معرفی
Steve Shirtliffe is a Professor in the Department of Plant Sciences at the University of Saskatchewan’s College of Agriculture and Bioresources. His research focuses on field crop agronomy, crop phenotyping, precision agriculture, and weed science. He holds a Ph.D., M.Sc., and B.Sc. from the University of Manitoba.
Dr. Shirtliffe’s work integrates remote sensing, machine learning, and field experimentation to improve crop yields and agricultural sustainability. He has pioneered applications of UAV-based imaging for crop analysis, including canola yield prediction and weed management. His research emphasizes precision agriculture, crop lodging prediction, and mechanical weed control systems.
He has received prominent awards including the ASA Professor of the Year (2008) and University of Saskatchewan’s Provost’s Outstanding Teaching Award (2011-12). Courses taught include PLSC 375 (Current Topics in Agronomy), PLSC 401 (Sustainable Crop Production), and PLSC 898 (Plant Population Biology).
Recent research highlights include:
- Development of AI-driven field boundary delineation systems
- Integration of SAR and optical data for crop phenology mapping
- Optimized deep learning models for edge device yield prediction
- Long-term weed dynamics studies in organic/conventional systems
His work addresses critical challenges in Prairie agriculture through innovative technology applications and systems-level crop management strategies.
