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FCC Thought Leadership exploring AI opportunities for Canadian agriculture and food

Reference: FCC

A soon-to-be-released report from Farm Credit Canada suggests that ecosystem factors, rather than access to technology, are delaying AI adoption in Canadian agriculture.

Artificial Intelligence (AI) is no longer a future concept for agriculture and food. Around the world, AI is already being used to optimize inputs, manage risk, improve yields, strengthen supply chains, and support more resilient food systems. Yet in Canada, progress remains uneven. Adoption is advancing in pockets, but system-wide impact has been lagging.

On July 14th, FCC Thought Leadership will release a new report, AI In Canadian Agriculture: Present Challenges and Future Prospects, that will explore what AI could mean for Canadian agriculture and food. The report looks beyond individual technologies to examine how AI fits into the broader agriculture and food ecosystem that supports producers, processors, agribusinesses, and the institutions that connect them.

As the agriculture and food sector faces mounting pressure from climate volatility, labour constraints, geopolitical uncertainty, and rising costs, the question is no longer whether AI has potential. The more pressing question is whether Canada is positioned to capture that potential in a way that strengthens productivity, resilience, and competitiveness over the long term.

Canada has strong foundations, but progress is uneven

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