Work

Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device

Year: 2018

Type: article

Abstract: Here we propose a low-cost automated system for the unobtrusive and continuous welfare monitoring of dairy cattle on the farm. We argue that effective and regular monitoring of multiple condition traits is not currently practicable and go on to propose 3D imaging technology able to acquire differing forms of related animal condition data (body condition, lameness and weight), concurrently using a single device. Results obtained under farm conditions in continuous operation are shown to be comparable or better than manual scoring of the herd. We also consider inherent limitations of using scoring and argue that sensitivity to relative change over successive observations offers greater benefit than the use of what may be considered abstract and arbitrary scoring systems.

Source: Computers in Industry

DOI: 10.1016/j.compind.2018.02.011

Authors: M.F. Hansen, M.L. Smith, L.N. Smith, K. Abdul Jabbar, D. Forbes

Institutions: University of the West of England, Bristol Robotics Laboratory

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: hybrid

Estimated APC paid: $3,551