Big Data-driven Smart Fish Farming

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

2021

Abstract

With the fast global population growth, the demand of fishery products is also increasing. Aquaculture is developed in Asian countries the most, but not enough in countries with the same climate as Morocco. This study aims to explore the potential of Big Data technologies as a fuel for a smart fish farm. By using big data, the activity of aquaculture is well managed with a better production level and less wastage. Many research studies are exploring big data for agriculture, but there is only a few exploring the potential of these technologies for fish farming. Moreover, no study has been conducted for Morocco case. This study is directed to reveal the importance of investing into a big data driven aquaculture. This paper presents the state of aquaculture in Morocco to show the area of improvement. Then, it reveals the application of big data technologies for smart fish farming with a suggested architecture to solve current challenges. It also highlights data generation procedure, data collection techniques and analytics methods.

Paper Citation

in Harvard Style

Benjelloun S., El Aissi M., Loukili Y., Lakhrissi Y. and Elhaj Ben Ali S. (2021). Big Data-driven Smart Fish Farming. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 512-517. DOI: 10.5220/0010738800003101

in Bibtex Style

@conference{bml21,
author={Sarah Benjelloun and Mohamed El Mehdi El Aissi and Yassine Loukili and Younes Lakhrissi and Safae Elhaj Ben Ali},
title={Big Data-driven Smart Fish Farming},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={512-517},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010738800003101},
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-driven Smart Fish Farming
SN - 978-989-758-559-3
AU - Benjelloun S.
AU - El Aissi M.
AU - Loukili Y.
AU - Lakhrissi Y.
AU - Elhaj Ben Ali S.
PY - 2021
SP - 512
EP - 517
DO - 10.5220/0010738800003101