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ORCIDPhilipp Daniel König
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2020 – today
- 2023
[c5]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- [c4]Christoph Manss, Kai von Szadkowski, Janis Bald, David Richard, Christian Scholz, Philipp Daniel König, Arno Ruckelshausen:
Towards selective hoeing depending on evaporation from the soil. GIL Jahrestagung 2023: 149-158 - 2022
- [j1]Christian Meltebrink
, Magnus Komesker, Carolina Kelsch, Philipp Daniel König, Mario Jenz, Marvin Strotdresch, Benjamin Wegmann, Cornelia Weltzien, Arno Ruckelshausen:
REDA: A New Methodology to Validate Sensor Systems for Person Detection under Variable Environmental Conditions. Sensors 22(15): 5745 (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 - 2020
- [c2]Philipp Daniel König, Hans-Peter Maurer, Mario Jenz, Kim Möller, Jan Neuweiler, Dominik Nieberg, Johannes Trini, Tobias Würschum, Arno Ruckelshausen:
Einsatz eines Thermografiekamerasystems in der Hoch- durchsatz-Phänotypisierung von Getreidefeldversuchen. GIL Jahrestagung 2020: 139-144 - [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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