A key contributor to the GHG footprint of milk production is associated with animal feedstock, which, if not optimised for each animal, can lead to increases in CH4. This PhD project will introduce new video processing tools to interpret animal eating and feeding- behaviours before, during and after eating with the aim of personalising and optimising the feedstock for individual farm animals. To achieve this we will design state-of-the-art image and video processing analytics using AI (artificial intelligence) and machine learning (ML), potentially in combination with traditional signal processing techniques.
The project is based predominantly within the Technology and Innovation Centre at the University of Strathclyde working alongside existing PhD students, postdoctoral researchers and the academic supervisor. James is learning about the theory, application and ways in which to conduct research in the areas of AI and ML based image and video processing. James is supported by a second supervisor based at Queen’s University Belfast who provide expertise in assessing and quantifying the environmental impact of the proposed approach for reducing GHG emissions in the farming industry. James spends time on a weekly basis (1-2 days a week) at Peacock Technology working and functioning as part of the company to conduct and deliver the research alongside a team of Peacock Technology engineers with expertise in designing and deploying innovative robotics and sensor platforms with embedded signal, image and video processing solutions. ​​​
