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

Dalhousie University is seeking PhD and MCS students for a research project focused on AI and big data solutions in climate-smart dairy and poultry farming. The project aims to reduce greenhouse gas emissions by optimizing feed efficiency, improving animal health monitoring, and enhancing waste management through data analysis and predictive modeling. Interested candidates should express their interest in working with Dr. Suresh Neethirajan and provide their research interests, experience, and CV.
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.