Statistical on Agricultural Machinery Operation Area Based on Beidou Positioning Data

In view of the traditional manual field survey and statistics of agricultural machinery operation effective area, overlapping area and missing area, which is time-consuming, laborious and large error, this paper uses Beidou positioning terminal to collect agricultural machinery driving track information in real time and upload it to the cloud for storage. After the cloud server preprocesses the Beidou data, the data is analyzed by spatial clustering algorithm, which can be self-adaptive Finally, the contour method and grid algorithm are used to analyze and count the effective operation area, missing area and overlapping area. Through the operation experiments of 15 plots, it shows that this algorithm can well count the effective, omitted and overlapping operation areas, and the maximum absolute value of the statistical error of the effective operation area can be less than 4%, most of which are less than 2%, and the statistical accuracy can meet the needs of engineering.