Smart Aquaculture: IoT, Cloud Computing, and AI for Sustainable Fisheries.

Abstract

The integration of advanced digital technologies such as the Internet of Things (IoT), Cloud Computing, and Artificial Intelligence (AI) has transformed traditional aquaculture into a data-driven, automated, and sustainable practice. Smart aquaculture systems leverage IoT-enabled sensors to continuously monitor key environmental parameters including temperature, pH, dissolved oxygen, turbidity, and ammonia levels, providing real-time insights into pond conditions. These data streams are transmitted through cloud-based platforms for centralized storage, remote access, and intelligent analysis. AI algorithms further enhance system performance by predicting fish behaviour, optimizing feeding schedules, detecting disease outbreaks, and improving resource utilization efficiency. The synergy of these technologies not only reduces operational costs and environmental stress but also ensures higher yield consistency and ecological balance. This paper presents a comprehensive framework for sustainable fisheries management through IoT–AI–Cloud integration, emphasizing scalability, cost-effectiveness, and data-driven decision support. The proposed approach demonstrates how intelligent sensing and predictive analytics can revolutionize aquaculture practices, ensuring sustainability and resilience in a rapidly changing climate and growing global seafood demand..