| Towards a distributed digital twin of the agricultural landscape M Moshrefzadeh, T Machl, D Gackstetter, A Donaubauer, TH Kolbe Journal of Digital Landscape Architecture 5, 173-118, 2020 | 35 | 2020 |
| Autonomous field management–An enabler of sustainable future in agriculture D Gackstetter, M von Bloh, V Hannus, ST Meyer, W Weisser, C Luksch, ... Agricultural Systems 206, 103607, 2023 | 25 | 2023 |
| Smart Rural Areas Data Infrastructure (SRADI)–an information logistics framework for digital agriculture based on open standards D Gackstetter, M Moshrefzadeh, T Machl, TH Kolbe Gesellschaft für Informatik eV, 2021 | 13 | 2021 |
| FAIRagro: Ein Konsortium in Der Nationalen Forschungsdateninfrastruktur (NFDI) Für Forschungsdaten in Der Agrosystemforschung: Herausforderungen und Lösungsansätze für den … X Specka, D Martini, C Weiland, D Arend, S Asseng, F Boehm, T Feike, ... Informatik Spektrum 46 (1), 24-35, 2023 | 5 | 2023 |
| Advancing Transnational Assessments of Biodiversity Drivers in European Agriculture with an Updated Hierarchical Crop and Agriculture Taxonomy (HCAT) M Schneider, D Gackstetter, J Prexl, ST Meyer, M Körner | 1 | 2024 |
| Approaching holistic crop type mapping in Europe through winter vegetation classification and the Hierarchical Crop and Agriculture Taxonomy D Gackstetter, M Körner, K Yu International Journal of Applied Earth Observation and Geoinformation 134 …, 2024 | | 2024 |
| sensorHUB–a Novel, Open-source Software Stack for Enhanced Accessibility and Secure Interoperability in IoT Project Management D Gackstetter, P Varoshi, S Asseng The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2024 | | 2024 |
| Auf dem Weg zu einem verteilten digitalen Zwilling der Agrarlandschaft M Moshrefzadeh, T Machl, D Gackstetter, A Donaubauer, TH Kolbe Allgemeine Vermessungs-Nachrichten: AVN, 2022 | | 2022 |
| Sensornetzwerke in Stadt und Land-Alternativen zu 5G B WILLENBORG, D GACKSTETTER Geoinformations-systeme 2020, 42, 2020 | | 2020 |
| Anticipatory Fleet Redistribution Using Multi-Agent Deep Reinforcement Learning D Gackstetter | | 2019 |
