Fusing heterogeneous sensor data using artificial intelligence hybrid models for dairy cattle health anomaly detection
- DOI
- 10.3168/jds.2026-28889
- Published
- 2026-09
- Container
- Journal of Dairy Science
- Publisher
- American Dairy Science Association
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3168/jds.2026-28889,
title = {Fusing heterogeneous sensor data using artificial intelligence hybrid models for dairy cattle health anomaly detection},
author = {Arnas Nakrošis and Mahammad Ismayilov and Gurban Shukurov and Adhithiyan Arul Mani and Sanjaykrishna Ravali Srinivas and Joris Vėžys and Vytautas Ostaševičius and Agnė Paulauskaitė},
year = {2026},
journal = {Journal of Dairy Science},
doi = {10.3168/jds.2026-28889},
url = {https://doi.org/10.3168/jds.2026-28889}
}RIS
TY - JOUR TI - Fusing heterogeneous sensor data using artificial intelligence hybrid models for dairy cattle health anomaly detection AU - Arnas Nakrošis AU - Mahammad Ismayilov AU - Gurban Shukurov AU - Adhithiyan Arul Mani AU - Sanjaykrishna Ravali Srinivas AU - Joris Vėžys AU - Vytautas Ostaševičius AU - Agnė Paulauskaitė PY - 2026 JO - Journal of Dairy Science DO - 10.3168/jds.2026-28889 UR - https://doi.org/10.3168/jds.2026-28889 ER -
APA
Nakrošis, A., Ismayilov, M., Shukurov, G., Mani, A. A., Srinivas, S. R., Vėžys, J., Ostaševičius, V., & Paulauskaitė, A. (2026). Fusing heterogeneous sensor data using artificial intelligence hybrid models for dairy cattle health anomaly detection. Journal of Dairy Science. https://doi.org/10.3168/jds.2026-28889
Source records
- crossref · retrieved 2026-11-10T10:30:04.708Z