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Biometric Physiological Responses from Dairy Cows Measured by Visible Remote Sensing Are Good Predictors of Milk Productivity and Quality through Artificial Intelligence.
Fuentes, Sigfredo; Gonzalez Viejo, Claudia; Tongson, Eden; Lipovetzky, Nir; Dunshea, Frank R.
Affiliation
  • Fuentes S; Digital Agriculture Food and Wine Group, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, Australia.
  • Gonzalez Viejo C; Digital Agriculture Food and Wine Group, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, Australia.
  • Tongson E; Digital Agriculture Food and Wine Group, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, Australia.
  • Lipovetzky N; School of Computing and Information Systems, Melbourne School of Engineering, University of Melbourne, Parkville, VIC 3010, Australia.
  • Dunshea FR; Digital Agriculture Food and Wine Group, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, Australia.
Sensors (Basel) ; 21(20)2021 Oct 14.
Article in En | MEDLINE | ID: mdl-34696059
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lactation / Dairying Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Sensors (Basel) Year: 2021 Type: Article Affiliation country: Australia
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lactation / Dairying Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Sensors (Basel) Year: 2021 Type: Article Affiliation country: Australia