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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
02/08/2017 |
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Data da última atualização: |
07/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MOREIRA, C. E. S. M; OLIVEIRA, A. L. R. de; OLIVEIRA, S. R. de M.; YAMAKAMI, A.; COLETI, J. de C. |
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Afiliação: |
CARLOS EDUARDO SOUZA, Unicamp; ANDRÉA LEDA RAMOS DE OLIVEIRA, Unicamp; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; AKEBO YAMAKAM, Unicamp; JAMILE DE CAMPOS COLETI, Unicamp. |
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Título: |
Analysis of the behavior of grain road freight in Brazil: an application of the data mining technique. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: CONFERENCE INTERNATIONAL CONSORTIUM ON APPLIED BIOECONOMY RESEARCH, 21., 2017, Berkeley. Bioeconomy in transition: new tools and new actors. Berkeley: University of California, 2017. |
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Páginas: |
p. 1-10. |
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Idioma: |
Inglês |
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Conteúdo: |
The road system is the main mode of transportation that integrates the main producing agricultural regions to the domestic market and to export ports besides being the transport used in the intermodal routes connecting the producing zones with the transhipment terminals. The aim of these paper is to recognize non-obvious patterns in a mass of road freight data for selected grains, in this case: soybean and corn. Therefore, it is used the data mining technique known as Apriori algorithm for generating association rules that describe these standards. Among the several rules identified by the technique, the following stand out: i. The production of soybeans and maize from Mato Grosso state (MT), is exported mainly through the Port of Santos (SP); Grain warehouses located in the Mato Grosso state, receive mainly cargo coming from itself; The port of São Francisco do Sul (SC) receives mainly maize, and iv. There is in the state of Minas Gerais (MG) an intermodal route which receives grain from Mato Grosso state (MT), and transfers to the railways, in order to send the cargo to your next destination(port ou industry). |
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Palavras-Chave: |
Data mining; Logistics; Mineração de dados. |
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Thesagro: |
Agronegócio; Milho; Soja. |
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Thesaurus Nal: |
Agribusiness; Transportation. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02035nam a2200265 a 4500
001 2073474
005 2020-01-07
008 2017 bl uuuu u00u1 u #d
100 1 $aMOREIRA, C. E. S. M
245 $aAnalysis of the behavior of grain road freight in Brazil$ban application of the data mining technique.$h[electronic resource]
260 $aIn: CONFERENCE INTERNATIONAL CONSORTIUM ON APPLIED BIOECONOMY RESEARCH, 21., 2017, Berkeley. Bioeconomy in transition: new tools and new actors. Berkeley: University of California$c2017
300 $ap. 1-10.
520 $aThe road system is the main mode of transportation that integrates the main producing agricultural regions to the domestic market and to export ports besides being the transport used in the intermodal routes connecting the producing zones with the transhipment terminals. The aim of these paper is to recognize non-obvious patterns in a mass of road freight data for selected grains, in this case: soybean and corn. Therefore, it is used the data mining technique known as Apriori algorithm for generating association rules that describe these standards. Among the several rules identified by the technique, the following stand out: i. The production of soybeans and maize from Mato Grosso state (MT), is exported mainly through the Port of Santos (SP); Grain warehouses located in the Mato Grosso state, receive mainly cargo coming from itself; The port of São Francisco do Sul (SC) receives mainly maize, and iv. There is in the state of Minas Gerais (MG) an intermodal route which receives grain from Mato Grosso state (MT), and transfers to the railways, in order to send the cargo to your next destination(port ou industry).
650 $aAgribusiness
650 $aTransportation
650 $aAgronegócio
650 $aMilho
650 $aSoja
653 $aData mining
653 $aLogistics
653 $aMineração de dados
700 1 $aOLIVEIRA, A. L. R. de
700 1 $aOLIVEIRA, S. R. de M.
700 1 $aYAMAKAMI, A.
700 1 $aCOLETI, J. de C.
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Embrapa Agricultura Digital (CNPTIA) |
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| 10. |  | AIRES, P. S. R.; GAMBARRA-NETO, F. F.; COUTINHO, W. M.; ARAUJO, A. E. de; SILVA, G. F. da; GOUVEIA, J. P. G.; MEDEIROS, E. P. de. Near infrared hyperspectral images and pattern recognition techniques used to identify etiological agents of cotton anthracnose and ramulosis. Journal of Spectral Imaging, v. 7, a8, p. 1-17, 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 5 |
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