Fields2Benchmark dataset

The Fields2Benhmark dataset is a collection of 350 agricultural fields in vector format manually selected to test agricultural coverage path planning algorithms.

The files in this dataset are organized into two folders:

• imgs/: contains the satellite images of the fields.
• wkt/: has the vector data of the fields.

A file with the same name in both folders corresponds to the same field. The first two letters in the name of the field indicate the country the field belongs to.

The fields have been extracted from the EuroCrops dataset --specifically from the Netherlands, Estonia and Lithuania --, transformed each field into its own file, and converted them to Well-Known text (wkt). The satellite images were also provided, and they were created using the Mapping Toolbox from Matlab.

Funding

This dataset is provided as part of the project "Fields2Cover: Robust and efficient coverage paths for autonomous agricultural vehicles" (with project number ENPPS.LIFT.019.019 of the research programme Science PPP Fund for the top sectors which is (partly) financed by the Dutch Research Council (NWO).

  @article{Mier_Fields2Cover_An_open-source_2023,
    author={Mier, Gonzalo and Valente, João and de Bruin, Sytze},
    journal={IEEE Robotics and Automation Letters},
    title={Fields2Cover: An Open-Source Coverage Path Planning Library for Unmanned Agricultural Vehicles},
    year={2023},
    volume={8},
    number={4},
    pages={2166-2172},
    doi={10.1109/LRA.2023.3248439}
  }