‘Cautiously Optimistic’: Canada’s Agri-Food Sector Requires Coordinated Approach to AI

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Adopting artificial intelligence across the agri-food sector requires a coordinated integration, otherwise Canada risks falling behind in both productivity and market competitiveness.

Adopting artificial intelligence across the agri-food sector requires a coordinated integration, otherwise Canada risks falling behind in both productivity and market competitiveness.

This conclusion from Dr. Rozita Dara, professor and Research Impact Leadership Chair, co-director of AI4Food, is outlined in a new report, “AI 4 Food: Artificial Intelligence for a Thriving Agri-Food Ecosystem in Canada.”

The report is the culmination of a three-part national dialogue series that brought together academics, government, industry and producers. At issue was Canada’s positioning for AI implementation in agriculture and food systems, food safety and data sovereignty.

The use of AI and other data-driven technologies in all sectors is rapidly growing. “Food systems cannot be an exception,” Dara says.

Read More: University of Guelph

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