Registro Completo
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Biblioteca(s): |
Embrapa Semiárido; Embrapa Uva e Vinho. |
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Data corrente: |
19/12/2016 |
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Data da última atualização: |
10/10/2019 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
LIMA, C. M. de; NETO, L.; PEREIRA, G. E.; GOMES, A. A.; ARAÚJO, M. C. U. de. |
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Afiliação: |
CARLOS MONTEIRO DE LIMA, Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte - IFRN; LICARION NETO, UFPB; GIULIANO ELIAS PEREIRA, CNPUV - CPATSA; ADRIANO ARAÚJO GOMES, Universidade Federal do Sul e Sudoeste do Pará - UNIFESSPA; MÁRIO CÉSAR UGULINO DE ARAÚJO, UFPB. |
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Título: |
Geographical traceability of wines produced in the Valley of San Francisco-based near-infrared (nir) and chemometrics. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: WORLD VINE AND WINE CONGRESS, 39.; GENERAL ASSEMBLY OF THE OIV, 14., 2016, Bento Gonçalves. Vitiviniculture: technological advances to market challenges: abstracts. Bento Gonçalves: International Organisation of Vine and Wine, 2016. |
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Descrição Física: |
1 Pen drive. |
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Idioma: |
Inglês |
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Conteúdo: |
The results, although preliminary, suggest that the NIR data carry the information able to properly discriminate the wines produced in the VSF from those wine of other regions. The classification model built using variables selection (GA-LDA) achieved good results, we understand that there is a strong asymmetry between classes, due to the small number of samples from other regions |
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Palavras-Chave: |
Rastreabilidade geográfica de vinhos; Vale de São Francisco; Vitivinicultura. |
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Thesagro: |
Uva; Vinho; Vitis Vinifera. |
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Thesaurus NAL: |
Grapes. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/152764/1/GiulianopOSTER1.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/152018/1/Giuliano.pdf
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Marc: |
LEADER 01337nam a2200253 a 4500
001 2059934
005 2019-10-10
008 2016 bl uuuu u00u1 u #d
100 1 $aLIMA, C. M. de
245 $aGeographical traceability of wines produced in the Valley of San Francisco-based near-infrared (nir) and chemometrics.$h[electronic resource]
260 $aIn: WORLD VINE AND WINE CONGRESS, 39.; GENERAL ASSEMBLY OF THE OIV, 14., 2016, Bento Gonçalves. Vitiviniculture: technological advances to market challenges: abstracts. Bento Gonçalves: International Organisation of Vine and Wine$c2016
300 $c1 Pen drive.
520 $aThe results, although preliminary, suggest that the NIR data carry the information able to properly discriminate the wines produced in the VSF from those wine of other regions. The classification model built using variables selection (GA-LDA) achieved good results, we understand that there is a strong asymmetry between classes, due to the small number of samples from other regions
650 $aGrapes
650 $aUva
650 $aVinho
650 $aVitis Vinifera
653 $aRastreabilidade geográfica de vinhos
653 $aVale de São Francisco
653 $aVitivinicultura
700 1 $aNETO, L.
700 1 $aPEREIRA, G. E.
700 1 $aGOMES, A. A.
700 1 $aARAÚJO, M. C. U. de
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Esconder MarcMostrar Marc Completo |
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Registro original: |
Embrapa Uva e Vinho (CNPUV) |
