Net-Zero Digital Livestock Farming AI and Big Data Solutions for Climate-Smart Dairy and Poultry Practices Dalhousie University in Canada

This research project focuses on leveraging artificial intelligence and big data to transform dairy and poultry farming practices with the goal of reducing greenhouse gas (GHG) emissions and achieving net-zero targets. By integrating AI-driven analytics, machine learning models, and precision agriculture technologies, the project aims to optimize feed efficiency, improve animal health monitoring, and enhance waste management systems. The study will analyze large datasets collected from digital livestock farming operations to identify patterns and develop predictive models that support sustainable decision-making. The ultimate goal is to create innovative, climate-smart farming methods that not only enhance productivity and animal welfare but also significantly cut down GHG emissions.

Accepting: PhD and MCS students

Express your interest in working with Dr. Suresh Neethirajan .

When contacting us about your interest in a particular professor or fellowship, please include your:

• Research interests
• Past research experience
• Recent CV

Dalhousie's Faculty of Computer Science offers competitive funding to qualified graduate students and is committed to promoting excellence in research and teaching.