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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
03/06/2004 |
Data da última atualização: |
31/08/2007 |
Autoria: |
PAES, J. B.; MORAIS, V. de M.; FARIAS SOBRINHO, D. W. de; BAKKE, O. A. |
Título: |
Resistência natural de nove madeiras do semi-árido brasileiro a cupins subterrâneos, em ensaio de laboratório. |
Ano de publicação: |
2003 |
Fonte/Imprenta: |
Cerne, Lavras, v. 9, n. 1, p. 36-47, 2003. |
Idioma: |
Português |
Palavras-Chave: |
Brazilian semi-arid woods; Cupim subterrâneo; Resistência natural; Semi árido; Wood natural resistance. |
Thesagro: |
Madeira. |
Thesaurus Nal: |
subterranean termites. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00709naa a2200229 a 4500 001 1309065 005 2007-08-31 008 2003 bl uuuu u00u1 u #d 100 1 $aPAES, J. B. 245 $aResistência natural de nove madeiras do semi-árido brasileiro a cupins subterrâneos, em ensaio de laboratório. 260 $c2003 650 $asubterranean termites 650 $aMadeira 653 $aBrazilian semi-arid woods 653 $aCupim subterrâneo 653 $aResistência natural 653 $aSemi árido 653 $aWood natural resistance 700 1 $aMORAIS, V. de M. 700 1 $aFARIAS SOBRINHO, D. W. de 700 1 $aBAKKE, O. A. 773 $tCerne, Lavras$gv. 9, n. 1, p. 36-47, 2003.
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Embrapa Florestas (CNPF) |
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Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
24/03/2023 |
Data da última atualização: |
24/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 3 |
Autoria: |
SOARES, N. D.; BRAGA, R.; DAVID, J. M. N.; SIQUEIRA, K. B.; STROELE, V. |
Afiliação: |
NEDSON D. SOARES, Energisa; REGINA BRAGA, Universidade Federal de Juiz de Fora; JOSÉ MARIA N. DAVID, Universidade Federal de Juiz de Fora; KENNYA BEATRIZ SIQUEIRA, CNPGL; VICTOR STROELE, Universidade Federal de Juiz de Fora. |
Título: |
Data analysis in social networks for agribusiness: a systematic review. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
IEEE Access, v. 11, p. 8422-8432, 2023. |
DOI: |
https://doi.org/10.1109/ACCESS.2023.3237984 |
Idioma: |
Inglês |
Conteúdo: |
The ability of companies to react to changes imposed by the market can be aided by to information acquisition and knowledge generation. Big data technologies, crowdsourcing, and Online Social Networks (OSN) are used for knowledge generation. These technologies have assumed a significant position in agribusiness in recent decades. This work investigates how social network analysis can promote agribusiness to provide a basis for future applications and evaluations. We adopted a hybrid systematic mapping to conduct the investigation. Two hundred twenty-three works that propose solutions for agribusiness were found and categorized. Results showed the most used OSN is Twitter and revealed an increase in the number of studies in this area. The information obtained indicates how social media monitoring can complement traditional decision-making methods in managing and regulating agricultural systems. However, more studies in agribusiness using data analysis tools on social networks are required, considering the importance of social networks on marketing strategies. Based on our results, we discuss some challenges and research directions. |
Palavras-Chave: |
Mapeamento sistemático; Rede social. |
Thesagro: |
Agronegócio; Análise de Dados. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1152681/1/Data-analysis-in-social-networks-for-agribusiness-a-systematic-review.pdf
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Marc: |
LEADER 01819naa a2200229 a 4500 001 2152681 005 2023-03-24 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1109/ACCESS.2023.3237984$2DOI 100 1 $aSOARES, N. D. 245 $aData analysis in social networks for agribusiness$ba systematic review.$h[electronic resource] 260 $c2023 520 $aThe ability of companies to react to changes imposed by the market can be aided by to information acquisition and knowledge generation. Big data technologies, crowdsourcing, and Online Social Networks (OSN) are used for knowledge generation. These technologies have assumed a significant position in agribusiness in recent decades. This work investigates how social network analysis can promote agribusiness to provide a basis for future applications and evaluations. We adopted a hybrid systematic mapping to conduct the investigation. Two hundred twenty-three works that propose solutions for agribusiness were found and categorized. Results showed the most used OSN is Twitter and revealed an increase in the number of studies in this area. The information obtained indicates how social media monitoring can complement traditional decision-making methods in managing and regulating agricultural systems. However, more studies in agribusiness using data analysis tools on social networks are required, considering the importance of social networks on marketing strategies. Based on our results, we discuss some challenges and research directions. 650 $aAgronegócio 650 $aAnálise de Dados 653 $aMapeamento sistemático 653 $aRede social 700 1 $aBRAGA, R. 700 1 $aDAVID, J. M. N. 700 1 $aSIQUEIRA, K. B. 700 1 $aSTROELE, V. 773 $tIEEE Access$gv. 11, p. 8422-8432, 2023.
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