Fish growth trajectory tracking using Q-learning in precision aquaculture
- DOI
- 10.1016/j.aquaculture.2021.737838
- Published
- 2022-03
- Container
- Aquaculture
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.aquaculture.2021.737838,
title = {Fish growth trajectory tracking using Q-learning in precision aquaculture},
author = {Abderrazak Chahid and Ibrahima N'Doye and John E. Majoris and Michael L. Berumen and Taous-Meriem Laleg-Kirati},
year = {2022},
journal = {Aquaculture},
doi = {10.1016/j.aquaculture.2021.737838},
url = {https://doi.org/10.1016/j.aquaculture.2021.737838}
}RIS
TY - JOUR TI - Fish growth trajectory tracking using Q-learning in precision aquaculture AU - Abderrazak Chahid AU - Ibrahima N'Doye AU - John E. Majoris AU - Michael L. Berumen AU - Taous-Meriem Laleg-Kirati PY - 2022 JO - Aquaculture DO - 10.1016/j.aquaculture.2021.737838 UR - https://doi.org/10.1016/j.aquaculture.2021.737838 ER -
APA
Chahid, A., N'Doye, I., Majoris, J. E., Berumen, M. L., & Laleg-Kirati, T. (2022). Fish growth trajectory tracking using Q-learning in precision aquaculture. Aquaculture. https://doi.org/10.1016/j.aquaculture.2021.737838
Source records
- crossref · retrieved 2026-09-26T11:30:43.491Z