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Machine learning for classifying and predicting grape maturity indices using absorbance and fluorescence spectra.
Armstrong, Claire E J; Gilmore, Adam M; Boss, Paul K; Pagay, Vinay; Jeffery, David W.
Afiliação
  • Armstrong CEJ; Australian Research Council Training Centre for Innovative Wine Production, The University of Adelaide, PMB 1, Glen Osmond, South Australia 5064, Australia; School of Agriculture, Food and Wine, and Waite Research Institute, The University of Adelaide, PMB 1, Glen Osmond, South Australia 5064, Austr
  • Gilmore AM; HORIBA Instruments Inc., 20 Knightsbridge Road, Piscataway, NJ 08854, United States.
  • Boss PK; Australian Research Council Training Centre for Innovative Wine Production, The University of Adelaide, PMB 1, Glen Osmond, South Australia 5064, Australia; CSIRO Agriculture and Food, Locked Bag 2, Glen Osmond, SA 5064, Australia.
  • Pagay V; Australian Research Council Training Centre for Innovative Wine Production, The University of Adelaide, PMB 1, Glen Osmond, South Australia 5064, Australia; School of Agriculture, Food and Wine, and Waite Research Institute, The University of Adelaide, PMB 1, Glen Osmond, South Australia 5064, Austr
  • Jeffery DW; Australian Research Council Training Centre for Innovative Wine Production, The University of Adelaide, PMB 1, Glen Osmond, South Australia 5064, Australia; School of Agriculture, Food and Wine, and Waite Research Institute, The University of Adelaide, PMB 1, Glen Osmond, South Australia 5064, Austr
Food Chem ; 403: 134321, 2023 Mar 01.
Article em En | MEDLINE | ID: mdl-36191418
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vinho / Vitis Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Food Chem Ano de publicação: 2023 Tipo de documento: Article País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vinho / Vitis Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Food Chem Ano de publicação: 2023 Tipo de documento: Article País de publicação: Reino Unido