Expert System for Drying Schemes of Agricultural Products Based on Fuzzy Control and BP Neural Network

Abstract

Drying is an important part of crop processing. The parameters before drying have a great impact on the drying results. Therefore, it is necessary to choose a reasonable drying scheme. According to the factors affecting the drying quality of agricultural products, an expert system of drying schemes is designed by us. This system is based on the fuzzy algorithm and BP neural network. We provide a method to improve the reasoning ability of the system. We use the hot air drying process warehouse of agricultural products as the experimental platform, Tremella as experimental object. We perform drying experiments by two mainstream ways of generating drying schemes and our system’s method. Simulation results show that the system can not only generate better drying schemes but also can use the drying results to gradually improve its reasoning ability. At present, the accuracy of the system is as high as 80%.