Agriculture Canada is predicting solid yields for most crops on the Prairies, based on computer modelling that was done at the end of July.
At the national level, the Canadian Crop Yield Forecaster model predicts above-average yields per unit area for 11 of the 12 spring-planted crops compared to the average yields of 2020-24.
Based on these yield projections and the estimated harvest areas from Statistics Canada’s June 2025 Farm Survey, above-average total national production is predicted for spring wheat, winter wheat, durum wheat, canola, corn for grain, soybeans, dry peas, lentils, canary seed and fall rye.
To produce the forecast, Agriculture Canada scientists use computer simulations that consider a broad set of available information.
It includes agro-climate data, such as precipitation, summer temperatures and soil moisture, in combination with the normalized difference vegetative index, which are satellite images that measure the health and density of vegetation.
