Employing Artificial Intelligence in the Development and Security of Aquaculture

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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-21
DOI
https://doi.org/10.5281/zenodo.13960058
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Employing Artificial Intelligence in the Development and Security of Aquaculture

Zenodo (CERN European Organization for Nuclear Research)
Genetic and phenotypic traits in livestock
article

Employing Artificial Intelligence in the Development and Security of Aquaculture

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Badji Mokhtar-Annaba University (DZ), University of Bouira (DZ), Hassiba Benbouali University of Chlef (DZ)
Openalex Percentile: Top 56%
Genetic and phenotypic traits in livestock
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Employing Artificial Intelligence in the Development and Security of Aquaculture · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS