Christian Troost

According to our database, Christian Troost authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

OptiRePS - exploring options to reduce pesticide use in arable production at farm-level.

Christian Troost, Markus Müller, Livia Rasche, Thomas Berger

Proceedings of the 46. GIL-Jahrestagung, Informatik in der Land-, Forst- und Ernährungswirtschaft, 2026

2024

Towards reusable building blocks for agent-based modelling and theory development.

Uta Berger, Andrew R. Bell, C. Michael Barton, Émile J. L. Chappin, Gunnar Dreßler, Tatiana Filatova, Thibault Fronville, Allen Lee, Emiel van Loon, Iris Lorscheid, Matthias Meyer, Birgit Müller, Cyril Piou, Viktoriia Radchuk, Nicholas Roxburgh, Lennart Schüler, Christian Troost, Nanda Wijermans, Timothy G. Williams, Marie-Christin Wimmler, Volker Grimm

Environ. Model. Softw., 2024

2023

How to keep it adequate: A protocol for ensuring validity in agent-based simulation.

Christian Troost, Robert Huber, Andrew R. Bell, Hedwig van Delden, Tatiana Filatova, Quang Bao Le, Melvin Lippe, Leila Niamir, J. Gareth Polhill, Zhanli Sun, Thomas Berger

Environ. Model. Softw., 2023

SIMLEARN - Ontologiegestützte Integration von Simulationsmodellen, Systemen für maschinelles Lernen und Planungsdaten.

Nils Reinosch, Alexander Münzberg, Daniel Martini, Alexander Niehus, Liv Seuring, Christian Troost, Rajiv Kumar Srivastava, Thomas Berger, Thilo Streck, Ansgar Bernardi

Proceedings of the 43. GIL-Jahrestagung, 2023

Landwirtschaftliche Ertragsvorhersage im Kontext begrenzter realer Trainingsdatensätze: ein Transfer-Learning-Ansatz unter Verwendung tieferneuronalerNetze.

Alexander Münzberg, Christian Troost, Nils Reinosch, Daniel Martini, Liv Seuring, Alexander Niehus, Rajiv Kumar Srivastava, Thilo Streck, Thomas Berger, Ansgar Bernardi

Proceedings of the 53. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2023, Designing Future, 2023

2022

Using Transfer Learning for Quality Improved Forecasting of Temporal Agricultural Processes by Adapting Convolutional Neural Networks.

Alexander Münzberg, Christian Troost, Ansgar Bernardi

Proceedings of the 52. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2022, Informatik in den Naturwissenschaften, 26., 2022

Machine Learning on Simulated and Real Farm Data Based on an Ontology-Controlled Data Infrastructure.

Alexander Münzberg, Christian Troost, Daniel Martini, Francisco Mendoza, Rajiv Kumar Srivastava, Thomas Berger, Liv Seuring, Nils Reinosch, Thilo Streck, Ansgar Bernardi

Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), 2022