From machine learning to digital twin integration for livestock production and research.

Abdelrahman M, Issa S, Elsayed Ali M, Alotaibi J, Alshanbari F

DOI: 10.3389/fvets.2026.1744053
Published: 2026
Container: Frontiers in veterinary science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fvets.2026.1744053,
  title = {From machine learning to digital twin integration for livestock production and research.},
  author = {Abdelrahman M and Issa S and Elsayed Ali M and Alotaibi J and Alshanbari F},
  year = {2026},
  journal = {Frontiers in veterinary science},
  doi = {10.3389/fvets.2026.1744053},
  url = {https://doi.org/10.3389/fvets.2026.1744053}
}

RIS

TY  - JOUR
TI  - From machine learning to digital twin integration for livestock production and research.
AU  - Abdelrahman M
AU  - Issa S
AU  - Elsayed Ali M
AU  - Alotaibi J
AU  - Alshanbari F
PY  - 2026
JO  - Frontiers in veterinary science
DO  - 10.3389/fvets.2026.1744053
UR  - https://doi.org/10.3389/fvets.2026.1744053
ER  -

APA

M, A., S, I., M, E. A., J, A., & F, A. (2026). From machine learning to digital twin integration for livestock production and research.. Frontiers in veterinary science. https://doi.org/10.3389/fvets.2026.1744053

Source records

pubmed · retrieved 2026-09-25T07:02:34.700Z