Individual cow identification in a commercial herd using 3D camera technology

Jørn Rind Thomasen; Jan Lassen; Glenn Gunner Brink Nielsen; Claus Borggard; Peter René Bolvig Stentebjerg; Rikke Hjort Hansen; Niels  Worsøe Hansen; Søren Borchersen

Individual cow identification in a commercial herd using 3D camera technology

Jørn Rind Thomasen, Jan Lassen, Glenn Gunner Brink Nielsen, Claus Borggard, Peter René Bolvig Stentebjerg, Rikke Hjort Hansen, Niels Worsøe Hansen, Søren Borchersen

Center for Kvantitativ Genetik og Genomforskning, Aarhus

Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › peer review

Abstract

Automatic cow identification becomes increasingly important for individual real time monitoring of production, health, behaviour etc., in modern dairy cattle production systems with large herd sizes. Examples of camera based classification of lameness (Viazzi et al., 2013) and conformation traits (Salau et al., 2017) have already been presented.
The aim of this study was to identify cows individually at the feeding table using a 3D camera system (Patent no: WO 2017/001538). The purpose of this identification was, with use of the same 3D camera system, to measure the feed intake for the identified cow (Lassen et al., 2017). However, the cow-id identification can also be used in combination with other features. A 3D geometric cow model with corresponding cow-id was used as reference. All cows in this study were labelled with unique cow-id, making it possible to calculate the success rate for 3D cow-id identification system

Originalsprog	Engelsk
Publikationsdato	2018
Status	Udgivet - 2018
Begivenhed	ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018 - Auckland, New Zealand Varighed: 11 feb. 2018 → 16 feb. 2018 Konferencens nummer: 11

Konference

Konference	ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018
Nummer	11
Land/Område	New Zealand
By	Auckland
Periode	11/02/2018 → 16/02/2018

Adgang til dokumentet

http://www.wcgalp.org/proceedings/2018/individual-cow-identification-commercial-herd-using-3d-camera-technology

Citationsformater

Thomasen, J. R., Lassen, J., Gunner Brink Nielsen, G., Borggard, C., Bolvig Stentebjerg, P. R., Hjort Hansen, R., Worsøe Hansen, N., & Borchersen, S. (2018). Individual cow identification in a commercial herd using 3D camera technology. Abstract fra ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand. http://www.wcgalp.org/proceedings/2018/individual-cow-identification-commercial-herd-using-3d-camera-technology

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title = "Individual cow identification in a commercial herd using 3D camera technology",

abstract = "Automatic cow identification becomes increasingly important for individual real time monitoring of production, health, behaviour etc., in modern dairy cattle production systems with large herd sizes. Examples of camera based classification of lameness (Viazzi et al., 2013) and conformation traits (Salau et al., 2017) have already been presented.The aim of this study was to identify cows individually at the feeding table using a 3D camera system (Patent no: WO 2017/001538). The purpose of this identification was, with use of the same 3D camera system, to measure the feed intake for the identified cow (Lassen et al., 2017). However, the cow-id identification can also be used in combination with other features. A 3D geometric cow model with corresponding cow-id was used as reference. All cows in this study were labelled with unique cow-id, making it possible to calculate the success rate for 3D cow-id identification system",

author = "Thomasen, {J{\o}rn Rind} and Jan Lassen and {Gunner Brink Nielsen}, Glenn and Claus Borggard and {Bolvig Stentebjerg}, {Peter Ren{\'e}} and {Hjort Hansen}, Rikke and {Wors{\o}e Hansen}, Niels and S{\o}ren Borchersen",

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language = "English",

note = "ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018 ; Conference date: 11-02-2018 Through 16-02-2018",

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Thomasen, JR, Lassen, J, Gunner Brink Nielsen, G, Borggard, C, Bolvig Stentebjerg, PR, Hjort Hansen, R, Worsøe Hansen, N & Borchersen, S 2018, 'Individual cow identification in a commercial herd using 3D camera technology', ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand, 11/02/2018 - 16/02/2018. <http://www.wcgalp.org/proceedings/2018/individual-cow-identification-commercial-herd-using-3d-camera-technology>

Individual cow identification in a commercial herd using 3D camera technology. / Thomasen, Jørn Rind; Lassen, Jan; Gunner Brink Nielsen, Glenn et al.
2018. Abstract fra ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › peer review

TY - ABST

T1 - Individual cow identification in a commercial herd using 3D camera technology

AU - Thomasen, Jørn Rind

AU - Lassen, Jan

AU - Gunner Brink Nielsen, Glenn

AU - Borggard, Claus

AU - Bolvig Stentebjerg, Peter René

AU - Hjort Hansen, Rikke

AU - Worsøe Hansen, Niels

AU - Borchersen, Søren

N1 - Conference code: 11

PY - 2018

Y1 - 2018

N2 - Automatic cow identification becomes increasingly important for individual real time monitoring of production, health, behaviour etc., in modern dairy cattle production systems with large herd sizes. Examples of camera based classification of lameness (Viazzi et al., 2013) and conformation traits (Salau et al., 2017) have already been presented.The aim of this study was to identify cows individually at the feeding table using a 3D camera system (Patent no: WO 2017/001538). The purpose of this identification was, with use of the same 3D camera system, to measure the feed intake for the identified cow (Lassen et al., 2017). However, the cow-id identification can also be used in combination with other features. A 3D geometric cow model with corresponding cow-id was used as reference. All cows in this study were labelled with unique cow-id, making it possible to calculate the success rate for 3D cow-id identification system

AB - Automatic cow identification becomes increasingly important for individual real time monitoring of production, health, behaviour etc., in modern dairy cattle production systems with large herd sizes. Examples of camera based classification of lameness (Viazzi et al., 2013) and conformation traits (Salau et al., 2017) have already been presented.The aim of this study was to identify cows individually at the feeding table using a 3D camera system (Patent no: WO 2017/001538). The purpose of this identification was, with use of the same 3D camera system, to measure the feed intake for the identified cow (Lassen et al., 2017). However, the cow-id identification can also be used in combination with other features. A 3D geometric cow model with corresponding cow-id was used as reference. All cows in this study were labelled with unique cow-id, making it possible to calculate the success rate for 3D cow-id identification system

M3 - Conference abstract for conference

T2 - ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018

Y2 - 11 February 2018 through 16 February 2018

ER -