This paper expounds the application of crop protection unmanned aerial vehicle technology in smart agriculture.It explores the feasibility of pesticide spraying by agricultural crop protection drones and proposes a deep learning based method that utilizes strapdown inertial navigation systems,Kalman filtering algorithms,and PID algorithms to ensure the stable performance of crop protection drones.Convolutional neural networks(CNN),clustering analysis,and cognitive computing are used to process images and data.
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