Optimal Fertilizer Application Decision Under Crop Price and Weather Uncertainty, HaldimandNorfolk District, Ontario

The main goal of this research is to model the farmers optimal agricultural fertilization behaviour under two uncertainties: 1) crop price uncertainty and 2) weather uncertainty. The weather uncertainty takes into consideration two factors: precipitation and temperature. Understanding the factors that influence farmers decisions on fertilizer application could help to update the recommended fertilizer application rate and support the design of best management practices in fertilizer application. This understanding of farmers' behaviour under uncertainty, can then inform nutrient control strategies, aimed at reducing nutrient inputs to the Great Lakes. This data set is collected to support the project titled Lake Futures: Enhancing Adaptive Capacity and Resilience of Lakes and Their Watersheds: Work Package 4'. Lake Futures is a Pillar 3 project under the Global Water Futures Program funded by Canada First Research Excellence Fund.