Toronto company creates algorithm tech to minimize fertilizer use and nitrogen emissions
A Toronto AgTech firm is harnessing machine learning and AI technology to optimize nitrogen application on the farm, minimizing input costs and greenhouse gas emissions.
The Integrated Real-Time Nitrogen Guidance System for Optimizing Canadian Prairie Agriculture, developed by Toronto’s Ukko Agro Inc. holds promise for productivity and profitability for farmers, while reducing the environmental impact of their operations.
Specifically, the project will allow agronomists to guide farmers on in-season nitrogen use in precise locations for target yield goals, reducing GHG-producing applications.