Automatic lameness detection in cattle.

Alsaaod, Maher; Fadul, Mahmoud Mohamed; Steiner, Adrian (2019). Automatic lameness detection in cattle. Veterinary journal, 246, pp. 35-44. Elsevier 10.1016/j.tvjl.2019.01.005

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There is an increasing demand for health and welfare monitoring in modern dairy farming. The development of various innovative techniques aims at improving animal behaviour monitoring and thus animal welfare indicators on-farm. Automated lameness detection systems have to be valid, reliable and practicable to be applied in veterinary practice or under farm conditions. The objective of this literature review was to describe the current automated systems for detection of lameness in cattle, which have been recently developed and investigated for application in dairy research and practice. The automatic methods of lameness detection broadly fall into three categories: kinematic, kinetic and indirect methods. The performance of the methods were compared with the reference standard (locomotion score and/or lesion score) and evaluated based on level-based scheme defining the degree of development (level I, sensor technique; level II, validation of algorithm; level III, performance for detection of lameness and/or lesion; level IV, decision support with early warning system). Many scientific studies have been performed on levels I-III, but there are no studies of level IV technology. The adoption rate of automated lameness detection systems by herd managers mainly yields returns on investment by the early identification of lame cows. Long-term studies, using validated automated lameness detection systems aiming at early lameness detection, are still needed in order to improve welfare and production under field conditions.

Item Type:

Journal Article (Review Article)

Division/Institute:

05 Veterinary Medicine > Department of Clinical Veterinary Medicine (DKV)
05 Veterinary Medicine > Department of Clinical Veterinary Medicine (DKV) > Clinic for Ruminants

UniBE Contributor:

Alsaaod, Maher; Fadul, Mahmoud Mohamed and Steiner, Adrian

Subjects:

600 Technology > 610 Medicine & health
600 Technology > 630 Agriculture

ISSN:

1090-0233

Publisher:

Elsevier

Language:

English

Submitter:

Nathalie Viviane Zollinger

Date Deposited:

05 Jun 2019 11:47

Last Modified:

24 Oct 2019 07:25

Publisher DOI:

10.1016/j.tvjl.2019.01.005

PubMed ID:

30902187

Uncontrolled Keywords:

Automated lameness detection Cattle Locomotion score Welfare

BORIS DOI:

10.7892/boris.130485

URI:

https://boris.unibe.ch/id/eprint/130485

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