Development of a computer vision system to monitor pig locomotion

Open Journal of Animal Sciences

ISSN Print: 2161-7597
ISSN Online: 2161-7627
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"Development of a computer vision system to monitor pig locomotion"
written by Jørgen Kongsro,
published by Open Journal of Animal Sciences, Vol.3 No.3, 2013

has been cited by the following article(s):

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[15]	Keys to Selecting a Prediction Model for Carcass Composition from Computed Tomography Images
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[16]	Imaging technologies to study the composition of live pigs: A review
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[19]	The genetic relationships between conformation assessment of gilts and sow production and longevity
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[1]	Monitoring Pig Structural Soundness and Body Weight in Pork Production Systems Using Computer Vision Approaches Animals, 2025 DOI:10.3390/ani15050635

[2]	RGB-based machine vision for enhanced pig disease symptoms monitoring and health management: a review Journal of Animal Science and Technology, 2025 DOI:10.5187/jast.2024.e111

[3]	Tracing the Domestic Pig 2024 DOI:10.5772/intechopen.101740

[4]	The Application of Cameras in Precision Pig Farming: An Overview for Swine-Keeping Professionals Animals, 2021 DOI:10.3390/ani11082343

[5]	The Application of Cameras in Precision Pig Farming: An Overview for Swine-Keeping Professionals Animals, 2021 DOI:10.3390/ani11082343

[6]	Tracing the Domestic Pig [Working Title] 2021 DOI:10.5772/intechopen.101740

[7]	Precision livestock farming: automatic lameness detection in intensive livestock systems CABI Reviews, 2020 DOI:10.1079/PAVSNNR202015031

[8]	Precision livestock farming: automatic lameness detection in intensive livestock systems CABI Reviews, 2020 DOI:10.1079/PAVSNNR202015031

[9]	Precision livestock farming: automatic lameness detection in intensive livestock systems CABI Reviews, 2020 DOI:10.1079/PAVSNNR202015031

[10]	Recording behaviour of indoor-housed farm animals automatically using machine vision technology: A systematic review PLOS ONE, 2019 DOI:10.1371/journal.pone.0226669

[11]	A novel automated system to acquire biometric and morphological measurements and predict body weight of pigs via 3D computer vision1 Journal of Animal Science, 2018 DOI:10.1093/jas/sky418

[12]	Implementation of machine vision for detecting behaviour of cattle and pigs Livestock Science, 2017 DOI:10.1016/j.livsci.2017.05.014

[13]	Imaging technologies to study the composition of live pigs: A review Spanish Journal of Agricultural Research, 2016 DOI:10.5424/sjar/2016143-8439

[14]	Early detection of health and welfare compromises through automated detection of behavioural changes in pigs The Veterinary Journal, 2016 DOI:10.1016/j.tvjl.2016.09.005

[15]	Pig herd monitoring and undesirable tripping and stepping prevention Computers and Electronics in Agriculture, 2015 DOI:10.1016/j.compag.2015.09.021

[16]	The genetic relationships between conformation assessment of gilts and sow production and longevity Livestock Science, 2014 DOI:10.1016/j.livsci.2014.05.004

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