Early and non-intrusive lameness detection in dairy cows using 3-dimensional video
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 898948
- Type
- D - Journal article
- DOI
-
10.1016/j.biosystemseng.2016.09.017
- Title of journal
- Biosystems Engineering
- Article number
- -
- First page
- 63
- Volume
- 153
- Issue
- -
- ISSN
- 1537-5110
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2016
- URL
-
http://dx.doi.org/10.1016/j.biosystemseng.2016.09.017
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes the first use of a single device to continuously monitor for lameness, body condition and weight. A related paper was awarded best paper at the 8th International Conference on Graphic and Image Processing (ICGIP). Funded through a BBSRC project (BB/L017407/1) and a follow-on KTP (KTP11688) to develop a marketable device (HerdVision), the technology is now in use on 11 dairy farms across the UK (https://tinyurl.com/y69t9xx3) with considerable media attention on BBC Radio 4’s ‘Farming Today’ in 2015 and the BBC Six and Ten o’clock news on in August 2019.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
