Three Dimensional Agricultural Land Modeling using Unmanned Aerial System (UAS)

Nowadays, the unmanned aerial vehicles (UAVs) drones are mostly used in civil and military fields for security and monitoring purposes. They are also involved in the development of electronics communications and navigation systems. The UAVs are the aerial vehicles with a built-in power system having capability of controlling by a remote control system or leads to fly automatically. Rapid increase in their use due to sensors mobility in its small size that becomes the UAVs to fly at lower altitude and their significant contributions to the image processing studies, where the photogrammetric surveys in small scale areas are given importance for landslide and erosion monitoring. This paper is going to consider agriculture activities like detecting crop diseases, finding crop patterns and conduct small scale agriculture policies for study and research. In our study, the UAV drone is used for the image data collection purpose and structure form motion (SfM), algorithmic approach is utilized for producing the volumetric structure or 3-D structure of images. These 3-dimensional structures are further used for building information modeling systems and performing different operations like image classification, enhancement and segmentation. Our approach highlights better and efficient results than others agriculture images approaches captured by UAVs at high altitude.