Individualisierte Tierhaltung

Aufsätze in referierten Fachzeitschriften [8 Ergebnisse]

• 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
• Kashongwe, O.; Kabelitz, T.; Ammon, C.; Minogue, L.; Doherr, M.; Boloña, P.; Amon, T.; Amon, B. (2024): Influence of preprocessing methods of automated milking systems data on the prediction of mastitis with machine learning models. AgriEngineering. (6): p. 3427-3442. Online: https://doi.org/10.3390/agriengineering6030195
• Kabelitz, T.; Kashongwe, O.; Doherr, M.; Nübel, U.; Heuwieser, W.; Ammon, C.; Bolona, P.; Keane, O.; Amon, T.; Amon, B. (2024): Occurrence, treatment and pathogens involved in mastitis on a commercial German dairy farm: A case report from 2012 to 2021. Journal of Advanced Veterinary and Animal Research. (11): p. 856-868. Online: http://doi.org/10.5455/javar.2024.k837
• Maweu, A.; Bockline, B.; Kuria, S.; Kashongwe, O. (2023): In-vitro digestibility and methane gas emission of indigenous and introduced grasses in the rangeland ecosystems of south eastern Kenya. Regional Environmental Change. (24): p. 0. Online: https://link.springer.com/article/10.1007/s10113-023-02164-6?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20231221&utm_content=10.1007/s10113-023-02164-6
• Tione, S.; Nampanzira, D.; Nalule, G.; Kashongwe, O.; Katengeza, S. (2022): Anthropogenic land use change and adoption of climate smart agriculture in Sub-Saharan Africa. Sustainability. (22): p. 14729. Online: https://doi.org/10.3390/su142214729
• Marii, N.; Kashongwe, O.; Kingori, A. (2022): Effects of treating Prosopis juliflora pods with multienzyme, with and without bacterial cultures on in vitro dry matter digestibility (IVDMD), fermentation kinetics, and performance of growing pigs. Tropical Animal Health and Production. (125): p. 1-12. Online: https://doi.org/10.1007/s11250-022-03105-x
• Ngaruka, G.; Neema, B.; Mitima, T.; Kishabongo, A.; Kashongwe, O. (2021): Animal source food eating habits of outpatients with antimicrobial resistance in Bukavu, D.R. Congo. Granular Matter. : p. 124. Online: https://doi.org/10.1186/s13756-021-00991-y
• Shaukat, A.; Nadeem, M.; Qureshi, T.; Kanwal, R.; Sultan, M.; Kashongwe, O.; Shamshiri, R.; Murtaza, M. (2021): Effect of In Vitro Digestion on the Antioxidant and Angiotensin-Converting Enzyme Inhibitory Potential of Buffalo Milk Processed Cheddar Cheese. Foods. (7): p. 1661. Online: https://doi.org/10.3390/foods10071661

Vorträge und Poster [8 Ergebnisse]

• Dharejo, M.; Kashongwe, O.; Minogue, L.; Kabelitz, T.; Amon, T.; Doherr, M. (2025): Farm-specific effects in predicting mastitis by applying machine learning models to automatic milking system (AMS) data.
• Dharejo, M.; Kashongwe, O.; Minogue, L.; Kabelitz, T.; Amon, T.; 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.
• Dharejo, M.; Kashongwe, O.; Minogue, L.; Kabelitz, T.; Amon, T.; 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.
• Minogue, L.; Kabelitz, T.; Kashongwe, O. (2025): Detection of clinical mastitis in dairy cows by automatic image classification of a visual trap detector.
• Kabelitz, T.; Kashongwe, O. (2024): Individualisierte Mastitis-Risikoeinschätzung in der Milchviehhaltung durch Sensoren, Digitalisierung und künstliche Intelligenz - MEDICow.
• Kabelitz, T.; Kashongwe, O.; Minogue, L.; Doherr, M.; Dharejo, M.; Nübel, U.; Degenhardt, J.; Silva Bolona, P.; Keane, O.; Amon, T.; Amon, B. (2024): The joint German-Irish MEDICow project: Individualized mastitis risk assessment in dairy farming using sensors, digitalization and artificial intelligence.
• Tione, S.; Kashongwe, O.; Nalule, G.; Nampanzira, D.; Katengeza, S. (2023): Assessment of intertemporal changes of land allocation to CSA practices and associated institutional framework in sub-Saharan Africa.
• Kashongwe, O.; Kabelitz, T.; Adolphs, J.; Ammon, C.; Amon, T.; Amon, B. (2022): Naïve Bayes classification algorithm to predict the likelihood of mastitis treatment failure using historical data.