The application discloses a kind of based on unmanned aerial vehicle and
deep learning's
field crop seedling high-precision detection method.The method is first obtained by unmanned aerial vehicle shooting high-definition
remote sensing image, then these images are spliced into DOM image with geographic coordinates by unmanned aerial vehicle
image processing software, DOM image is
cut, detected, spliced and handled step by step, to obtain the specific location and size information of
field crop seedling.Combining
data analysis and
image processing technology, further obtain
field crop seedling information.In the key link of detection and splicing, the application adopts IoA method, which is used to eliminate the errors produced in the detection process of
deep learning model and the deviation brought by image
cutting process.The results show that, when identifying field
crop seedling, the seedling counting accuracy of the method reaches more than 95.3%, and the mAP index is not less than 87.1%.The method provides an effective technical approach for high-precision detection of field
crop seedling.