Database on the Performance of Current Agro-Ecological Farming Systems (AEFS) as an Input to the Modelling in WP4

Database on the Performance of Current Agro-Ecological Farming Systems (AEFS) as an Input to the Modelling in WP4

This database contains farm data (e.g. yields) and results (indicators) from assessments with the three decision support tools in the UNISECO case studies: SMART (www.fibl.org/en/themes/smart-en.html), Cool Farm Tool (coolfarmtool.org) and COMPAS (www.thuenen.de). This version (2.0) was developed as...

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Hauptverfasser: Landert, Jan, Pfeiffer, Catherine, Carolus, Johannes, Albanito, Fabrizio, Mueller, Adrian, Baumgart, Lukas, Blockeel, Johan, Schwarz, Gerald, Waisshaidinger, Rainer, Bartel-Kratochvil, Ruth, Hollaus, Alexander, Hrabalová, Andrea, Helin, Janne, Aakkula, Jyrki, Svels, Kristina, Guisepelli, Emmanuel, Fleury, Philippe, Vincent, Audrey, Smyrniotopoulou, Alexandra, Vlahos, George, Iordanidis, Yiannis, Szilágyi, Alfred, Podmaniczky, Laszlo, Balázs, Katalin, Galioto, Francesco, Longhitano, Davide, Rossignolo, Letizia, Povellato, Andrea, Zīlāns, Andis, Jegelevičius, Gražvydas, Frățilă, Mihaela, Iragui Yoldi, Uxue, Astrain Massa, Carlos, Bienzobas Adrian, Jon, Resare Sahlin, Kajsa, Röös, Elin, Frick, Rebekka, Bircher, Richard, Aalders, Inge, Irvine, Katherine N., Kyle, Carol, Miller, David, Sanders, Juern, Smith, Pete
Format: Dataset
Sprache:eng
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Zusammenfassung:This database contains farm data (e.g. yields) and results (indicators) from assessments with the three decision support tools in the UNISECO case studies: SMART (www.fibl.org/en/themes/smart-en.html), Cool Farm Tool (coolfarmtool.org) and COMPAS (www.thuenen.de). This version (2.0) was developed as a benchmark for the assessment of exemplary cases of how the core dilemmas of agro-ecological transitions may be overcome at farm level and as an input to the modelling at territorial level in WP4. This database was created in the course of the H2020 project UNISECO. The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 773901.
DOI:10.5281/zenodo.3593988