ASAS-NANP SYMPOSIUM: mathematical modeling in animal nutrition—data-efficient computer vision for precision livestock farming
- DOI
- 10.1093/jas/skag316
- Published
- 2026
- Container
- Journal of Animal Science
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/jas/skag316,
title = {ASAS-NANP SYMPOSIUM: mathematical modeling in animal nutrition—data-efficient computer vision for precision livestock farming},
author = {Yalong Pi and Karun Kaniyamattam and Adeolu Adekunle and Aniruddh Adiga and Luis O Tedeschi and Nick Duffield and Cheng Zhang},
year = {2026},
journal = {Journal of Animal Science},
doi = {10.1093/jas/skag316},
url = {https://doi.org/10.1093/jas/skag316}
}RIS
TY - JOUR TI - ASAS-NANP SYMPOSIUM: mathematical modeling in animal nutrition—data-efficient computer vision for precision livestock farming AU - Yalong Pi AU - Karun Kaniyamattam AU - Adeolu Adekunle AU - Aniruddh Adiga AU - Luis O Tedeschi AU - Nick Duffield AU - Cheng Zhang PY - 2026 JO - Journal of Animal Science DO - 10.1093/jas/skag316 UR - https://doi.org/10.1093/jas/skag316 ER -
APA
Pi, Y., Kaniyamattam, K., Adekunle, A., Adiga, A., Tedeschi, L. O., Duffield, N., & Zhang, C. (2026). ASAS-NANP SYMPOSIUM: mathematical modeling in animal nutrition—data-efficient computer vision for precision livestock farming. Journal of Animal Science. https://doi.org/10.1093/jas/skag316
Source records
- crossref · retrieved 2026-11-10T10:18:46.971Z