U of G generative AI work predicts rising food costs in 2025
Machine learning predictions from University of Guelph researchers are helping Canadians get a better picture of what they will need to spend on groceries next year.
The 2025 Canada Food Price Report, now in its 15th edition, relies on a team of U of G researchers in food science, food economics, global food sustainability and artificial intelligence to inform food price predictions for the next year.
The 2025 report predicts food prices will rise by three to five per cent next year, meaning an average family of four should expect to spend $16,833.67 on food in 2025, an increase of $801.56 from 2024. The highest increases are expected in meat and vegetables.
Dr. Graham Taylor, professor in the School of Engineering and lead researcher of the Machine Learning Research Group, has helped forecast food prices for the report over the past six years.
“Our team uses machine learning to build models that look at historical food price data and other factors that can then forecast what food prices will be in the next year,” he says.
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