Precision Livestock Farming and Biomedical Engineering: Assessing Feed Quality, Animal Health, and Behavior Using Machine Learning for Sensor Data
- DOI
- 10.3390/s26134015
- Published
- 2026-06-24
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26134015,
title = {Precision Livestock Farming and Biomedical Engineering: Assessing Feed Quality, Animal Health, and Behavior Using Machine Learning for Sensor Data},
author = {Nikolay Kiktev and Danylo Hradoboiev and Mykola Pravilov and Ievgen Antypov and Yuliia Meish and Liliia Stroianovska and Pawel Kielbasa and Taras Hutsol},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26134015},
url = {https://doi.org/10.3390/s26134015}
}RIS
TY - JOUR TI - Precision Livestock Farming and Biomedical Engineering: Assessing Feed Quality, Animal Health, and Behavior Using Machine Learning for Sensor Data AU - Nikolay Kiktev AU - Danylo Hradoboiev AU - Mykola Pravilov AU - Ievgen Antypov AU - Yuliia Meish AU - Liliia Stroianovska AU - Pawel Kielbasa AU - Taras Hutsol PY - 2026 JO - Sensors DO - 10.3390/s26134015 UR - https://doi.org/10.3390/s26134015 ER -
APA
Kiktev, N., Hradoboiev, D., Pravilov, M., Antypov, I., Meish, Y., Stroianovska, L., Kielbasa, P., & Hutsol, T. (2026). Precision Livestock Farming and Biomedical Engineering: Assessing Feed Quality, Animal Health, and Behavior Using Machine Learning for Sensor Data. Sensors. https://doi.org/10.3390/s26134015
Source records
- crossref · retrieved 2026-11-05T10:36:39.206Z