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| Registros recuperados : 266 | |
| Registros recuperados : 266 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
11/11/2021 |
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Data da última atualização: |
12/08/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 4 |
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Autoria: |
LINHARES, H. M.; BRAGA, R.; ARBEX, W. A.; CAMPOS, M. M.; CAMPOS, F.; DAVID, J. M. N.; STROELE, V. |
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Afiliação: |
HEITOR MAGALDI LINHARES, Universidade Federal de Juiz de Fora; REGINA BRAGA, Universidade Federal de Juiz de Fora; WAGNER ANTONIO ARBEX, CNPGL; MARIANA MAGALHAES CAMPOS, CNPGL; FERNANDA CAMPOS, Universidade Federal de Juiz de Fora; JOSE MARIA N. DAVID, Universidade Federal de Juiz de Fora; VICTOR STROELE, Universidade Federal de Juiz de Fora. |
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Título: |
FeedEfficiencyService: an architecture for thecomparison of data from multiple studies related todairy cattle feed efficiency indices. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Information Processing in Agriculture, v. 9, n. 3, p. 378-396, 2022. |
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DOI: |
https://doi.org/10.1016/j.inpa.2021.07.002 |
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Idioma: |
Inglês |
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Conteúdo: |
The increased demand for food worldwide, the reduced land availability for livestock production, the increasing cost of animal feed and the need for mitigating livestock-related greenhouse gas emissions have driven the search for animal feeding systems that proves more efficient. To tackle this problem, we propose the use of computational support to help researchers compare data on feed efficiency, therefore improving economic and environmental gains. As a solution, we present an integrative architecture capable of combining heterogeneous data from multiple experiments related to dairy cattle feed efficiency indices. The proposed architecture, called FeedEfficiencyService, classifies animals according to feed efficiency indices and allows visualizations through ontologies and inference engines. The results obtained from a case study with researchers from the Brazilian Agricultural Research Corporation ? Dairy Cattle (EMBRAPA) demonstrate that this architecture is a supporting tool in their daily work routine. The researchers highlighted the importance of the proposed architecture as it allows analyzing animal data, comparing experiments, having reliable data analyses, and standardizing and organizing data from experiments. The novelty of our approach is the use of ontologies and inference engines to enable the discovery of new knowledge and new relationships between data from feed efficiencyrelated experiments. We store such data, relationships, and analyses of results in an integrated repository. This solution ensures unified access to the processing history and data from diverse experiments, including those conducted at external research centers. MenosThe increased demand for food worldwide, the reduced land availability for livestock production, the increasing cost of animal feed and the need for mitigating livestock-related greenhouse gas emissions have driven the search for animal feeding systems that proves more efficient. To tackle this problem, we propose the use of computational support to help researchers compare data on feed efficiency, therefore improving economic and environmental gains. As a solution, we present an integrative architecture capable of combining heterogeneous data from multiple experiments related to dairy cattle feed efficiency indices. The proposed architecture, called FeedEfficiencyService, classifies animals according to feed efficiency indices and allows visualizations through ontologies and inference engines. The results obtained from a case study with researchers from the Brazilian Agricultural Research Corporation ? Dairy Cattle (EMBRAPA) demonstrate that this architecture is a supporting tool in their daily work routine. The researchers highlighted the importance of the proposed architecture as it allows analyzing animal data, comparing experiments, having reliable data analyses, and standardizing and organizing data from experiments. The novelty of our approach is the use of ontologies and inference engines to enable the discovery of new knowledge and new relationships between data from feed efficiencyrelated experiments. We store such data, relationships, and analyses of results in an... Mostrar Tudo |
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Thesagro: |
Alimentação; Alimento Animal; Eficiência Nutricional; Gado Leiteiro. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1136046/1/Feed-efficiency-service-an-architecture-for-thecomparison-of-data-from-multiple-studies.pdf
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Marc: |
LEADER 02495naa a2200253 a 4500
001 2136046
005 2022-08-12
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.inpa.2021.07.002$2DOI
100 1 $aLINHARES, H. M.
245 $aFeedEfficiencyService$ban architecture for thecomparison of data from multiple studies related todairy cattle feed efficiency indices.$h[electronic resource]
260 $c2022
520 $aThe increased demand for food worldwide, the reduced land availability for livestock production, the increasing cost of animal feed and the need for mitigating livestock-related greenhouse gas emissions have driven the search for animal feeding systems that proves more efficient. To tackle this problem, we propose the use of computational support to help researchers compare data on feed efficiency, therefore improving economic and environmental gains. As a solution, we present an integrative architecture capable of combining heterogeneous data from multiple experiments related to dairy cattle feed efficiency indices. The proposed architecture, called FeedEfficiencyService, classifies animals according to feed efficiency indices and allows visualizations through ontologies and inference engines. The results obtained from a case study with researchers from the Brazilian Agricultural Research Corporation ? Dairy Cattle (EMBRAPA) demonstrate that this architecture is a supporting tool in their daily work routine. The researchers highlighted the importance of the proposed architecture as it allows analyzing animal data, comparing experiments, having reliable data analyses, and standardizing and organizing data from experiments. The novelty of our approach is the use of ontologies and inference engines to enable the discovery of new knowledge and new relationships between data from feed efficiencyrelated experiments. We store such data, relationships, and analyses of results in an integrated repository. This solution ensures unified access to the processing history and data from diverse experiments, including those conducted at external research centers.
650 $aAlimentação
650 $aAlimento Animal
650 $aEficiência Nutricional
650 $aGado Leiteiro
700 1 $aBRAGA, R.
700 1 $aARBEX, W. A.
700 1 $aCAMPOS, M. M.
700 1 $aCAMPOS, F.
700 1 $aDAVID, J. M. N.
700 1 $aSTROELE, V.
773 $tInformation Processing in Agriculture$gv. 9, n. 3, p. 378-396, 2022.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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