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Employing Artificial Intelligence in the Development and Security of Aquaculture

Year: 2024

Type: article

Abstract: This research paper aims to shed light on the role of artificial intelligence (AI) applications in improving and developing aquaculture. AI and technological applications are among the most effective methods for mitigating the adverse effects of various risks, such as pollution and diseases, that may threaten aquaculture farms and investments. By enhancing the quality of aquatic products and improving the production process, AI not only supports the economy but also ensures the safety and quality of the food supply, thereby achieving food security. This is accomplished by providing AI equipment, tools, and protection for this type of investment. Various technological applications work to reduce production costs and encourage investment in aquaculture. However, there are challenges to implementing AI, including data collection, a lack of technical and financial support, and insufficient control over algorithms and self-learning techniques by farmers and investors, especially in developing countries.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13960057

Authors: Saidi Sabira, Nasreddine Nasri, Fellag Saliha, Almi Hassiba, Sbaa Chamseddin

Institutions: Hassiba Benbouali University of Chlef, Badji Mokhtar-Annaba University, University of Bouira

Language: English

Topic: Water Quality Monitoring Technologies

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Zero hunger, Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6930616214

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