Outputs (54)

Lameness Detection in Cows Using Hierarchical Deep Learning and Synchrosqueezed Wavelet Transform (2021)
Journal Article
Jarchi, D., Kaler, J., & Sanei, S. (2021). Lameness Detection in Cows Using Hierarchical Deep Learning and Synchrosqueezed Wavelet Transform. IEEE Sensors Journal, 21(7), 9349-9358. https://doi.org/10.1109/JSEN.2021.3054718

Objectives: Identification of cow lameness is important to farmers to improve and manage cattle health and welfare. No validated tools exist for automatic lameness detection. In this research, we aim to early detect the cow lameness by identifying th... Read More about Lameness Detection in Cows Using Hierarchical Deep Learning and Synchrosqueezed Wavelet Transform.

Understanding farmers' naturalistic decision making around prophylactic antibiotic use in lambs using a grounded theory and natural language processing approach (2020)
Journal Article
Doidge, C., Ferguson, E., Lovatt, F., & Kaler, J. (2021). Understanding farmers' naturalistic decision making around prophylactic antibiotic use in lambs using a grounded theory and natural language processing approach. Preventive Veterinary Medicine, 186, Article 105226. https://doi.org/10.1016/j.prevetmed.2020.105226

The routine use of antibiotics for prevention of disease in neonatal lambs has been highlighted as inappropriate, yet research suggests that many farmers in the UK still carry out this practice. The aim of the study was to understand farmers' natural... Read More about Understanding farmers' naturalistic decision making around prophylactic antibiotic use in lambs using a grounded theory and natural language processing approach.

Antimicrobial use practices and opinions of beef farmers in England and Wales (2020)
Journal Article
Doidge, C., Hudson, C. D., Burgess, R., Lovatt, F., & Kaler, J. (2020). Antimicrobial use practices and opinions of beef farmers in England and Wales. Veterinary Record, 187(12), e119-e119. https://doi.org/10.1136/vr.105878

© British Veterinary Association. Background Limited research exists on antimicrobial use practices of beef farmers. This study aimed to investigate antimicrobial practices and perceptions of beef farmers in England and Wales, and identify drivers of... Read More about Antimicrobial use practices and opinions of beef farmers in England and Wales.

Farmers' Perceptions of Preventing Antibiotic Resistance on Sheep and Beef Farms: Risk, Responsibility, and Action (2020)
Journal Article
Doidge, C., Ruston, A., Lovatt, F., Hudson, C., King, L., & Kaler, J. (2020). Farmers' Perceptions of Preventing Antibiotic Resistance on Sheep and Beef Farms: Risk, Responsibility, and Action. Frontiers in Veterinary Science, 7, Article 524. https://doi.org/10.3389/fvets.2020.00524

© 2020 Doidge, Ruston, Lovatt, Hudson, King and Kaler.

Antibiotic resistance is one of the most serious public health risks facing humanity. The overuse of antibiotics in the treatment of infectious disease have been identified as sources of the... Read More about Farmers' Perceptions of Preventing Antibiotic Resistance on Sheep and Beef Farms: Risk, Responsibility, and Action.

Variable selection for inferential models with relatively high-dimensional data: Between method heterogeneity and covariate stability as adjuncts to robust selection (2020)
Journal Article
Lima, E., Davies, P., Kaler, J., Lovatt, F., & Green, M. (2020). Variable selection for inferential models with relatively high-dimensional data: Between method heterogeneity and covariate stability as adjuncts to robust selection. Scientific Reports, 10, Article 8002. https://doi.org/10.1038/s41598-020-64829-0

Variable selection in inferential modelling is problematic when the number of variables is large relative to the number of data points, especially when multicollinearity is present. A variety of techniques have been described to identify ‘important’... Read More about Variable selection for inferential models with relatively high-dimensional data: Between method heterogeneity and covariate stability as adjuncts to robust selection.

Influencing Change: When “Best Practice” Changes and the Prototypical Good Farmer Turns Bad (2020)
Journal Article
Green, L., Kaler, J., Liu, N., & Ferguson, E. (2020). Influencing Change: When “Best Practice” Changes and the Prototypical Good Farmer Turns Bad. Frontiers in Veterinary Science, 7, Article 161. https://doi.org/10.3389/fvets.2020.00161

Twenty-nine farmers with a flock prevalence of lameness >5% were visited in 2013. They participated in a facilitated discussion on treatment of footrot, and evidence-based new “best practice.” One year later, farmers were revisited and management and... Read More about Influencing Change: When “Best Practice” Changes and the Prototypical Good Farmer Turns Bad.

Is it just about grazing? UK citizens have diverse preferences for how dairy cows should be managed (2020)
Journal Article
Jackson, A., Green, M., Millar, K., & Kaler, J. (2020). Is it just about grazing? UK citizens have diverse preferences for how dairy cows should be managed. Journal of Dairy Science, 103(4), 3250-3263. https://doi.org/10.3168/jds.2019-17111

© 2020 American Dairy Science Association Conflicting views between the dairy industry and the public about how dairy cows should be managed, together with an increase in the availability of alternatives to dairy foods, challenge future markets for m... Read More about Is it just about grazing? UK citizens have diverse preferences for how dairy cows should be managed.

Field survey to evaluate space allowances for dairy cows in Great Britain (2020)
Journal Article
Thompson, J. S., Huxley, J. N., Hudson, C. D., Kaler, J., Gibbons, J., & Green, M. J. (2020). Field survey to evaluate space allowances for dairy cows in Great Britain. Journal of Dairy Science, 103(4), 3745-3759. https://doi.org/10.3168/jds.2019-17004

© 2020 American Dairy Science Association Housing conditions can affect health of cows by increasing exposure to biological, chemical, and physical hazards, resulting in increased disease. A report in 2014 indicated that 99% of UK dairy cows are hous... Read More about Field survey to evaluate space allowances for dairy cows in Great Britain.

Automated detection of lameness in sheep using machine learning approaches: novel insights into behavioural differences among lame and non-lame sheep (2020)
Journal Article
Kaler, J., Mitsch, J., Vázquez-Diosdado, J. A., Bollard, N., Dottorini, T., & Ellis, K. A. (2020). Automated detection of lameness in sheep using machine learning approaches: novel insights into behavioural differences among lame and non-lame sheep. Royal Society Open Science, 7(1), Article 190824. https://doi.org/10.1098/rsos.190824

Lameness in sheep is the biggest cause of concern regarding poor health and welfare among sheep producing countries. Best practice for lameness relies on rapid treatment, yet there are no objective measures of lameness detection. Use of accelerometer... Read More about Automated detection of lameness in sheep using machine learning approaches: novel insights into behavioural differences among lame and non-lame sheep.

Koala retrovirus viral load and disease burden in distinct northern and southern koala populations (2020)
Journal Article
Sarker, N., Fabijan, J., Owen, H., Seddon, J., Simmons, G., Speight, N., …Tarlinton, R. E. (2020). Koala retrovirus viral load and disease burden in distinct northern and southern koala populations. Scientific Reports, 10(1), 263. https://doi.org/10.1038/s41598-019-56546-0

Koala retrovirus (KoRV) displays features of both an endogenous and exogenous virus and is linked to neoplasia and immunosuppression in koalas. This study explores the apparent differences in the nature and impact of KoRV infection between geographic... Read More about Koala retrovirus viral load and disease burden in distinct northern and southern koala populations.