This research addresses the complex interactions between plant canopies and air velocity in enclosed greenhouse environments during wind-driven pesticide application. Traditional methods struggle to analyze the patterns of aerosol deposition within the canopy. This thesis develops a model for the distribution of aerosol deposition across crop canopies based on the SIMPLE algorithm and Lagrange discrete phase models. It simulates the trajectory changes of droplets under five airflow angles: 5 m/s, 10 m/s, 15 m/s, 20 m/s, 25 m/s and five spraying speeds: 0°, 4°, 8°, 12°, 16°. Subsequently, the paper constructs a regression model linking droplet deposition rates to the airflow velocity at the intake. Analysis of droplet trajectories reveals that droplet size significantly influences the distribution of aerosol deposition; smaller droplets travel further and gradually decrease in number due to evaporation. Optimal airflow velocities yield higher deposition rates per unit area. The initial speed of airflow at the intake directly impacts deposition rates: there is a positive correlation between airflow velocity at the intake and droplet deposition rates; increasing the initial airflow speed enhances the deposition rate.