Machine Learning

Growing the Digital Agriculture Industry

EMILI has been working closely with University of Winnipeg researchers since 2019 to develop innovative technologies such as a crop identification algorithm used to identify different varieties of plants. This algorithm was developed from the robust database of millions of labelled images of prairie crops and weeds imaged on Rutherford Farms, now home of Innovation Farms Powered by AgExpert.

Advancements in technology, autonomous robotics, and machine learning are revolutionizing the agriculture industry.  The applications of these technologies for productivity, profitability and sustainability are immense. Intelligent technologies produce vast amounts of data to drive insights, decision-making, research and other value-added components. Insights derived from this data will increase crop yields, expedite crop breeding and optimize input application and other agricultural practices.

Read about innovations in machine learning

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Digital agriculture in Manitoba
University of Winnipeg
Person operating high-tech farm equipment
Growing Digital Agriculture
University of Winnipeg
Remote operator standing in field with R-Tech Rover
Advancing digital agriculture
University of Winnipeg

Thank you to our partners

Working together, we can increase integration of intelligent technologies, empower people with digital skills, support scale-ups to grow in the prairies, and accelerate Canada's growth as a leader in digital agriculture. Email info@emilicanada.com to learn about ongoing projects and partnership opportunities, and click on our partner's logo below for more information on the organization supporting this initiative.

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