Impact of cross-validation designs on cattle behavior prediction using machine learning and deep learning models with tri-axial accelerometer data


Journal article


Jin Wang, Ziwen Yu, Ricardo C. Chebel, Haipeng Yu
Smart Agricultural Technology, 2025


Cite

Cite

APA   Click to copy
Wang, J., Yu, Z., Chebel, R. C., & Yu, H. (2025). Impact of cross-validation designs on cattle behavior prediction using machine learning and deep learning models with tri-axial accelerometer data. Smart Agricultural Technology. https://doi.org/10.1016/j.atech.2025.101483


Chicago/Turabian   Click to copy
Wang, Jin, Ziwen Yu, Ricardo C. Chebel, and Haipeng Yu. “Impact of Cross-Validation Designs on Cattle Behavior Prediction Using Machine Learning and Deep Learning Models with Tri-Axial Accelerometer Data.” Smart Agricultural Technology (2025).


MLA   Click to copy
Wang, Jin, et al. “Impact of Cross-Validation Designs on Cattle Behavior Prediction Using Machine Learning and Deep Learning Models with Tri-Axial Accelerometer Data.” Smart Agricultural Technology, 2025, doi:10.1016/j.atech.2025.101483.


BibTeX   Click to copy

@article{jin2025a,
  title = {Impact of cross-validation designs on cattle behavior prediction using machine learning and deep learning models with tri-axial accelerometer data},
  year = {2025},
  journal = {Smart Agricultural Technology},
  doi = {10.1016/j.atech.2025.101483},
  author = {Wang, Jin and Yu, Ziwen and Chebel, Ricardo C. and Yu, Haipeng}
}