Cutting-edge technologies for detecting and controlling fish diseases: Current status, outlook, and challenges

This article explores innovative approaches to managing fish diseases in aquaculture. It highlights the use of advanced tools such as IoT sensors, artificial intelligence, and machine learning for early detection and control of pathogens. These technologies enable proactive monitoring, reducing the impact of diseases on aquaculture productivity. This review aims to provide comprehensive information on the various aspects and challenges associated with modern technologies for controlling pathogenic microorganisms, as well as the potential benefits of using the IoT to improve fish health and welfare in aquaculture.