Prof. Dr. Niels Landwehr
Wissenschaftler
Abteilung: Nachwuchsgruppe Data Science in Agriculture
Telefon: +49 (0)331 5699 913
E-Mail: NLandwehr@atb-potsdam.de
Mitarbeit in Forschungsprogrammen
Projekte
- SustInAfrica – Sustainable intensification of food production through resilient farming systems in West & North Africa Große Teile landwirtschaftlicher Nutzflächen in West- und Nordafrika sind stark degradiert und leiden unter Wasserknappheit, gering…
- Modellbildung – Modellbildung aus Experimentaldaten: Maschinelles Lernen und Modellevaluierung unter Abhängigkeiten und Verteilungsverschiebungen (Modellbildung) Die Analyse experimentell gewonnener Daten bildet eine Säule des Erkenntnisgewinns in de…
Veröffentlichungen
- Tavakoli, H.; Alirezazadeh, P.; Hedayatipour, A.; Banijamali Nasib, A.; Landwehr, N. (2021): Leaf image-based classification of some common bean cultivars using discriminative convolutional neural networks. Computers and Electronics in Agriculture. (105935): p. 0. Online: https://doi.org/10.1016/j.compag.2020.105935
- Drimalla, H.; Scheffer, T.; Landwehr, N.; Baskow, I.; Roepke, S.; Behnia, B.; Dziobek, I. (2020): Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). npj Digital Medicine. (25): p. 0. Online: https://dx.doi.org/10.1038%2Fs41746-020-0227-5
- Hempel, S.; Adolphs, J.; Landwehr, N.; Janke, D.; Amon, T. (2020): How the selection of training data and modeling approach affects the estimation of ammonia emissions from a naturally ventilated dairy barn - Classical statistics versus machine learning. Sustainability. (3): p. 1030. Online: https://doi.org/10.3390/su12031030
- Hempel, S.; Adolphs, J.; Landwehr, N.; Willink, D.; Janke, D.; Amon, T. (2020): Supervised Machine Learning to Assess Methane Emissions of a Dairy Building with Natural Ventilation. Applied Sciences. (19): p. 6938. Online: https://doi.org/10.3390/app10196938
- Abrahamson, N.; Kuehn, N.; Walling, M.; Landwehr, N. (2019): Probabilistic Seismic Hazard Analysis in California Using Nonergodic Ground-Motion Models. Bulletin of the Seismological Society of America. (4): p. 1235-1249. Online: https://doi.org/10.1785/0120190030
- Drimalla, H.; Landwehr, N.; Hess, U.; Dziobek, I. (2019): From face to face: the contribution of facial mimicry to cognitive and emotional empathy. Cognition & Emotion. (8): p. 1672-1686. Online: https://doi.org/10.1080/02699931.2019.1596068
- Theuerl, S.; Herrmann, C.; Heiermann, M.; Grundmann, P.; Landwehr, N.; Kreidenweis, U.; Prochnow, A. (2019): The Future Agricultural Biogas Plant in Germany: A Vision. Energies. (3): p. 396. Online: https://doi.org/10.3390/en12030396
- Landwehr-Kenzel, S.; Zobel, A.; Hoffmann, H.; Landwehr, N.; Schmueck-Henneresse, M.; Schachtner, T.; Roemhild, A.; Reinke, P. (2018): Ex vivo expanded natural regulatory T cells from patients with end-stage renal disease or kidney transplantation are useful for autologous cell therapy. Kidney International. (6): p. 1452-1464. Online: https://doi.org/10.1016/j.kint.2018.01.021