MSEAES: An egg non-destructive detecting expert system based on multi-sensor fusion

Multi-sensor fusion model based on non-destructive detection expert system for agricultural products is a new direction in non-destructive detection research of agricultural products. In this study, egg has been taken as the research object. The system was supported by the egg quality information, physiological and biochemical index, detection characteristics and detection algorithms. The egg non-destructive detection expert system design consists of 3 modules which are knowledge model designing, the model base designing and the inference engine design applying the multi-sensor fusion technology and soft engineering method. The system has been developed in the .NET platform with C++ programming language and Access System has been taken as database system´s construction. The system has good characteristics such as predicting performance, high intelligence, self-learning and so on. The system provided critical intelligence data and application modules for reconstruction and intellectualization of agricultural non-destructive detection process.