Zobrazeno 1 - 6
of 6
pro vyhledávání: '"precision livestock monitoring"'
Autor:
Emily Walton, Christy Casey, Jurgen Mitsch, Jorge A. Vázquez-Diosdado, Juan Yan, Tania Dottorini, Keith A. Ellis, Anthony Winterlich, Jasmeet Kaler
Publikováno v:
Royal Society Open Science, Vol 5, Iss 2 (2018)
Automated behavioural classification and identification through sensors has the potential to improve health and welfare of the animals. Position of a sensor, sampling frequency and window size of segmented signal data has a major impact on classifica
Externí odkaz:
https://doaj.org/article/9af5e9c2fc7f476c935da647223c7fe0
Autor:
Nicola Mansbridge, Jurgen Mitsch, Nicola Bollard, Keith Ellis, Giuliana G. Miguel-Pacheco, Tania Dottorini, Jasmeet Kaler
Publikováno v:
Sensors, Vol 18, Iss 10, p 3532 (2018)
Grazing and ruminating are the most important behaviours for ruminants, as they spend most of their daily time budget performing these. Continuous surveillance of eating behaviour is an important means for monitoring ruminant health, productivity and
Externí odkaz:
https://doaj.org/article/0c491c80df754ce6a77a435f862895f6
Autor:
Walton, Emily, Casey, Christy, Mitsch, Jurgen, Yan, Juan, Dottorini, Tania, Ellis, Keith A., Winterlich, Anthony, Kaler, Jasmeet
Automated behavioural classification and identification through sensors has the potential to improve health and welfare of the animals. Position of a sensor, sampling frequency and window size of segmented signal data has a major impact on classifica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::b07c09210dab1e0dbd1fb33a44e79b01
https://nottingham-repository.worktribe.com/file/910825/1/171442.full.pdf
https://nottingham-repository.worktribe.com/file/910825/1/171442.full.pdf
Autor:
Keith A. Ellis, Jasmeet Kaler, Jurgen Mitsch, Christy Casey, Anthony Winterlich, Jorge A. Vázquez-Diosdado, Juan Yan, Emily Walton, Tania Dottorini
Publikováno v:
Royal Society Open Science, Vol 5, Iss 2 (2018)
Royal Society Open Science
Royal Society Open Science
Automated behavioural classification and identification through sensors has the potential to improve health and welfare of the animals. Position of a sensor, sampling frequency and window size of segmented signal data has a major impact on classifica
Akademický článek
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Autor:
Walton E; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK., Casey C; DXC Technology, Ballybrit Business Park, Galway City H91 WP08, Ireland., Mitsch J; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK.; Advanced Data Analysis Centre (ADAC), School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK., Vázquez-Diosdado JA; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK., Yan J; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK.; School of Computer Science, University of Manchester, Manchester M13 9PL, UK., Dottorini T; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK.; Advanced Data Analysis Centre (ADAC), School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK., Ellis KA; Internet of Things Systems Research, Intel Labs, Leixlip W23 CX68, Ireland., Winterlich A; DXC Technology, Ballybrit Business Park, Galway City H91 WP08, Ireland., Kaler J; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK.
Publikováno v:
Royal Society open science [R Soc Open Sci] 2018 Feb 07; Vol. 5 (2), pp. 171442. Date of Electronic Publication: 2018 Feb 07 (Print Publication: 2018).