Dr Jaime Manning is a lecturer in Agriculture within the School of Health, Medical and Applied Sciences at CQUniversity Australia and a previous Advance Queensland Industry Research Fellow. She has a Bachelor of Animal and Veterinary Bioscience (First Class Honours) after completing an honours project researching the use of GPS technology to detect the predation of sheep. Her PhD was obtained from the Sydney Institute of Agriculture at The University of Sydney in 2018, and investigated heterogeneity in pasture systems, and how it affects cattle production, paddock utilisation and behaviour using livestock tracking and pasture sensor technologies.

Jaime's main research interests are using and incorporating technology on farm to improve the level of monitoring and welfare of livestock (cattle, sheep and goats), whilst providing invaluable information into how we manage livestock and detect issues as they arise in extensive production systems. Within the Precision Livestock Management Cluster in the Institute for Future Farming Systems (IFFS), Jaime led an Australia Wool Innovation (AWI) and Advance Queensland Industry Research Fellowship research project, testing AWI's smart sensor ear tag for predation and disease detection in sheep. She is also dedicated to improving the digital capability of the current and next generation workforce as agriculture undergoes a period of digital transformation. Her experience in livestock tracking, Agri-tech and digital skills flows into projects and extension activities developed by the Agri-tech Education and Extension Research Cluster in the IFFS, ensuring projects are industry relevant and highlight current issues facing the sector. Drawing on current issues facing the livestock sector and her extensive research experience across Precision Livestock and Agri-tech Education and Extension, Jaime also teaches animal production, behaviour, welfare and new and emerging technologies units into the CQUniversity agriculture degree program.

Jaime’s expertise and research interests include:

• Precision Livestock Management
• Livestock tracking technologies
• Animal behaviour and welfare
• Small ruminants
• Pasture sensor technologies
• Spatial analysis, paddock utilisation and on-farm management
• Disease and aberrant behaviour detection
• Digital capability and skills