Construction of intelligent supply chain system of agricultural products based on big data

Abstract

ABSTRACT The core of agricultural product supply chain management is to emphasise the use of integrated thoughts and concepts to guide the management practices of enterprises. That is, the operation of the entire supply chain is guided by consumer demand rather than the individual management of links, and the entire supply chain is strictly controlled as a system. Based on big data technology, this paper constructs a high-performance agricultural product recommendation algorithm. Aiming at the lagging construction of my country’s agricultural product supply chain network facilities, low integration of various operating links, high logistics costs, imbalances in supply and demand, and serious agricultural product quality and safety issues, this paper combines the big data technology to study the agricultural product intelligent supply chain system, and uses the network equilibrium method to construct the agricultural product supply chain network model that considers the effort level of multiple producers and retailers. Finally, this paper proves the reliability of the system model in this paper through experimental research.