Exploring the role of IoT, AI, and remote sensing in precision aquaculture: Monitoring, automation, and data-driven decision-making

Precision aquaculture is revolutionizing fish farming through the integration of advanced technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and remote sensing. These innovations enhance real-time monitoring, automation, and data-driven decision-making, thereby improving efficiency, sustainability, and productivity. IoT-enabled sensors facilitate continuous tracking of critical environmental parameters, while AI-driven analytics optimize feed management, disease detection, and operational processes. Remote sensing complements these technologies by providing large-scale monitoring and environmental assessments, ensuring compliance with ecological and regulatory standards.

Despite these advancements, the widespread adoption of precision aquaculture faces challenges, including technical limitations, regulatory complexities, and high initial investment costs. However, emerging technologies such as edge computing and blockchain offer promising solutions to enhance system efficiency, transparency, and data security. Economic analyses highlight the long-term viability of these innovations, particularly in resource-limited settings where sustainable aquaculture can contribute to food security and economic growth.

This paper explores the synergy between IoT, AI, and remote sensing in precision aquaculture, analyzing case studies that demonstrate successful integration. It further examines policy and economic considerations essential for facilitating technology adoption and ensuring industry scalability. By addressing current challenges and leveraging future innovations, precision aquaculture has the potential to transform global seafood production, promoting sustainability while meeting the increasing demand for aquatic food resources.