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Study on rice pest insect and disease diagnosis expert system in Jiangxi province using BP neural network

The accurate diagnosis of rice pest insects and diseases is very important for high yielding and high quality cultivation of rice. Because the characteristics of rice pest insects and diseases are miscellaneous, and its occurred environment is complex, it is difficult to diagnose accurately using artificial intelligence system. In this study, BP neural network technology is applied to a rice pest insects and diseases diagnosis expert system, it can get better result than the general expert system inference engine while processing the incomplete and vague information.