Artificial Intelligence-Driven Smart Aquaculture: Revolutionizing Sustainability through Automation and Machine Learning

AI incorporation in aquaculture has transformed the industry completely, making crucial processes automated, maximizing productivity, and promoting sustainability. AI, specifically machine learning, refers to the application of modern smart aquaculture systems for tasks such as fish species classification, health monitoring, feed regulation, and management of water quality. It thereby sets inefficiency issues right while reducing impacts on the environment through real-time data-driven decision-making. This article deals with very recent developments in the applications of AI and machine learning in aquaculture, pointing out their importance in increasing production as well as eco-friendly management of aquatic environments

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Publication Details

Journal
LatIA
Published
2024-12-01
DOI
https://doi.org/10.62486/latia2024116
Citations
8
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
1.61
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article

Artificial Intelligence-Driven Smart Aquaculture: Revolutionizing Sustainability through Automation and Machine Learning

Prodipto Roy, Mrutyunjay Padhiary, Javed Akhtar Barbhuiya, Dipak Roy
8 citations
LatIA
Water Quality Monitoring Technologies
1.61
article

Artificial Intelligence-Driven Smart Aquaculture: Revolutionizing Sustainability through Automation and Machine Learning

Prodipto Roy, Mrutyunjay Padhiary, Javed Akhtar Barbhuiya, Dipak Roy
article en
8 citations

Abstract

AI incorporation in aquaculture has transformed the industry completely, making crucial processes automated, maximizing productivity, and promoting sustainability. AI, specifically machine learning, refers to the application of modern smart aquaculture systems for tasks such as fish species classification, health monitoring, feed regulation, and management of water quality. It thereby sets inefficiency issues right while reducing impacts on the environment through real-time data-driven decision-making. This article deals with very recent developments in the applications of AI and machine learning in aquaculture, pointing out their importance in increasing production as well as eco-friendly management of aquatic environments

LatIAVol. 2
Tezpur University (IN), Assam University (IN)
Responsible consumption and production
Openalex Percentile: Top 18%
Water Quality Monitoring Technologies
1.61
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