Digital Interfaces for Dairy Welfare - Advancing Human-Computer-Animal Interactions Dalhousie University in Canada

This research project aims to enhance the welfare of dairy cattle by developing innovative digital interfaces that facilitate better human-computer-animal interactions. By integrating artificial intelligence technologies such as machine learning, facial recognition, and natural language processing, the project seeks to interpret cows' behaviors and vocalizations to understand their health and emotional states more accurately. It involves creating user-friendly platforms for farmers to monitor real-time data on livestock well-being, enabling timely interventions and improving overall farm productivity. Ethical considerations, including data privacy and the impact of technology on both animals and farmers, are central to the study. The ultimate goal is to promote sustainable and ethical farming practices by bridging the communication gap between humans and dairy animals through advanced technological solutions.

Accepting: PhD and MCS students

Express your interest in working with Dr. Suresh Neethirajan .

Accepting: PhD and MCS students

Express your interest in working with Dr. Nils Wilde .

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.