Beiträge zu Sammelwerken
- Amon, B.; van Zanten, H.; Snaz-Cobena, A.; Marques-dos-Santos, C.; Corrado, S.; Caldeira, C.; Leip, A.; Hutchings, N. (2023): Chapter 4.The scope to improve nitrogen use efficiency of European food systems. In: Leip, A.; Wollgast, J.; Kugelberg, S.; Costa Leite, J.; Maas, R.; Mason, K.; Sutton(eds.): Appetite for Change Food system options for nitrogen, environment & health. . UK Centre for Ecology and Hydrology (UKCEH), Edinburgh, UK, (ISBN: 978-1-906698-83-6), p. 50-59. Online: https://www.clrtap-tfrn.org 1.0
- Post, S.; Tavakoli, H.; Ostermann, M.; Marek, M.; Bourouah, M.; Bönecke, E.; Kramer, E.; Vogel, S. (2023): Improving estimates of plant-available phosphorus through sensor data fusion at field scale. In: Canavari, M.; Vitali, G.; Mattetti(eds.): 14th European Conference on Precision Agriculture. Unleashing the potential of precision agriculture. Book of Abstracts (Posters). 14th European Conference on Precision Agriculture (ECPA 2023). Dipartimento di Scienze e Tecnologie Agro-alimentari, Bologna, p. 165-166. Online: https://www.ecpa2023.it/wp-content/uploads/2023/07/ECPA-2023-Book-of-Abstracts-Posters.pdf 1.0
- Bykov, K.; Kopf, L.; Nakajima, S.; Kloft, M.; Höhne, M. (2023): Labeling Neural Representations with Inverse Recognition. In: Advances in Neural Information Processing Systems 35 (NeurIPS 2023). NeurIPS 2023. Neural Information Processing Systems, San Diego, p. 1-24. Online: https://doi.org/10.48550/arXiv.2311.13594 1.0
- Bykov, K.; Müller, K.; Höhne, M. (2023): Mark My Words: Dangers of Watermarked Images in ImageNet. In: ICLR2023 workshop on Pitfalls of limited data and computation for Trustworthy ML. ICLR 2023. p. 1-10. Online: https://openreview.net/forum?id=0stsgHlCxS 1.0
- Rezvani, S.; Shamshiri, R.; Moghaddam, J.; Balasundram, S.; Hamed, I. (2022): Digital Agriculture in Iran: Use Cases, Opportunities, and Challenges. In: Shamshiri, R.(eds.): Digital Agriculture, Methods and Applications. . IntechOpen, London, (978-1-80355-462-4), p. 87-105. 1.0
- Shamshiri, R.; Balasundram, S.; Rad, A.; Sultan, M.; Hameed, I. (2022): An Overview of Soil Moisture and Salinity Sensors for Digital Agriculture Applications. In: Shamshiri, R.(eds.): Digital Agriculture, Methods and Applications. . IntechOpen, London, (978-1-80355-462-4), p. 129-154. 1.0
- Germer, S.; Adamseged, M.; Ding, Z.; Heinrich, T.; Hoffmann, T.; Orozco, R.; Park, H.; Grundmann, P. (2022): Grass-based circular solutions for rural agri-food value chains. In: VDI Wissensforum GmbH(eds.): Tagungsband AgEng Landtechnik 2022. AgEng-LAND.TECHNIK 2022. VDI Verlag GmbH, Düsseldorf, (0083-5560/978-3-18092406-9), p. 305-312. 1.0
- Cárdenas, A.; Dragoni, F.; Dollé, J.; Hôte, A.; Amon, B. (2022): LIFE Carbon Farming and Climate Farm Demo: development and implementation of a result-based funding mechanism for carbon farming in European mixed crop livestock systems. In: VDI Wissensforum GmbH(eds.): Tagungsband AgEng Landtechnik 2022. AgEng-LAND.TECHNIK 2022. VDI Verlag GmbH, Düsseldorf, (0083-5560/978-3-18092406-9), p. 313-316. 1.0
- Nausédiené, A.; Meyer-Aurich, A.; Miceikiené, A. (2022): Impact of nitrogen tax on nitrogen us in Lithuania. In: Vytautas Magnus University, Kaunas, Lithuania(eds.): Proceedings of the 10th International Scientific Conference Rural Development 2021. 10th International Scientific Conference RURAL DEVELOPMENT 2021. (ISSN 1822-3230 (Print), ISSN 2345-0916 (Online)), p. 1-5. Online: DOI: https://doi.org/10.15544/RD.2021.066 1.0
- Tapia Zapata, N.; Tsoulias, N.; Saha, K.; Zude-Sasse, M. (2022): Fourier analysis of LiDAR scanned 3D point cloud data for surface reconstruction and fruit size estimation. In: 2022 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). IEEE International Workshop on Metrology for Agriculture and Forestry 2022 (MetroAgriFor 2022). IEEE, Perugia, Italien, (Electronic ISBN:978-1-6654-6998-2), p. 197-202. Online: 10.1109/MetroAgriFor55389.2022.9964881 1.0