Publikationen

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Christoph Tieben; Benjamin Kisliuk; Muhammad Moiz Sakha; Naeem Iqbal; Florian Daiber; Matthias Enders; Antonio Krüger; Joachim Hertzberg
PORTAL - Plant breeding using robotics and AI for advanced data analysis and decision-making in virtual space
44. GIL-Jahrestagung, Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft (GIL-2024), 2/2024.
Naeem Iqbal; Christoph Manss; Christian Scholz; Daniel Koenig; Matthias Igelbrink; Arno Ruckelshausen
AI-based Maize and Weeds detection on the edge with CornWeed Dataset
In: Proceedings of the 18th Conference on Computer Science and Intelligence Systems. Workshop on AI in Agriculture (AgriAI-2023), located at 18th …
Naeem Iqbal; Justus Bracke; Anton Elmiger; Hunaid Hameed; Kai von Szadkowski
Evaluating Synthetic vs. Real Data Generation for AI-Based Selective Weeding
In: Resiliente Agri-Food-Systeme: Herausforderungen und Lösungsansätze. GIL-Jahrestagung (GIL-2023), February 13-14, Osnabrück, Germany, Gesellschaft …
Naeem Iqbal; Mark Niemeyer; Jan Christoph Krause; Joachim Hertzberg
Scalable Evaluation Pipeline of CNN-based perception for Robotic Sensor Data under different Environment Conditions
In: 2023 European Conference on Mobile Robots. European Conference on Mobile Robots (ECMR-2023), September 4-7, Coimbra, Portugal, IEEE, 2023.
Jan Christoph Krause; Naeem Iqbal; Mark Niemeyer; Benedikt Thy; Lutz Plagge; Hannes Hollmeier; Arno Ruckelshausen; Sebastian Röttgermann; Alexander Tauber; Jens Herbers; Stefan Menke; Joachim Hertzberg
AI-TEST-FIELD – A Test Environment for the Automated Evaluation of Methods for Robust and Reliable Environment Perception
In: LAND.TECHNIK AgEng 2023. International Conference Agricultural Engineering (LAND.TECHNIK-2023), 80th International Conference on Agricultural …
Jan Christoph Krause; Sebastian Röttgermann; Matthias Müter; André Berghaus; Jens Herbers; Stefan Menke; Jaron Martinez; Dominik Nieberg; Arno Ruckelshausen; Naeem Iqbal; Mark Niemeyer; Stefan Stiene; Joachim Hertzberg
Concept of a Test Environment for the Automated Evaluation of Algorithms for Robust and Reliable Environment Perception
In: Barbara Sturm; Henning Meyer (Hrsg.). LAND.TECHNIK 2022 The Forum for Agricultural Engineering Innovations. International Conference Agricultural …

PORTAL - Plant breeding using robotics and AI for advanced data analysis and decision-making in virtual space

AI-based Maize and Weeds detection on the edge with CornWeed Dataset

Evaluating Synthetic vs. Real Data Generation for AI-Based Selective Weeding

Scalable Evaluation Pipeline of CNN-based perception for Robotic Sensor Data under different Environment Conditions

AI-TEST-FIELD – A Test Environment for the Automated Evaluation of Methods for Robust and Reliable Environment Perception

Concept of a Test Environment for the Automated Evaluation of Algorithms for Robust and Reliable Environment Perception