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Recent developments in Unmanned Aerial Vehicles (UAVs) have made them ideal tools for remotely monitoring agricultural fields. Complementary advancements in computer vision have enabled automated post-processing of images to generate dense 3D reconstructions in the form of point clouds. In this paper we present a monitoring pipeline that uses a readily available, low cost UAV and camera for quickly surveying a winter wheat field, generate a 3D point cloud from the collected imagery and present methods for automated crop height estimation from the extracted point cloud and compare our estimates with those using standardized techniques.
Khanna et al. (Tue,) studied this question.