Aqua Health Vision

Abstract— The "Aqua Health Vision" is aimed at forecasting fish disease diagnosis and to overcome various challenges in it has still not achieved any success. Conventional techniques for detecting diseases in fish, such as visual observations and laboratory analysis, are frequently less efficient and labor-intensive. With the evolution gained through technology, Artificial Intelligence (AI) and Machine Learning (ML) are becoming powerful tools to enhance detection and management of fish diseases.This paper discusses how these technologies are used to detect the fish diseases and presents various means of recovering from these diseases. In aquaculture, AI system can be used to analyze vast amounts of data, identify patterns and make decisions or predictions. Keywords— Fish Disease ,Deep Learning ,Aquaculture ,YOLO-V9.