Issue |
E3S Web Conf.
Volume 477, 2024
International Conference on Smart Technologies and Applied Research (STAR'2023)
|
|
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Article Number | 00102 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/e3sconf/202447700102 | |
Published online | 16 January 2024 |
Artificial intelligence for the optimization of marine aquaculture
Organization management science research Laboratory, National School of Commerce and Management, Ibn Tofail University, 14000, Kenitra, Morocco N°: ORCID: 0009-0007-5303-6356
N°: ORCID: 0000-0003-3009-379X
* Corresponding author: omar.er-rousse@uit.ac.ma
In recent years, artificial intelligence has become an inevitable player in the field of development and international competition. Artificial intelligence (AI) has made moves across all industries, and marine aquaculture as one of the pillars of the blue economy of high production growth is no exception. The integration of artificial intelligence into marine aquaculture management and conservation is revolutionizing the intensification and expansion of sustainable aquaculture production systems. AI-powered systems help aquaculturists optimize their operations, production and management of marine aquaculture farms, develop innovative applications for monitoring, control and prediction of marine ecosystems, and to reduce waste and minimize their environmental impact. The adoption of AI technologies in aquaculture will be essential to ensure the long-term sustainability of the industry and the health of our oceans. Overall, AI is proving to be an essential tool for optimizing aquaculture development plans and conservation strategies for marine ecosystems. By providing early warning of environmental changes, identifying and protecting threatened species, and monitoring water quality, AI helps ensure that marine ecosystems remain healthy and vibrant.
Key words: Blue economy/blue growth / Sustainable development / Sustainable aquaculture / natural resources / Artificial intelligence / Marine aquaculture / development
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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