On these pages you will find all scientific articles, papers and books published by ATB employees that are recorded in our database since 2004.
These publications are partly available in open access.
The colour coding to the left indicates the allocation of the publication to one or more ATB program areas.
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Publications
- Kaukab, S.; Komal, S.; Kumar, S.; Ray, H.; Brar, J.; Ghodki, B.; Kalnar, Y.; Ghosh, A.; Narsaiah, K. (2025): Machine Learning Based Approach for Detection and Size Estimation for On-field Harvesting and Sorting of Apple. In: Saha, H.; Ray, H.; Bradford, P.(eds.): International Conference on Systems and Technologies for Smart Agriculture ICSTA 2023. International Conference on Systems and Technologies for Smart Agriculture (ICSTA 2023). Springer, Singapore, (978-981-97-5156-3; 978-981-97-5157-0), p. 507-518. Online: https://doi.org/10.1007/978-981-97-5157-0_41 1.0
- Matavel, C.; Meyer-Aurich, A. (2025): Data-driven nitrogen management: Leveraging historical data and machine learning for economic optima. Lecture Notes in Informatics (LNI). In: Informatik in der Land-, Forst- und Ernährungswirtschaft. 45. GIL-Jahrestagung - Informatik in der Land-, Forst- und Ernährungswirtschaft. Gesellschaft für Informatik (GI), Bonn, (1617-5468 (Online)), p. 323-328. Online: https://gil-net.de/Publikationen/GIL25_Proceedings_final_01.pdf 1.0
- Fumagalli, F.; Muschalik, M.; Hüllermeier, E.; Hammer, B.; Herbinger, J. (2025): Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory. In: The 28th International Conference on Artificial Intelligence and Statistics (AISTATS) proceedings. AISTATS 2025. p. 1-42. 1.0
- Maß, V.; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fitzsche, E.; Ibraheem, R.; Geyer, M.; Pflanz, M.; Reim, S. (2025): Annotated image dataset with different stages of European pear rust for UAV-based automated symptom detection in orchards. Data in Brief. (February): p. 111271. Online: https://doi.org/10.1016/j.dib.2025.111271 1.0
- Vogel, S.; Gebbers, M.; Schröter, I.; Schwanghart, W.; Bönecke, E.; Rühlmann, J.; Kramer, E.; Gebbers, R. (2025): Towards site-independent calibration of in situ soil pH sensor data: Relevance of spatial and temporal proximity, sample size and data spread for calibration model performance. Geoderma. (April 2025): p. 117261. Online: https://www.sciencedirect.com/science/article/pii/S0016706125000990 1.0
- Hafner, S.; Pedersen, J.; Fuß, R.; Nørlem Kamp, J.; Frederik Rask, D.; Amon, B.; Pacholski, A.; Adamsen, A.; Sommer, S. (2025): Improved tools for estimation of ammonia emission from field-applied animal slurry: refinement of the ALFAM2 model and database. Atmospheric Environment. (January): p. 120910. Online: https://doi.org/10.1016/j.atmosenv.2024.120910 1.0
- Jakob, M. (2024): Hilfe beim Bücken für den Rücken. Bauernzeitung. Für Brandenburg, Mecklenburg-Vorpommern und Sachsen-Anhalt. (35. Woche): p. 34-34. 1.0
- Jeon, H.; Kim, D.; Scheufele, F.; Ro, K.; Libra, J.; Marzban, N.; Chen, H.; Ribeiro, C.; Jeong, C. (2024): Occurrence of Polycyclic Aromatic Hydrocarbons (PAHs) in Pyrochar and Hydrochar during Thermal and Hydrothermal Processes. Agronomy. (9): p. 2040. Online: https://doi.org/10.3390/agronomy14092040 1.0
- Shamshiri, R.; Hameed, I. (2024): Mobile Robots for Digital Farming. . . CRC Press, Boca Raton, (9781032304663), 208 S. Online: https://www.taylorfrancis.com/books/edit/10.1201/9781003306283/mobile-robots-digital-farming-redmond-shamshiri-ibrahim-hameed 1.0
- Kohzadi, S.; Bundschuh, M.; Rezaee, R.; Marzban, N.; Vahabzadeh, Z.; Ali Johari, S.; Shahmoradi, B.; Amini, N.; Maleki, A. (2024): Integrating machine learning with experimental investigation for optimizing photocatalytic degradation of Rhodamine B using neodymium-doped titanium dioxide: a comprehensive approach with toxicity assessment. Environmental Science and Pollution Research. : p. 55301-55316. Online: https://doi.org/10.1007/s11356-024-34843-0 1.0