Leveraging FSPMs for Unconventional Computing with Plants

<p>This software contains the code and presentation from the conference paper `` Comparing FSPMs using Unconventional Computing Methods&#39;&#39;, presented at FSPM2023 in Berlin.</p> <p>The software to run the analysis can be found on [Github](https://github.com/opieters/fspm2023).</p> <p>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.</p> <p>The code for the grass leaf model is not yet available because the research paper has not yet been published.</p> <p>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.</p>