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AI Adoption Could Boost Canadian Ag Competitiveness: FCC Report

Faster adoption of artificial intelligence could improve productivity, resilience and global competitiveness across Canadian agriculture, but the sector continues to lag other industries and leading countries, according to a new Farm Credit Canada report. 

The report, AI in Canadian Agriculture: Present Challenges and Future Prospects, was developed with Deloitte Canada and points to Canada’s world-class research capacity, trusted food system and expanding ag-tech sector as a strong foundation for greater AI use. 

However, adoption remains limited and uneven. As of the second quarter of 2025, only 1.8% of Canadian agricultural businesses were using AI, compared with 12.2% across other industries. Just 61% of businesses in agriculture, forestry, fishing and hunting had adopted advanced technologies, placing the sector ninth among 12 industries. 

Canada also ranked 25th globally for private investment in agricultural research and development and continued to trail its G7 counterparts in AI adoption. 

“Leading countries have advanced more rapidly through coordinated investment, strong public-private collaboration, and clear policy direction,” Darren Baccus, executive vice-president of agri-food, alliances and FCC Capital said in a release Thursday. 

He warned that without action, adoption will remain fragmented and Canada could fall further behind its competitors. 

The report said the main obstacles are not a lack of available technology, but broader structural challenges. These include weak rural connectivity, fragmented digital infrastructure, shortages of skilled workers, limited access to capital, and unclear governance and regulatory frameworks. 

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Dr. Fei Yang Discusses Corn Rootworm, European Corn Borer, and Pest Monitoring

Video: Dr. Fei Yang Discusses Corn Rootworm, European Corn Borer, and Pest Monitoring

What insect threats are Minnesota corn growers facing, and what research is helping farmers stay ahead of them?

At the 2026 MN Ag Expo, University of Minnesota entomologist Fei Yang shared updates on three Minnesota Corn-supported research projects focused on insect monitoring, seed treatments, and pest resistance.

Current work includes statewide monitoring programs that use pheromone, light, and sticky traps to track key pests such as black cutworm, true armyworm, corn earworm, European corn borer, and corn rootworm. Researchers are also evaluating whether high-rate seed treatments provide effective corn rootworm control and studying the development of resistance in European corn borer populations to Bt corn traits.

These projects help researchers better understand pest pressures across Minnesota and provide farmers with practical information to support informed management decisions.