Aquaculture has become a cornerstone of global food security, yet its rapid intensification has created significant challenges related to disease management, environmental sustainability, and resource-use efficiency. Precision aquaculture has emerged as an innovative approach that integrates advanced technologies, including the Internet of Things, artificial intelligence, machine learning, biosensors, and automated monitoring systems, to optimize aquaculture production. By enabling real-time monitoring of environmental conditions, fish behaviour, and health status, precision technologies facilitate data-driven decision-making and predictive management strategies. These tools improve feed efficiency, enhance disease detection, reduce environmental impacts, and promote animal welfare, thereby increasing the productivity and resilience of aquaculture systems. Furthermore, precision aquaculture offers promising solutions for adapting to climate-related challenges and supporting sustainable intensification of fish farming. As digital technologies continue to advance, precision aquaculture is poised to transform conventional fish farming into an intelligent, efficient, and environmentally responsible production system for the future.