Plant Protection Drone Spraying And Drift Reduction Method Based On Path Fine-tuning Algorithm

Agricultural production is a key factor for food supply security,economic development and social stability in China.The use of pesticides provides a more favorable environment for crops and protects the healthy growth of crops.However,the unscientific use of pesticides can cause crop yield reduction or even death,environmental pollution and ecological damage.At present,some researchers have proposed a method for automatically changing the flight parameters of the plant protection drone during the spraying operation,thereby changing the flight path of the plant protection drone,and finally achieving the method of reducing the drift of fog droplets caused by the wind.This method of self-adjusting the application route uses wireless sensor networks to obtain meteor ological data in the application area,and then uses the weather data to guide plant protection drones to adjust the application route,thereby increasing the actual deposition rate of the spray droplets in the target area.However,this method currently has the disadvantages of complicated adjustment algorithm,long calculation time of adjustment parameters,poor real-time performance and high networking cost.In order to overcome the above shortcomings,this paper proposes a method for adjusting the application path of the plant protection drone based on the Raspberry Pi 4B.This method enables the plant protection drone to start at the beginning of each application path of the application process according to the current meteorological data Perform real-time adjustments to keep pesticide droplets accurately deposited in the target area.This study is based on the current research on the droplet drift of multi-rotor plant protection UAVs.After analyzing some simplified parameters,a simplified mist droplet drift model is established;based on the particle swarm optimization algorithm,the simplified mist droplet drift model and spraying are combined Process,the route fine-tuning strategy with fewer flight attitude adjustments is obtained,and the optimization function of the route fine-tuning method is obtained.The plant protection drone spraying path fine-tuning algorithm is established;Calculate the fine-tuning parameters of the application route,thus realizing real-time adjustment of the application route.Finally,this study first simulated the drift reduction method through real weather data,and then used the Raspberry Pi 4B as the embedded hardware device of the drift reduction method and tested its performance.The simulation results show that,under suitable meteorological conditions,the proposed method for reducing plant spraying based on the path fine-tuning algorithm can effectively reduce 63.33% of the droplet drift.When using the Raspberry Pi 4B as an embedded hardware device,the average calculation time for adjusting the parameters is 0.229 s.