Modelling the impact of drought and heat stress on common bean with two different photosynthesis model approaches. - Sabine J. Seidel; Shimon Rachmilevitch; Niels Schütze; Naftali Lazarovitch (Environ. Model. Softw., 2016)

Deep Learning for Non-Invasive Diagnosis of Nutrient Deficiencies in Sugar Beet Using RGB Images. - Jinhui Yi; Lukas Krusenbaum; Paula Unger; Hubert Hüging; Sabine J. Seidel; Gabriel Schaaf; Juergen Gall (Sensors, 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)

Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks. - Lukas Drees; Dereje T. Demie; Madhuri R. Paul; Johannes Leonhardt; Sabine J. Seidel; Thomas F. Döring; Ribana Roscher (CoRR, 2023)

A calibration protocol for soil-crop models. - Daniel Wallach 001; Samuel Buis; Diana-Maria Seserman; Taru Palosuo; Peter J. Thorburn; Henrike Mielenz; Eric Justes; Kurt Christian Kersebaum; Benjamin Dumont; Marie Launay; Sabine J. Seidel (Environ. Model. Softw., 2024)