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ORCIDMatthias Igelbrink
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2020 – today
- 2023
[j1]Mark Niemeyer
, Marian Renz, Maren Pukrop, David Hagemann, Tim Zurheide, Daniel Di Marco, Markus Höferlin, Philipp Stark, Florian Rahe, Matthias Igelbrink, Mario Jenz, Thomas Jarmer, Dieter Trautz, Stefan Stiene, Joachim Hertzberg:
Cognitive Weeding: An Approach to Single-Plant Specific Weed Regulation. Künstliche Intell. 37(2): 175-181 (2023)- [c4]Naeem Iqbal, Christoph Manss, Christian Scholz, Philipp Daniel König, Matthias Igelbrink, Arno Ruckelshausen:
AI-based Maize and Weeds detection on the edge with CornWeed Dataset. FedCSIS 2023: 577-584 - 2022
- [c3]Philipp Daniel König, Matthias Igelbrink, Christian Scholz, Andreas Linz, Arno Ruckelshausen:
Entwicklung einer flexiblen Sensorapplikation zur Erzeugung von validen Daten für KI-Algorithmen in landwirtschaftlichen Feldversuchen. GIL Jahrestagung 2022: 165-170 - 2021
- [c2]Burawich Pamornnak, Christian Scholz, Dominik Nieberg, Matthias Igelbrink, Arno Ruckelshausen:
Field plant characterization method based on a multi-wavelength line profiling system. GIL Jahrestagung 2021: 241-246 - 2020
- [c1]Dominik Nieberg, Mario Jenz, Kim Möller, Philipp Daniel König, Matthias Igelbrink, Amine Abbadi, Ulf Feuerstein, Arno Ruckelshausen:
Mobiles Hochdurchsatz-Phänotypisierungssystem für Feldversuche in Raps. GIL Jahrestagung 2020: 205-210
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