Unsere Publikationen

Publikationen

• Eichler, F.; Klitzing, L.; Strutzke, S.; Pilger, F.; Kroschel, L.; Thöne-Reineke, C.; Hoffmann, G.; Kirsch, K. (2026): Sensor-based analysis of behaviour time budgets in young warmblood stallions entering initial preparation for licensing. Applied Animal Behaviour Science. (294): p. 106873. Online: https://doi.org/10.1016/j.applanim.2025.106873 1.0
• Yi, Q.; Doumbia, E.; Alaei, A.; Janke, D.; Amon, T.; Hempel, S. (2026): Pressure drop across animal occupied zone of dairy barns under multiple scenarios. Agriculture. (16): p. 79. Online: https://doi.org/10.3390/agriculture16010079 1.0
• Dragoni, F.; Tozzini, C.; Taccini, F.; Giovannelli, A.; Traversi, M.; Bonari, E.; Ragaglini, G. (2026): Seasonal dynamics and effect of harvest time on concentration and yield of non-structural carbohydrates in rhizomes and aboveground biomass of giant reed (Arundo donax L.). Biomass & Bioenergy. (February 2026): p. 108515. Online: https://doi.org/10.1016/j.biombioe.2025.108515 1.0
• Safonova, A.; Stiller, S.; Yordanov, M.; Ryo, M. (2026): Self-supervised learning outperforms supervised learning for crop classification by annotating only 5% of images. Precision Agriculture. (4): p. 1-31. Online: https://doi.org/10.1007/s11119-025-10302-9 1.0
• Aradwad, P.; Arefi, A.; Raut, S.; Abdelfattah, A.; Delele, M.; Rauh, C.; Sturm, B. (2025): Compositional dynamics, volatome profiling, and hyperspectral-based predictive modeling for quality monitoring of brewers spent grain during storage. Food Control. (February 2026): p. 111662. Online: https://doi.org/10.1016/j.foodcont.2025.111662 1.0
• Hoffmann, T.; Praeger, U.; Linke, M.; Büchele, F.; Neuwald, D.; Jedermann, R.; Geyer, M.; Sturm, B.; Mahajan, P. (2025): Influence of air flow rate on the cooling characteristics of a single and batch apple fruits. Thermal Science and Engineering Progress. (March 2025): p. 103257. Online: https://doi.org/10.1016/j.tsep.2025.103257 1.0
• Kalnar, Y.; Sonawane, A.; Weltzien, C.; Mahajan, P. (2025): Evaluating soda-lime adsorption and microcontroller-based system for the dynamic control of CO2 in a fresh produce storage box under varying temperature. Journal of Agriculture and Food Research. (June 2025): p. 101852. Online: https://doi.org/10.1016/j.jafr.2025.101852 1.0
• Babor, M.; Liu, S.; Arefi, A.; Olszewska-Widdrat, A.; Venus, J.; Sturm, B.; Höhne, M. (2025): Interpretable Domain Adaptation Enables Robust Lactic Acid Fermentation Monitoring from Waste. Results in Engineering. (March 2026): p. 108477. Online: https://doi.org/10.1016/j.rineng.2025.108477 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
• Atanasova, A.; Amon, T.; Friese, A.; Rösler, U.; Merle, R.; Herrmann, C.; Kraus, A.; Kabelitz, T. (2025): Effects of Carbon-to-Nitrogen Ratio and Temperature on the Survival of Antibiotic-Resistant and Non-Resistant Escherichia coli During Chicken Manure Anaerobic Digestion. Agriculture. (4): p. 0. Online: https://doi.org/10.3390/poultry4010009 1.0