Published December 19, 2024 | Version 1.0
Dataset Open

Fields2Benchmark dataset

  • 1. ROR icon Wageningen University & Research
  • 2. ROR icon Royal Military Academy
  • 3. EDMO icon CSIC, Central Organisation

Description

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 NetherlandsEstonia 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}
  }

Other references and Licenses

These references have been extracted from EuroCrops.wiki


@Article{schneider2023eurocrops,
    title = {{EuroCrops}: {The} {Largest} {Harmonized} {Open} {Crop} {Dataset} {Across} the {European} {Union}},
    volume = {10},
    copyright = {All rights reserved},
    issn = {2052-4463},
    url = {https://doi.org/10.1038/s41597-023-02517-0},
    doi = {10.1038/s41597-023-02517-0},
    number = {1},
    journal = {Scientific Data},
    author = {Schneider, Maja and Schelte, Tobias and Schmitz, Felix and Körner, Marco},
    month = sep,
    year = {2023},
    pages = {612},
}

The Netherlands

Data source: PDOK (Data from 2009-2022), Nationaal Georegister
License: PDOK Data (CC0 1.0 Universal (CC0 1.0) Public Domain Dedication, no conditions to access and use, no limitations to public access), Nationaal Georegister Data (Public Domain Mark 1.0, No Copyright)

Estonia

Data Source: INSPIRE GEOPORTAL

License Terms:


Lithuania

Data Source: geoportal.lt

Copyright

License Terms:  From Metadata:

Aprašas (Citation)
Metaduomenys (Metadata) / Duomenų resursas (1) (Data Identification (1)) / Aprašas (Citation)
    Pavadinimas (Title): Lietuvos Respublikos teritorijos žemės ūkio naudmenų ir pasėlių plotų, auginamų kultūrų duomenų rinkinys (Data set on the farmland, cropland and crop types of the territory of the Republic of Lithuania)
    Sutrumpintas pavadinimas (Alternate Title): NMA-paseliai (NMA-paseliai)
    Data (Date)
    Metaduomenys (Metadata) / Duomenų resursas (1) (Data Identification (1)) / Aprašas (Citation) / Data (Date)
        Data (Date): 2021-10-08
        Datos tipas (Date Type): Revizija (Revision)
    Unikalus ištekliaus identifikatorius (Unique Resource Identifier): {BFDC920B-3F62-43D6-87F7-EF46B78D4847}


Teisiniai apribojimai (1) (Legal Constraints (1))
Metaduomenys (Metadata) / Duomenų resursas (1) (Data Identification (1)) / Teisiniai apribojimai (1) (Legal Constraints (1))
    Naudojimo ribotumas (Use Limitation): Tik nekomerciniam naudojimui (Non-commercial use only)
    Prieigos apribojimai (Access Constraints): Autoriaus teisės (Copyright)
    Naudojimo apribojimai (Use Constraints): Autoriaus teisės (Copyright)

Files

imgs.zip

Files (145.5 MB)

Name Size Download all
md5:5ba251bafab918e9e676c957f7e7134c
145.3 MB Preview Download
md5:fba3b94d88bfb9b81369b869a1e9a20f
20.1 kB Download
md5:21857f0c335c365168990196ab67a9ac
5.7 kB Preview Download
md5:dc054560af2a388996de201e3fe193dd
211.7 kB Preview Download

Additional details

Related works

Is continued by
Journal: 10.1109/LRA.2023.3248439 (DOI)

Funding

Dutch Research Council
Fields2Cover: Robust and efficient coverage paths for autonomous agricultural vehicles ENPPS.LIFT.019.019

Dates

Updated
2024-12-19

Software

Repository URL
https://github.com/Fields2Cover/Fields2Cover
Programming language
C++ , Python
Development Status
Active