Intelligent circulation system modeling using bilateral matching theory under Internet of Things technology

Abstract

The purpose is to promote the supply–demand market circulation of agricultural products and agricultural informationization. First, Artificial Intelligence (AI) and Internet of Things (IoT) applications in the matching circulation of agricultural products are analyzed theoretically. The IoT technology is then designed based on AI algorithms and used in a logistics company’s operating system that transports agricultural products. Compared with the traditional circulation mode of agricultural products, intelligent IoT (IIoT) can provide stable market supply, reduce time and circulation costs, and enhance information communication. Chinese farmers have the facilities to operate the IIoT platform. Advice and suggestions on implementing the platform are given. Applying IIoT to match agricultural supply and demand information can reduce the circulation cost, integrate the supply–demand information of various products, and timely and efficiently convey the supply–demand information, thereby promoting the informationization of agricultural market and rural economy development.