Based On UAV Route Planning And Image Stitching Technology Area Assessment Of Farmland Floods

Plant protection drones are new types of agricultural equipment.It is currently a research hotspot in the field of agricultural aviation from new technologies.With the development of aviation technology and control technology,the autonomy of operations has become the main research direction of plant protection drones.At the same time,drone aerial photography is a new type of remote sensing.It has the advantages of strong timeliness,low cost,flexibility and speed,and the application field is more and more extensive.This article uses the advantages of plant protection drones in intelligent agricultural equipment and aerial photography.The autopilot was embedded in the plant protection drone to assess the disaster area of the farmland flood in Fang Zheng County,Harbin City,Heilongjiang Province.The two main technical means involved are the route planning of the plant protection drone and the stitching technology of the aerial image.The research content of the plant protection UAV route planning method is less and has relative limitations.Therefore,this paper conducts an in-depth study on the planning method of plant protection drone route.According to the calculated aerial height and flight angle of the drone,the full coverage test of the UAV route planning was carried out.A verification flight was carried out on the reliability of the drone.The method used is based on Gauss-Kruger's orthographic projection method to construct the environmental coordinate system.The coordinate course conversion of the course is provided,which provides an effective mathematical environment for UAV route planning research.Aiming at the convex single working area,a working route planning method based on improved grid method was proposed.The result proved that the method effectively solved the problem of full coverage of the work area.The SIFT algorithm was used to analyze the image mosaic at multiple levels and multiple angles.Three sets of image data were selected for verification during the registration process.Experiments show that the algorithm has high image stitching accuracy.The image can reflect the disaster situation of the actual field.Based on route planning technology and image stitching technology.This experiment also made a discussion and research on the selection and pre-flight inspection of the plant protection drone autopilot.The drone selected the JOUAV AP-200 autopilot produced by Cheng Du Zong Heng Co.,Ltd.The area affected by the field was assessed at 276/m~2 and spread to the southeast.The results of this pilot study are effective in statistically reporting the disaster situation and predicting the spread of floods.To lay a solid foundation for disaster relief and disaster reduction.At the same time,it makes job management more convenient.It also helps to promote agricultural plant protection in a more intelligent,efficient,green,energy-saving and intelligent way.