@misc{01GYCS3WX20TWBHW9RK4QH05ZB,
  abstract     = {{This software contains the code and presentation from the conference paper `` Comparing FSPMs using Unconventional Computing Methods'', presented at FSPM2023 in Berlin. The software to run the analysis can be found on [Github](https://github.com/opieters/fspm2023). The YAML-files (`hydroshoot_environment.yml`, `wheatfspm_environment.yml`) should be used to create the anaonda environments and reproduce the output CSV files. The files are also included for convenience (`hydroshoot.zip` and `WheatFspm.zip`). The source code is also included here in case the original repositories are no longer available on GitHub. The code for the grass leaf model is not yet available because the research paper has not yet been published. The input files (`*_meteo.csv`) is the input meteorological data. The output files all end with `_data.csv`. Import these into the `data` directory from the GitHub code and you should be able to reproduce the results.}},
  author       = {{Pieters, Olivier and De Swaef, Tom and Stock, Michiel and wyffels, Francis}},
  publisher    = {{Zenodo}},
  title        = {{Leveraging FSPMs for Unconventional Computing with Plants}},
  url          = {{http://doi.org/10.5281/ZENODO.7701995}},
  year         = {{2023}},
}

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