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Predicting bovine tuberculosis status of dairy cows from mid-infrared spectral data of milk using deep learning.
Denholm, S J; Brand, W; Mitchell, A P; Wells, A T; Krzyzelewski, T; Smith, S L; Wall, E; Coffey, M P.
Afiliação
  • Denholm SJ; Scotland's Rural College (SRUC), Peter Wilson Building, Kings Buildings, West Mains Road, Edinburgh EH9 3JG, UK. Electronic address: scott.denholm@sruc.ac.uk.
  • Brand W; Scotland's Rural College (SRUC), Peter Wilson Building, Kings Buildings, West Mains Road, Edinburgh EH9 3JG, UK.
  • Mitchell AP; Animal and Plant Health Agency (APHA), Woodham Lane, Addlestone, Surrey KT15 3NB, UK.
  • Wells AT; Scotland's Rural College (SRUC), Peter Wilson Building, Kings Buildings, West Mains Road, Edinburgh EH9 3JG, UK.
  • Krzyzelewski T; Scotland's Rural College (SRUC), Peter Wilson Building, Kings Buildings, West Mains Road, Edinburgh EH9 3JG, UK.
  • Smith SL; Scotland's Rural College (SRUC), Peter Wilson Building, Kings Buildings, West Mains Road, Edinburgh EH9 3JG, UK.
  • Wall E; Scotland's Rural College (SRUC), Peter Wilson Building, Kings Buildings, West Mains Road, Edinburgh EH9 3JG, UK.
  • Coffey MP; Scotland's Rural College (SRUC), Peter Wilson Building, Kings Buildings, West Mains Road, Edinburgh EH9 3JG, UK.
J Dairy Sci ; 103(10): 9355-9367, 2020 Oct.
Article em En | MEDLINE | ID: mdl-32828515
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrofotometria Infravermelho / Tuberculose Bovina / Leite / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Animals País/Região como assunto: Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrofotometria Infravermelho / Tuberculose Bovina / Leite / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Animals País/Região como assunto: Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article