A University of Saskatchewan (USask) PhD student is taking crop monitoring to new heights—literally—by using satellite imagery to improve canola production and support on-farm decision-making.
Hansanee Fernando, a graduate researcher in the College of Agriculture and Bioresources, is developing advanced mapping techniques to track key growth stages and estimate yields for canola crops across Western Canada. Her work combines both optical satellite imagery and radar data, offering farmers a more complete and reliable picture of their fields.
While optical imaging provides detailed visual snapshots of the land, it can be hindered by rain and cloud cover. Radar imaging, on the other hand, can penetrate cloud layers, capturing consistent and timely information on crop structure and growth patterns. This dual approach enables Fernando to monitor large areas with greater accuracy—helping identify critical stages such as flowering and providing early yield forecasts.
Fernando’s long-term goal is to transform her research into a practical tool for farmers. She envisions an app that would allow producers to view growth stage timelines, track changes in their fields, and access data that could guide in-season management decisions. Such technology could also assist municipalities and crop insurance providers in evaluating weather damage or drought impacts.
Originally from Sri Lanka, Fernando joined USask after completing her undergraduate degree, drawn by the university’s strong reputation in agricultural research. She is part of the Agronomic Crop Imaging (ACI) team, led by Dr. Steve Shirtliffe, which applies precision agriculture tools such as drones and machine learning to solve crop production challenges.
By combining advanced satellite technology with practical applications, Fernando hopes her work will not only improve canola management but also strengthen resilience in the face of unpredictable growing conditions.
