Multi-wheat-model ensemble responses to interannual climate variability. - Alex C. Ruane; Nicholas I. Hudson; Senthold Asseng; Davide Camarrano; Frank Ewert; Pierre Martre; Kenneth J. Boote; Peter J. Thorburn; Pramod K. Aggarwal; Carlos Angulo; Bruno Basso; Patrick Bertuzzi; et al. (Environ. Model. Softw., 2016)

Equifinality, sloppiness, and emergent structures of mechanistic soil biogeochemical models. - Gianna L. Marschmann; Holger Pagel; Philipp Kügler; Thilo Streck (Environ. Model. Softw., 2019)

Managing collaborative research data for integrated, interdisciplinary environmental research. - Michael Finkel; Albrecht Baur; Tobias K. D. Weber; Karsten Osenbrück; Hermann Rügner; Carsten Leven; Marc Schwientek; Johanna Schlögl; Ulrich Hahn 001; Thilo Streck; Olaf A. Cirpka; Thomas Walter; et al. (Earth Sci. Informatics, 2020)

The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise. - Daniel Wallach 001; Taru Palosuo; Peter J. Thorburn; Zvi Hochman; Emmanuelle Gourdain; Fety Andrianasolo; Senthold Asseng; Bruno Basso; Samuel Buis; Neil Crout; Camilla Dibari; Benjamin Dumont; et al. (Environ. Model. Softw., 2021)

Machine Learning on Simulated and Real Farm Data Based on an Ontology-Controlled Data Infrastructure. - Alexander Münzberg; Christian Troost; Daniel Martini; Francisco Mendoza 004; Rajiv Kumar Srivastava; Thomas Berger; Liv Seuring; Nils Reinosch; Thilo Streck; Ansgar Bernardi (AAAI Spring Symposium: MAKE, 2022)

Combining Crop Modeling with Remote Sensing Data Using a Particle Filtering Technique to Produce Real-Time Forecasts of Winter Wheat Yields under Uncertain Boundary Conditions. - Hossein Zare; Tobias K. D. Weber; Joachim Ingwersen; Wolfgang Nowak; Sebastian Gayler; Thilo Streck (Remote. Sens., 2022)

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 (GI-Jahrestagung, 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 (GIL Jahrestagung, 2023)

On-Site Sensor Calibration Procedure for Quality Assurance of Barometric Process Separation (BaPS) Measurements. - Hannah Munz; Joachim Ingwersen; Thilo Streck (Sensors, 2023)