Empirical Evaluation of China's Agricultural Product Supply Chain Risks under the Internet of Things Environment

In order to adapt to the rapid development of China's agriculture and the process of transformation from traditional agriculture to modern agriculture, it is urgent to introduce the Internet of Things technology in the development of agricultural product supply chain. With the help of Internet of Things technology, the complex problems in the production process of agricultural products can be effectively handled, the quality and production safety of agricultural products can be effectively controlled, and the construction of information-based, energy-saving and scientific agriculture can be promoted. However, while the new supply chain model improves the above problems, it may also cause new risks. Based on this, this paper takes the agricultural product supply chain under the Internet of Things environment as the research object, uses the HHM method to construct the risk index system of the agricultural product supply chain under the Internet of Things environment, uses the BP neural network method to evaluate the risk of the system, and uses MATLAB to simulate the BP neural network evaluation model. At the same time, taking M Company as an example, an empirical analysis is carried out to study the risk data of the company's agricultural product supply chain under the Internet of Things environment. The results show that the risk level of the company's agricultural product supply chain under the Internet of Things environment is at a normal risk level, which shows that the model has a good ability to predict the risk level of the agricultural product supply chain under the Internet of Things environment. Aiming at the six factors that affect the high risk of agricultural product supply chain of M Company under the Internet of Things environment , this paper proposes control measures and suggestions for the risks of agricultural product supply chain under the Internet of Things environment from the aspects of information sharing degree, production and processing safety, transportation timeliness, supply and demand risks, information security risks, cold chain transportation and storage, and establishment of early warning mechanism, aiming to maximize the overall interests of agricultural product supply chain under the Internet of Things environment and enhance the core competitiveness.