Application of Artificial Intelligence (AI) for improved and sustainable swine production

Artificial Intelligence (AI) and data-driven decision-making are finding widespread applications in various sectors, and pig production is no exception. In this fast-evolving landscape, there is a need to assess which areas would benefit the most from AI and to evaluate their impact on productivity and sustainability of the Canadian swine industry. There is also a need to objectively evaluate these new tools under controlled environments, and assess whether they are practical, accurate, affordable and sustainable in commercial settings, with a focus on the use of real-time data in a production context. In this project to be conducted at Prairie Swine Centre, the intern will develop an advanced AI technology with machine learning techniques to accurately detect farrowing onset and identify farrowing distress situations, test and validate the newly developed AI algorithms in in-barn tests, and perform cost analysis and develop recommendations for commercial application of the developed technologies.

Faculty Supervisor:

Lifeng Zhang

Student:

Partner:

Prairie Swine Centre Inc

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Saskatchewan

Program: