Individualisierte Tierhaltung

Aufsätze in referierten Fachzeitschriften [102 Ergebnisse]

• Chen, L.; Thormann, L.; Amon, T.; Yi, Q.; Wu, X.; Janke, D. (2026): CFD-informed sensor placement optimization for predicting local mean age of air in naturally ventilated livestock buildings. Smart Agricultural Technology. (August): p. 102319. Online: https://doi.org/10.1016/j.atech.2026.102319
• Chen, L.; Thormann, L.; Amon, T.; Yi, Q.; Janke, D. (2026): Boundary layer wind tunnel measurement datasets of airflow study in an asymmetric naturally ventilated livestock building. Data in Brief. (65): p. 112592. Online: https://doi.org/10.1016/j.dib.2026.112592
• 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
• Rawat, A.; Song, Z.; Amon, B.; Mehmood, T.; Kabelitz, T.; Janke, D.; Herrmann, C.; Overmann, J.; Vieira, S.; Amon, T. (2026): Investigation of dynamic processes in liquid manure storage in an in vitro system: Implications for methane emissions and modelling. Waste Management. (Juli): p. 115659. Online: https://doi.org/10.1016/j.wasman.2026.115659
• Jaleta, M.; Junker, V.; Hölzel, C.; Zentek, J.; Amon, T.; Nübel, U.; Kabelitz, T. (2026): Antimicrobial resistance genes in weaned pigs: quantitative abundance and group dynamics assessed by qPCR. Veterinary Microbiology. (12): p. 0. Online: https://doi.org/10.3389/fvets.2025.1709227
• Yi, Q.; Hempel, S.; Janke, D.; Wang, X.; Zhang, G.; Aarnink, A.; Amon, B.; Amon, T. (2026): Influence of barn design on airflow and airborne pollutant dispersion in a naturally ventilated pig barn with an outdoor yard. Results in Engineering. (30): p. 110458. Online: https://doi.org/10.1016/j.rineng.2026.110458
• Dharejo, M.; Kashongwe, O.; Amon, T.; Kabelitz, T.; Doherr, M. (2025): Farm-Specific Effects in Predicting Mastitis by Applying Machine Learning Models to Automated Milking System and Other Farm Management Data. animals. (15): p. 2825. Online: https://doi.org/10.3390/ani15192825
• Atanasova, A.; Amon, T.; Rösler, U.; Friese, A.; Merle, R.; Kabelitz, T. (2025): Temporal dynamics of antimicrobial resistance genes abundances in chicken manure and anaerobic digestate. Frontiert in Antibiotics. (4): p. 0. Online: https://doi.org/10.3389/frabi.2025.1612886
• Dharejo, M.; Minogue, L.; Kabelitz, T.; Amon, T.; Kashongwe, O.; Doherr, M. (2025): Time series data analysis to predict the status of mastitis in dairy cows by applying machine learning models to automated milking systems data. Preventive Veterinary Medicine. (242): p. 10675. Online: https://doi.org/10.1016/j.prevetmed.2025.106575
• 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