TU Wien Informatics

20 Years

Role

  • Nachhaltige Digitale Zwillinge in der Landwirtschaft / Neubauer, T., Bauer, A., Heurix, J., Iwersen, M., Mallinger, K., Manschadi, A. M., Purcell, W., & Rauber, A. (2024). Nachhaltige Digitale Zwillinge in der Landwirtschaft. Zeitschrift für Hochschulentwicklung, 19, 165–188. https://doi.org/10.21240/zfhe/SH-A/10
  • Digital Twins in agriculture: challenges and opportunities for environmental sustainability / Purcell, W., Neubauer, T., & Mallinger, K. (2023). Digital Twins in agriculture: challenges and opportunities for environmental sustainability. Current Opinion in Environmental Sustainability, 61, Article 101252. https://doi.org/10.34726/4522
    Download: Manuscript (459 KB)
    Project: DiLaAg (2018–2022)
  • Digital Twins in Agriculture: A State-of-the-art review / Purcell, W., & Neubauer, T. (2023). Digital Twins in Agriculture: A State-of-the-art review. Smart Agricultural Technology, 3, Article 100094. https://doi.org/10.1016/j.atech.2022.100094
    Project: DiLaAg (2018–2022)
  • A Digital Twin for Grassland Management / Purcell, W., Klipic, A., & Neubauer, T. (2022). A Digital Twin for Grassland Management. In 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET). 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), Czechia. IEEE. https://doi.org/10.1109/icecet55527.2022.9873446
    Project: DiLaAg (2018–2022)
  • Systemic design requirements for sustainable Digital Twins in precision livestock farming / Mallinger, K., Purcell, W., & Neubauer, T. (2022). Systemic design requirements for sustainable Digital Twins in precision livestock farming. In D. Berckmans, M. Oczak, M. Iwersen, & K. Wagener (Eds.), Precision Livestock Farming ’22 (pp. 718–725). https://doi.org/10.34726/4644
    Download: PDF (1.94 MB)
    Project: DiLaAg (2018–2022)
  • The potential of Explainable Artificial Intelligence in Precision Livestock Farming / Hoxhallari, K., Purcell, W., & Neubauer, T. (2022). The potential of Explainable Artificial Intelligence in Precision Livestock Farming. In D. Berckmans, M. Oczak, M. Iwersen, & K. Wagener (Eds.), Precision Livestock Farming 2022 : papers presented at the 10th European Conference on Precision Livestock Farming (pp. 710–717). University of Veterinary Medicine Vienna. https://doi.org/10.34726/4701
    Download: Full text (169 KB)
    Project: DiLaAg (2018–2022)