student profile: Mr John Gardenier


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Thesis work

Thesis title: Robotic Perception for Precision Livestock Farming: Automatic lameness detection

Supervisors: James UNDERWOOD , Cameron CLARK , Mehala BALAMURALI

Thesis abstract:

Lameness in dairy cows is a prevalent health issue impacting both animal welfare and economic
performance. Despite the economic and welfare cost of lameness, lameness prevalence has been shown to be severely underestimated. This is partially due to the time and expertise required to systematically recognise and score lame cows. This infrequent manual process often suffers from low consistency and subjectivity. Automatic lameness detection can potentially provide an objective, consistent lameness assessment at a higher temporal resolution, while better distinguishing lameness severity levels.

Selected publications

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Conferences

  • Gardenier, J., Underwood, J., Clark, C. (2018). Object Detection for Cattle Gait Tracking. IEEE International Conference on Robotics and Automation (ICRA 2018), Piscaway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2018

  • Gardenier, J., Underwood, J., Clark, C. (2018). Object Detection for Cattle Gait Tracking. IEEE International Conference on Robotics and Automation (ICRA 2018), Piscaway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

Note: This profile is for a student at the University of Sydney. Views presented here are not necessarily those of the University.