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Enhancing Ontario’s grain production using smart farming techniques

In recent decades there has been an increase in the costs associated with crop inputs, the products, and expertise required for producers to have adequate grain production. As a result, crop inputs must be better managed to increase yields, reduce costs, and improve environmental conditions. Current research methods are combining proximal soil sensors that will account for spatial and temporal variability in the soil in combination with UAV (unnamed aerial vehicle) sensing that will capture the variability during crop growth. The goal of this project is to improve soil health and crop yield, ensuring economic and environmental sustainability.

Investigator(s)

Principal investigator: Asim Biswas