Expert system for fish disease diagnosis based on fuzzy neural network

The expert system has been studied and applied to solve the status of frequent diseases and lack of fish disease experts in aquaculture. This paper proposes fish disease diagnosis expert system based on fuzzy neural network, which takes grass carp disease diagnosis as an example; the expert system is designed to overcome the “bottleneck” problems of knowledge acquisition for traditional expert system and to deal with the complexity, fuzziness and randomness between symptoms and diseases. Accurate diagnosis and timely treatment will be realized and thus benefit aquaculture farmers.