Beiträge zu Sammelwerken
- Reim, S.; Maß, V.; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, E.; Geyer, M.; Pflanz, M. (2023): Development of a high-throughput phenotyping method for European pear rust using UAV-based RGB imagery. In: 55. Gartenbauwissenschaftliche Jahrestagung KI-Technologie in den Gartenbauwissenschaften - Risiken und Chancen in Wissenschaft und Praxis, Kurzfassung der Vorträge und Poster. 55. Gartenbauwissenschaftliche Jahrestagung KI-Technologie in den Gartenbauwissenschaften - Risiken und Chancen in Wissenschaft und Praxis. (1613-088X), p. 53-0. Online: https://dgg-online.org/website_neu/wp-content/uploads/2023/02/Tagungsband-55-Jahrestagung-2023.pdf 1.0
- Bykov, K.; Kopf, L.; Höhne, M. (2023): Finding Spurious Correlations with Function-Semantic Contrast Analysis. In: Longo, L.(eds.): Conference proceedings, Part II: eXplainable Artificial Intelligence. First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023. 1st World Conference On eXplainable Artificial Intelligence (xAI 2023). Springer, Cham, Switzerland, (1865-0929/978-3-031-44066-3), p. 549-572. Online: https://doi.org/10.1007/978-3-031-44067-0_28 1.0
- Penzel, M.; Tsoulias, N.; Handtke, N.; Gubin, E.; Zude-Sasse, M. (2023): Cherry tree performance in response to varying soil apparent electrical conductivity within the rooting zone. In: Serra, S.; Lauri, P.(eds.): XXXI International Horticultural Congress (IHC2022): International Symposium on Innovative Perennial Crops Management. 31th International Horticultural Congress (IHC 2022). ISHS, Angers, (0567-7572 (print) 2406-6168 (electronic)), p. 289-295. Online: https://www.actahort.org/books/1366/1366_34.htm 1.0
- Zude-Sasse, M. (2023): Nondestructive Sensing Technology for Analyzing Fruit and Vegetables. In: Zhang, Q.(eds.): Encyclopedia of Smart Agriculture Technologies. . Springer Cham, (978-3-030-89123-7), p. 1-7. Online: https://link.springer.com/referenceworkentry/10.1007/978-3-030-89123-7_170-1 1.0
- Zude-Sasse, M. (2023): Anwendung von Pflanzensensoren in digitalen Zwillingen. In: Frerichs, L.(eds.): Jahrbuch Agrartechnik 2022. . Institut für Mobile Maschinen und Nutzfahrzeuge, TU Braunschweig, Braunschweig, p. 1-9. Online: https://doi.org/10.24355/dbbs.084-202301130837-0 1.0
- Tsoulias, N.; Baranyay, L.; Zude-Sasse, M. (2023): Quantifying temperature on apple surface by means of thermal point cloud. In: Canavari, M.; Vitali, G.; Mattetti, M.(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. 179-180. Online: https://www.ecpa2023.it/wp-content/uploads/2023/07/ECPA-2023-Book-of-Abstracts-Posters.pdf 1.0
- Maß, V.; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fritzsche, E.; Geyer, M.; Pflanz, M.; Reim, S. (2023): Development of a high-troughput monitoring system for fire blight in fruit orchards. In: Canavari, M.; Vitali, G.; Mattetti, M.(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. 171-172. Online: https://www.ecpa2023.it/wp-content/uploads/2023/07/ECPA-2023-Book-of-Abstracts-Posters.pdf 1.0
- Hobart, M.; Giebel, A.; Schirrmann, M. (2023): Plant health assessment with thermal and multi-spectral UAV imagery in winter rye crops. In: Stafford, J.(eds.): Precision Agriculture ´23, Papers presented at the 14th European Conference on Precision Agriculture. 14th European Conference on Precision Agriculture (ECPA 2023). Wageningen Academic Publishers, Wageningen, p. 917-924. 1.0
- Alirezazadeh, P.; Schirrmann, M.; Stolzenburg, F. (2023): Weed detection in winter wheat field using improved-YOLOv4 with attention module from UAV imagery. In: Stafford, J.(eds.): Precision Agriculture ´23, Papers presented at the 14th European Conference on Precision Agriculture. 14th European Conference on Precision Agriculture (ECPA 2023). Wageningen Academic Publishers, Wageningen, p. 369-376. 1.0
- Reim, S.; Maß, V.; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fritzsche, E.; Geyer, M.; Pflanz, M. (2023): Establishment of a UAV-based phenotyping method of European pear rust in fruit orchards. In: Stafford, J.(eds.): Precision Agriculture ´23, Papers presented at the 14th European Conference on Precision Agriculture. 14th European Conference on Precision Agriculture (ECPA 2023). Wageningen Academic Publishers, Wageningen, p. 611-617. 1.0