An AI-assisted decision-making tool developed through OCAD University’s Mixed Reality Agriculture Project is helping farmers interpret complex data and make faster, more informed choices about their crops, resources and farm operations.
The tool was developed through collaborative research that combines agricultural science, design thinking and machine learning. It helps users visualize trends, understand risks and compare options in areas such as planting schedules, input usage and yield predictions. The interface is designed to be intuitive so that farmers can quickly access insights without needing advanced technical expertise.
By turning large volumes of agricultural information into clear, actionable insights, the tool aims to reduce uncertainty and improve planning for growers facing changing weather, markets and production challenges. This research also supports better-timed fertilizer use, smarter cover-crop choices and reduced runoff, delivering economic benefits for growers while strengthening sustainability across Ontario’s agri-food sector.
For more information, visit OCAD University.
Published on March 6, 2026.
