Big Data Allowing next Generation Fish Farming Systems

Mohamed El Mehdi El Aissi, Sarah Benjelloun, Yassine Loukili, Younes Lakhrissi, Safae Elhaj Ben Ali

2021

Abstract

To tackle the increasing needs of fish farming production, it becomes a necessity to adopt new techniques of digitalization in order to handle the huge quantity of data generated by the fish farming ecosystem. This step will allow fish farmers and researchers to extract valuable information and as result they will improve their productivity. Although Big Data techniques are affording many advantages, it has not been widely applied in agriculture, especially in fish farming. This article sheds light on the potential that Big Data have in fish farming industry. It shows the functional and technical need of including Big Data in traditional fish farming systems. Thereafter, it presents the architecture proposal of a smart fish farming system based on Big Data technologies.

Paper Citation

in Harvard Style

El Aissi M., Benjelloun S., Loukili Y., Lakhrissi Y. and Elhaj Ben Ali S. (2021). Big Data Allowing next Generation Fish Farming Systems. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 518-522. DOI: 10.5220/0010739000003101

in Bibtex Style

@conference{bml21,
author={Mohamed El Mehdi El Aissi and Sarah Benjelloun and Yassine Loukili and Younes Lakhrissi and Safae Elhaj Ben Ali},
title={Big Data Allowing next Generation Fish Farming Systems},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={518-522},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010739000003101},
isbn={978-989-758-559-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - Big Data Allowing next Generation Fish Farming Systems
SN - 978-989-758-559-3
AU - El Aissi M.
AU - Benjelloun S.
AU - Loukili Y.
AU - Lakhrissi Y.
AU - Elhaj Ben Ali S.
PY - 2021
SP - 518
EP - 522
DO - 10.5220/0010739000003101