End-to-end detection of cough and snore based on ResNet18-TF for breeder laying hens: A field study
- DOI
- 10.1016/j.aiia.2025.11.002
- Published
- 2026-03
- Container
- Artificial Intelligence in Agriculture
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.aiia.2025.11.002,
title = {End-to-end detection of cough and snore based on ResNet18-TF for breeder laying hens: A field study},
author = {Haoyan Ma and Peiguang Xin and Juncheng Ma and Xiao Yang and Ruohan Zhang and Chao Liang and Yu Liu and Fei Qi and Chaoyuan Wang},
year = {2026},
journal = {Artificial Intelligence in Agriculture},
doi = {10.1016/j.aiia.2025.11.002},
url = {https://doi.org/10.1016/j.aiia.2025.11.002}
}RIS
TY - JOUR TI - End-to-end detection of cough and snore based on ResNet18-TF for breeder laying hens: A field study AU - Haoyan Ma AU - Peiguang Xin AU - Juncheng Ma AU - Xiao Yang AU - Ruohan Zhang AU - Chao Liang AU - Yu Liu AU - Fei Qi AU - Chaoyuan Wang PY - 2026 JO - Artificial Intelligence in Agriculture DO - 10.1016/j.aiia.2025.11.002 UR - https://doi.org/10.1016/j.aiia.2025.11.002 ER -
APA
Ma, H., Xin, P., Ma, J., Yang, X., Zhang, R., Liang, C., Liu, Y., Qi, F., & Wang, C. (2026). End-to-end detection of cough and snore based on ResNet18-TF for breeder laying hens: A field study. Artificial Intelligence in Agriculture. https://doi.org/10.1016/j.aiia.2025.11.002
Source records
- crossref · retrieved 2026-09-26T17:14:57.683Z