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Precision Livestock Farming
Precision Livestock Farming
Members Involved:
- Stacey Scott (Faculty member)
- Zayn Abbas (URA)
- Open Master's and Ph.D. positions
Former members:
- Ayoola Makinde (Master's student)
- Muhammad Muhaimnul Islam (Master's student)
- Fanny Susilo (PhD student)
- Feerass Ellis (URA)
- Eli-Henry Dykhne (URA)
- Anemmeabasi Bassey (URA)
- Kassidy Marsh (URA)
- Dema Abu Adas (URA)
Precision Livestock Farming (PLF) is the intersection where smart technology and animal farming meet. PLF aims to find potential ways to improve the overall health and welfare of farm animals, efficiency and effectiveness of available farm resources, and also improve the usability and user experience of farm technologies for its human users (i.e. farmers, farm suppliers, veterinarians, regulatory boards, etc.). With the introduction of autonomous monitoring of farms through several Internet of Thinks (IoT) devices, continuous observation and monitoring of animals is made easier and more effective.
Research in this area is highly interdiscinplinary. CSL members work with experienced animal scientists and farm specialists to better understand the technology needs of modern farms, and also to identify opportunities to improve existing technologies and invent new technologies. Sample ongoing projects include investigation of:- the usability of automated milking robots used in Canadian dairy farms,
- current adoption of PLF technologies in the beef industry, and
- cognitive challenges of current notification systems used in PLF systems.
Related Publications
- Media: "Farm Tech Could Benefit from User-Centric Design", November 9, 2021. https://www.uoguelph.ca/ceps/news/2021/11/farm-tech-could-benefit-user-centric-design
- Islam, M.M., Scott, S.D (2021). Exploring the Effects of Precision Livestock Farming Notification Mechanisms on Canadian Dairy Farmers. Proceedings of EAI International Conference on Interactive Digital Media (ICIDM) 2021, July 30-August 1, 2021, Johor Bahru, Malaysia (online), 8 pages. (pdf; conference presentation: YouTube video).** BEST PAPER AWARD ** (received the only best paper overall for the conference!)
- Islam, M.M. (2020). Exploring the Effects of Precision Livestock Farming Notification Mechanisms on Dairy Farmers. M.Sc. Thesis, Computer Science, University of Guelph, Guelph, Ontario, Canada.
- Makinde, A. (2020). Investigating Perceptions, Motivations, and Challenges in the Adoption of Precision Livestock Farming in the Beef Industry. M.Sc.Thesis, Computer Science, University of Guelph, Guelph, Ontario, Canada.
- Makinde, A., Islam, M.M., Scott, S.D. (2019). Opportunities for ACL in PLF: Applying Animal- and User-Centred Design to Precision Livestock Farming. Proceedings of ACI 2019: International Conference on Animal-Computer Interaction 2019, November 12-14, 2019.
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