Machine learning to further improve the decision which boar ejaculates to process into artificial insemination doses
- DOI
- 10.1016/j.theriogenology.2019.12.017
- Published
- 2020-03
- Container
- Theriogenology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.theriogenology.2019.12.017,
title = {Machine learning to further improve the decision which boar ejaculates to process into artificial insemination doses},
author = {Claudia Kamphuis and Pascal Duenk and Roel Franciscus Veerkamp and Bram Visser and Gurnoor Singh and Annette Nigsch and Rudi Maria De Mol and Marleen Leonarda Wilhelmina Johanna Broekhuijse},
year = {2020},
journal = {Theriogenology},
doi = {10.1016/j.theriogenology.2019.12.017},
url = {https://doi.org/10.1016/j.theriogenology.2019.12.017}
}RIS
TY - JOUR TI - Machine learning to further improve the decision which boar ejaculates to process into artificial insemination doses AU - Claudia Kamphuis AU - Pascal Duenk AU - Roel Franciscus Veerkamp AU - Bram Visser AU - Gurnoor Singh AU - Annette Nigsch AU - Rudi Maria De Mol AU - Marleen Leonarda Wilhelmina Johanna Broekhuijse PY - 2020 JO - Theriogenology DO - 10.1016/j.theriogenology.2019.12.017 UR - https://doi.org/10.1016/j.theriogenology.2019.12.017 ER -
APA
Kamphuis, C., Duenk, P., Veerkamp, R. F., Visser, B., Singh, G., Nigsch, A., Mol, R. M. D., & Broekhuijse, M. L. W. J. (2020). Machine learning to further improve the decision which boar ejaculates to process into artificial insemination doses. Theriogenology. https://doi.org/10.1016/j.theriogenology.2019.12.017
Source records
- crossref · retrieved 2026-09-27T06:00:48.250Z