Smart aquaculture integrates advanced technologies such as artificial intelligence (AI), machine learning, the Internet of Things (IoT), and data analytics to address the limitations of traditional aquaculture and promote sustainable fish farming practices. This article explores the transformative role of smart systems in enhancing productivity, improving fish health, optimizing resource use, and reducing environmental impact. Traditional aquaculture faces significant challenges including water quality management, disease detection, feed efficiency, and labor demands. By leveraging sensor networks, automation, computer vision, and blockchain technology, smart aquaculture enables real-time monitoring, predictive analytics, and transparent supply chains. The study emphasizes the potential of intelligent systems like Recirculatory Aquaculture Systems (RAS), smart sensors, and automated feeding to revolutionize the sector. Furthermore, it highlights the future prospects of intelligent fish farms that operate with minimal human intervention, ensuring higher efficiency and sustainability. Despite certain challenges like cost and technical skill requirements, smart aquaculture presents a viable path toward meeting the rising global seafood demand while preserving aquatic ecosystems.