Agricultural products are an important part of my country’s economy and trade.The supply chain of agricultural products is not only related to people’s livelihood,but also closely related to the development of the national economy.It is an overall major strategic issue affecting social harmony and stability.Under the influence of the global novel coronavirus pneumonia epidemic,due to the epidemic control and border closures,the national agricultural product market,supply chain and trade have been affected.The production and operating costs of my country’s small,medium and micro agricultural products enterprises have been severely impacted,and the support of funds is urgently needed to inject vitality.In the context of the new crown pneumonia epidemic,in-depth analysis of the impact of the epidemic on agricultural products companies will help to study the financial risks of agricultural supply chains,help improve the overall risk response capabilities of agricultural supply chain finance,and meet economic and social development and stable production of agricultural products.Guarantee the demand of supply.This paper uses the LSTM neural network improved by the artificial bee colony algorithm to collect the financial data of the domestic representative agricultural core enterprises in recent years,and uses the supply chain financial risk indicator data as the training sample to explore the use of LSTM neural network for sales forecasting feasibility,predict the key financial indicators of core enterprise supply chain financial risk indicators in 2020 to 2021,compare the forecast results with actual financial data,and explore the impact of the new crown pneumonia epidemic on supply chain finance from core enterprise financial data.Impact and its conclusions.The end of this article provides practical ideas and suggestions for the security and stability of my country’s agricultural supply chain finance. |