By refining the operational parameters of sprayers, the deposition of pesticide droplets on target surfaces is significantly enhanced. Employing Computational Fluid Dynamics (CFD), a swaying nozzle spray model was developed, integrating the tomato canopy into the CFD simulation. This model captures the greenhouse airflow under varying nozzle swaying speeds. The movement paths of the droplets are computed using a discrete phase model, which facilitates the establishment of a comprehensive droplet deposition model. A regression analysis was employed to develop a model for the coefficient of variation in droplet deposition. At a nozzle rotation speed of 0.08 radians per second, the droplet distribution's coefficient of variation is minimized at 0.489, indicating the most uniform distribution.