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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
07/12/2018 |
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Data da última atualização: |
28/01/2021 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
VAZ, G. J.; SILVA NETO, L. de F. da; OLIVEIRA, S. R. de M.; BOTELHO, F. P.; ARAUJO FILHO, J. C. de. |
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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. |
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Título: |
Development of an expert system for classification of Brazilian soil profiles. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS, 2018. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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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. |
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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 |
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Palavras-Chave: |
Brazilian Soil Classification System; Classificação de solos; Sistema especialista. |
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Thesaurus Nal: |
Expert systems; Soil classification. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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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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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
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Status |
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Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
13/10/2022 |
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Data da última atualização: |
20/11/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SOUZA, A. C. F. de; LIMA, J. R. F. de. |
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Afiliação: |
ANA CLEDIA FERREIRA DE SOUZA, UFPE; JOAO RICARDO FERREIRA DE LIMA, CPATSA. |
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Título: |
Comportamento dos preços de manga Palmer ao produtor do Vale do Submédio São Francisco. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Revista de Economia e Sociologia Rural, v. 61, n. 1, e259161, 2023. |
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DOI: |
https://doi.org/10.1590/1806-9479.2021.250161 |
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Idioma: |
Português |
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Conteúdo: |
Este trabalho tem como objetivo principal, verificar os componentes de tendência, sazonalidade e volatilidade do preço da manga pago ao produtor do Vale do Submédio São Francisco. Além disso, também é realizado um estudo para previsões de preços futuros da manga para as próximas 18 semanas seguintes em relação ao período de estudo. Para tanto, foram utilizados dados obtidos no site do CEPEA/USP, correspondente ao período da primeira semana de 2012 até a trigésima quarta semana de 2020. Os resultados apontam uma tendência positiva e sazonalidade com período de 12 e 28 semanas. Os preços da manga Palmer apresentam uma volatilidade condicional, com oscilações mais acentuadas a partir do ano de 2016. A série foi modelada por um SARIMA (1,1,0)x(0,0,1)52 para a previsão de preços. De acordo com o erro médio absoluto e o erro médio percentual, o modelo possui um bom ajustamento. |
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Palavras-Chave: |
Modelos de séries temporais; Vale do Submédio São Francisco; Variedade Palmer. |
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Thesagro: |
Agronegócio; Manga; Mangifera Indica; Mercado; Preço; Produtor. |
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Thesaurus NAL: |
Agribusiness; Mangoes; Prices. |
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Categoria do assunto: |
E Economia e Indústria Agrícola |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1147301/1/Comportamento-dos-precos-de-manga-Palmer-Vale-do-Sao-Francisco-2023.pdf
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Marc: |
LEADER 01779naa a2200289 a 4500
001 2147301
005 2023-11-20
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1590/1806-9479.2021.250161$2DOI
100 1 $aSOUZA, A. C. F. de
245 $aComportamento dos preços de manga Palmer ao produtor do Vale do Submédio São Francisco.$h[electronic resource]
260 $c2023
520 $aEste trabalho tem como objetivo principal, verificar os componentes de tendência, sazonalidade e volatilidade do preço da manga pago ao produtor do Vale do Submédio São Francisco. Além disso, também é realizado um estudo para previsões de preços futuros da manga para as próximas 18 semanas seguintes em relação ao período de estudo. Para tanto, foram utilizados dados obtidos no site do CEPEA/USP, correspondente ao período da primeira semana de 2012 até a trigésima quarta semana de 2020. Os resultados apontam uma tendência positiva e sazonalidade com período de 12 e 28 semanas. Os preços da manga Palmer apresentam uma volatilidade condicional, com oscilações mais acentuadas a partir do ano de 2016. A série foi modelada por um SARIMA (1,1,0)x(0,0,1)52 para a previsão de preços. De acordo com o erro médio absoluto e o erro médio percentual, o modelo possui um bom ajustamento.
650 $aAgribusiness
650 $aMangoes
650 $aPrices
650 $aAgronegócio
650 $aManga
650 $aMangifera Indica
650 $aMercado
650 $aPreço
650 $aProdutor
653 $aModelos de séries temporais
653 $aVale do Submédio São Francisco
653 $aVariedade Palmer
700 1 $aLIMA, J. R. F. de
773 $tRevista de Economia e Sociologia Rural$gv. 61, n. 1, e259161, 2023.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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