A Review of Agricultural Product Price Forecasting Research

Shenzhen College of International Education, Shenzhen 518035, China

^* Corresponding author: AaronZhao997962@outlook.com

Abstract

Agricultural products are closely related to the development of the country. Accurate and effective prediction of agricultural products prices is of great significance for stabilizing the market and relevant management departments. In this research, the agricultural product price forecasting methods are summarized. According to the principle of different methods, the existing forecasting methods are roughly divided into three parts: traditional forecasting methods, intelligent forecasting methods, and hybrid forecasting methods. Through the introduction and analysis of each method, this paper finds that the traditional prediction method is only effective in simple linear or nonlinear models. The intelligent prediction method has wider applicability and accuracy, and is also the mainstream prediction method. The hybrid prediction method is a relatively new prediction method, which has better prediction effect. The induction and summary of the prediction methods in this paper provide reference for the follow-up research on agricultural product price prediction.