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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: |
16/10/2024 |
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Data da última atualização: |
17/10/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PAPA, M.; OLIVEIRA, S. R. de M.; BERGIER, I. |
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Afiliação: |
MATHEUS PAPA, UNIVERSIDADE ESTADUAL DE CAMPINAS; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; IVAN BERGIER TAVARES DE LIMA, CNPTIA. |
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Título: |
Technologies in cattle traceability: a bibliometric analysis. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Computers and Electronics in Agriculture, v. 227, 109459, 2024. |
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ISSN: |
0168-1699 |
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DOI: |
https://doi.org/10.1016/j.compag.2024.109459 |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT. It has been widely documented that livestock cattle can play a non-negligible role in natural landscapes due to climate change, deforestation, and enteric methane emissions. Alternatively, sustainable protocols and market digitalization are highlighted as promising tools to mitigate environmental cattle impacts by authenticated data in digital traceability systems. Digital inclusion, particularly for cattle breeders, can be a useful starting point for employing sustainable protocol in food chain production and management. This study analyzes the evolution of knowledge in the area of animal traceability to compare applied technologies found by a bibliometric analysis of articles published in Web of Science. The study evidences a clear change in thematic research over decades, currently culminating in technologies such as blockchain, IoT (Internet of Things), machine learning, and deep learning. These technologies emerge as the main research scopes in promoting transparency and reliability in the production chain, especially considering individual digital identification. However, challenges such as high investment requirements and difficulties in data accessibility, interoperability, privacy, and security implicate the low maturity level of available technologies and knowledge, therefore preventing further adoption and development of reliable worldwide animal traceability systems. |
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Palavras-Chave: |
Adoção de tecnologia; Análise bibliométrica; Animal identification Tag; Beef chain; Cadeia da Carne; Rastreabilidade; Technology adoption; Tecnologia de identificação animal; Transparência; Transparency. |
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Thesaurus Nal: |
Bibliometric analysis. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02334naa a2200301 a 4500
001 2168113
005 2024-10-17
008 2024 bl uuuu u00u1 u #d
022 $a0168-1699
024 7 $ahttps://doi.org/10.1016/j.compag.2024.109459$2DOI
100 1 $aPAPA, M.
245 $aTechnologies in cattle traceability$ba bibliometric analysis.$h[electronic resource]
260 $c2024
520 $aABSTRACT. It has been widely documented that livestock cattle can play a non-negligible role in natural landscapes due to climate change, deforestation, and enteric methane emissions. Alternatively, sustainable protocols and market digitalization are highlighted as promising tools to mitigate environmental cattle impacts by authenticated data in digital traceability systems. Digital inclusion, particularly for cattle breeders, can be a useful starting point for employing sustainable protocol in food chain production and management. This study analyzes the evolution of knowledge in the area of animal traceability to compare applied technologies found by a bibliometric analysis of articles published in Web of Science. The study evidences a clear change in thematic research over decades, currently culminating in technologies such as blockchain, IoT (Internet of Things), machine learning, and deep learning. These technologies emerge as the main research scopes in promoting transparency and reliability in the production chain, especially considering individual digital identification. However, challenges such as high investment requirements and difficulties in data accessibility, interoperability, privacy, and security implicate the low maturity level of available technologies and knowledge, therefore preventing further adoption and development of reliable worldwide animal traceability systems.
650 $aBibliometric analysis
653 $aAdoção de tecnologia
653 $aAnálise bibliométrica
653 $aAnimal identification Tag
653 $aBeef chain
653 $aCadeia da Carne
653 $aRastreabilidade
653 $aTechnology adoption
653 $aTecnologia de identificação animal
653 $aTransparência
653 $aTransparency
700 1 $aOLIVEIRA, S. R. de M.
700 1 $aBERGIER, I.
773 $tComputers and Electronics in Agriculture$gv. 227, 109459, 2024.
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