Version 1
: Received: 28 March 2023 / Approved: 29 March 2023 / Online: 29 March 2023 (11:47:00 CEST)
How to cite:
Soki, N.; Emaru, T. UAV-LiDAR-based 3D Mapping of Apple Orchards and Automatic Georeferencing of Segmented Apple Tree Locations. Preprints2023, 2023030507. https://doi.org/10.20944/preprints202303.0507.v1
Soki, N.; Emaru, T. UAV-LiDAR-based 3D Mapping of Apple Orchards and Automatic Georeferencing of Segmented Apple Tree Locations. Preprints 2023, 2023030507. https://doi.org/10.20944/preprints202303.0507.v1
Soki, N.; Emaru, T. UAV-LiDAR-based 3D Mapping of Apple Orchards and Automatic Georeferencing of Segmented Apple Tree Locations. Preprints2023, 2023030507. https://doi.org/10.20944/preprints202303.0507.v1
APA Style
Soki, N., & Emaru, T. (2023). UAV-LiDAR-based 3D Mapping of Apple Orchards and Automatic Georeferencing of Segmented Apple Tree Locations. Preprints. https://doi.org/10.20944/preprints202303.0507.v1
Chicago/Turabian Style
Soki, N. and Takanori Emaru. 2023 "UAV-LiDAR-based 3D Mapping of Apple Orchards and Automatic Georeferencing of Segmented Apple Tree Locations" Preprints. https://doi.org/10.20944/preprints202303.0507.v1
Abstract
In this paper, we propose a system to create high-precision maps using UAV-LiDAR and to determine the location of individual fruit trees (apple trees) on the maps. The system is based on a UAV-LiDAR system that flies over an actual orchard. A UAV was flown over an actual orchard, and the point cloud of the onboard LiDAR and the location information of RTK-GNSS were obtained. The system records the LiDAR point cloud and RTK-GNSS position information. Automated software processes point cloud data offline and Automated software processes point cloud data offline and automatically segments each apple tree in the map. The RTK-GNSS position information is used for the segmented trees. The positional information obtained from RTK-GNSS was georeferenced to the segmented trees without using ground evaluation points. As a sample, location information was obtained from trees using the Quasi-Zenith Satellite System (QZSS) MICHIBIKI. The positional accuracy of the trees was evaluated using the positional information obtained from the Quasi-Zenith Satellite System MICHIBIKI as a reference. As a result, the alignment accuracy was sufficient to identify individual fruit trees.
Keywords
UAV; LiDAR; Apple Orchard; georeferencing; GNSS
Subject
Engineering, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
