LSTM and CNN were fused to develop a new fish disease detection system. This approach provides early and more accurate detection compared to conventional methods by analyzing temporal and visual data. The system can help reduce economic losses from disease outbreaks. While results are promising, challenges remain regarding interpretability, costs, and real-world implementation across different aquaculture environments. Further research is needed to address these limitations and refine the methodology.