Künstliche Intelligenz für Tierwohl: Aktivitätserkennung und Process-Mining im Schweinestall-Reference-Cited by-同舟云学术

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Künstliche Intelligenz für Tierwohl: Aktivitätserkennung und Process-Mining im Schweinestall

Published:2023-12 Issue:6 Volume:15 Page:407-415
ISSN:1867-5905
Container-title:Wirtschaftsinformatik & Management
language:de
Short-container-title:Wirtsch Inform Manag

Author:

Lepsien Arvid,Melfsen Andreas,Koschmider Agnes,Jäggle Tobias

Funder

Christian-Albrechts-Universität zu Kiel

Publisher

Springer Fachmedien Wiesbaden GmbH

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Link

https://link.springer.com/content/pdf/10.1365/s35764-023-00502-1.pdf

Reference5 articles.

1. Höne, U., Krause, E. T., Bussemas, R., Traulsen, I., & Schrader, L. (2023). Usage of outdoor runs and defaecation behaviour of fattening pigs. Appl. Anim. Behav. Sci., 258, 105821. https://doi.org/10.1016/j.applanim.2022.105821.

2. Matthews, S. G., Miller, A. L., Clapp, J., Plötz, T., & Kyriazakis, I. (2016). Early detection of health and welfare compromises through automated detection of behavioural changes in pigs. Vet. J., 217, 43–51. https://doi.org/10.1016/j.tvjl.2016.09.005.

3. Chen, C., Zhu, W., & Norton, T. (2021). Behaviour recognition of pigs and cattle: Journey from computer vision to deep learning. Comput. Electron. Agric., 187, 106255. https://doi.org/10.1016/j.compag.2021.106255.

4. Lepsien, A., Koschmider, A., & Kratsch, W. (2023). Analytics pipeline for process mining on video data. In BPM 2023 Forum (S. 1–18). Cham: Springer. https://doi.org/10.1007/978-3-031-41623-1_12.

5. Melfsen, A., Lepsien, A., Bosselmann, J., Koschmider, A., & Hartung, E. (2023). Describing behavior sequences of fattening pigs using process mining on video data and automated pig behavior recognition. Agriculture, 13, 1639. https://doi.org/10.3390/agriculture13081639.

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