My master’s research focused on optimizing phosphorus fertilization strategies in Eastern Canadian corn production systems. I integrated field experimentation with crop response modeling using R programming to evaluate the effects of banded phosphorus applications, both with and without cattle manure, on corn yield performance.
Developed predictive models to simulate grain yield outcomes under varying fertilization regimes, aiming to improve phosphorus use efficiency and inform data-driven nutrient management.
Analyzed long-term trial data to assess interactions between soil fertility, organic amendments, and environmental conditions, linking agronomic responses to site-specific variability.
Contributed to the advancement of sustainable phosphorus management by applying statistical and modeling techniques to optimize input use and minimize environmental losses.
Gained expertise in soil fertility diagnostics, environmental soil chemistry, and the integration of agronomic data science for practical decision-support in precision agriculture.