Designing and Testing a UAV Mapping System for Agricultural Field Surveying
AbstractA Light Detection and Ranging (LiDAR) sensor mounted on an Unmanned Aerial Vehicle (UAV) can map the overflown environment in point clouds. Mapped canopy heights allow for the estimation of crop biomass in agriculture. The work presented in this paper contributes to sensory UAV setup design for mapping and textual analysis of agricultural fields. LiDAR data are combined with data from Global Navigation Satellite System (GNSS) and Inertial Measurement Unit (IMU) sensors to conduct environment mapping for point clouds. The proposed method facilitates LiDAR recordings in an experimental winter wheat field. Crop height estimates ranging from 0.35–0.58 m are correlated to the applied nitrogen treatments of 0–300
Externally hosted supplementary file 1
Description: Project homepage containing CAD models, schematics, source code and recorded data.
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Christiansen, M.P.; Laursen, M.S.; Jørgensen, R.N.; Skovsen, S.; Gislum, R. Designing and Testing a UAV Mapping System for Agricultural Field Surveying. Sensors 2017, 17, 2703.
Christiansen MP, Laursen MS, Jørgensen RN, Skovsen S, Gislum R. Designing and Testing a UAV Mapping System for Agricultural Field Surveying. Sensors. 2017; 17(12):2703.Chicago/Turabian Style
Christiansen, Martin P.; Laursen, Morten S.; Jørgensen, Rasmus N.; Skovsen, Søren; Gislum, René. 2017. "Designing and Testing a UAV Mapping System for Agricultural Field Surveying." Sensors 17, no. 12: 2703.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.