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

Dipak Roy, Mrutyunjay Padhiary, Pankaj Roy and Javed Akhtar Barbhuiya

LatIA, 2024, vol. 2, 116

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

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:rlatia:v:2:y:2024:i::p:116:id:1062486latia2024116

DOI: 10.62486/latia2024116

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