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Visible remote sensing of UAV has advantages of low cost, simple operation, real-time acquisition of remote sensing images and high ground resolution. This paper proposed a method of precise classification of cultivated land based on UAV visible remote sensing image. Taking the visible remote sensing image of some cultivated land in Shiqiao Village, Tieyong Town, Huidong County, Guangdong Province as the research object, the area information, shape information and location information of cultivated land were monitored and extracted. Two kinds of vegetation based on visible wave band were used in the image by object-oriented method. Based on the analysis of index, texture and shape information, the better scheme of extracting cultivated land information by classification was studied. After repeated experiments, the segmentation scale 45 and the merging scale 90 were determined as the segmentation parameters. At the same time, the non-planted cropland and other land objects were separated using band information and texture information. The overall accuracy of the method was 89.23%, and the Kappa coefficient was 0.72. The experimental results showed that although there were some cases of mistaken lifting and mistaken lifting of fine plots in the classification of cultivated land using UAV visible remote sensing data, the overall accuracy remained at a high level, which provided a reference for crop classification of cultivated land, and provided precise data basis for precision agriculture. [ABSTRACT FROM AUTHOR]