedologists, the system can be used as a didactic resource, since it can explain in detail the path that leads to a particular solution. The system is in the prototype phase and has been developed in the Prolog language. It is able to classify soil profiles according to BSCS in different categorical levels, according to the data provided. Tests are being conducted on hundreds of samples already classified by domain experts. The development of this system brings many benefits, to wit: a) it increases the availability of knowledge on soil classification; b) it assists in the dissemination of BSCS, since it is documented not only in the form of publication, but also in software format; c) it is a rule-based system, so its development can be incremental, enabling consistency and performance tests as new knowledge is introduced; d) it has been developed using free software, resulting in reduced costs for its operation and maintenance, by the research institutions and users interested in its functionalities. Apart from these benefits, this software tool can still be used to validate previously classified profiles, classify new soil profiles and subsidize the evolution of BSCS, since it is an open taxonomic system. 650 $aExpert systems 650 $aSoil classification 653 $aBrazilian Soil Classification System 653 $aClassificação de solos 653 $aSistema especialista 700 1 $aSILVA NETO, L. de F. da 700 1 $aOLIVEIRA, S. R. de M. 700 1 $aBOTELHO, F. P. 700 1 $aARAUJO FILHO, J. C. de
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Embrapa Agricultura Digital (CNPTIA) |
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