Data underlying the publication: Adaptive path planning for efficient object search by UAVs in agricultural fields

DOI:10.4121/bbe97051-07df-4934-b634-701d91a2075e.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/bbe97051-07df-4934-b634-701d91a2075e

Datacite citation style

van Essen, Rick; van Henten, Eldert; Lammert Kooistra; Kootstra, Gert (2025): Data underlying the publication: Adaptive path planning for efficient object search by UAVs in agricultural fields. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/bbe97051-07df-4934-b634-701d91a2075e.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset contains training images and annotation files for detecting artificial plants in a grass field. Additionally, it includes orthomosaics that can be used to create an offline simulation environment using real-world data, as well as the ground truth locations of the artificial plants in the field.

History

  • 2025-06-16 first online, published, posted

Publisher

4TU.ResearchData

Format

.tif, .kml, .prj, .csv, .txt

Organizations

Agricultural Biosystems Engineering, Wageningen University & Research
Laboratory of Geo-information Science and Remote Sensing, Wageningen University & Research

DATA

Files (10)