A method and device for forecasting daily vegetable prices

Abstract

An embodiment of the present invention provides a method and device for predicting daily vegetable prices, the method comprising: obtaining daily data of the predicted vegetable prices, the daily data at least including daily vegetable prices and corresponding meteorological data; The daily data is converted into monthly data or quarterly data, and after the monthly data or quarterly data are processed, the monthly fluctuation items or quarterly fluctuation items affecting vegetable prices are obtained, and the monthly fluctuation items or The seasonal fluctuation item is converted into a daily fluctuation item; the daily fluctuation item is checked to obtain whether there is a stable correlation between the vegetable price and the meteorological data; when there is a stable correlation between the vegetable price and the meteorological data , then use the predictive model to predict the vegetable price. The invention realizes daily forecasting of vegetable prices based on meteorological factors.

Description

technical field [0001] This application relates to the technical field of vegetable price forecasting, in particular to a daily vegetable price forecasting method and device. Background technique [0002] As a commodity, the price fluctuation of vegetables is firstly affected by the general relationship between supply and demand. At the same time, as a fresh agricultural product, vegetables are not easy to store and are easily affected by various factors, thus showing unique regular price fluctuations. [0003] Existing vegetable price forecasting generally uses vegetable price data, adopts time series decomposition and H-P filtering technology, decomposes vegetable price into four parts: seasonal fluctuation, random fluctuation, periodic fluctuation and long-term trend, and calculates the impact of each fluctuation component on The contribution of vegetable price fluctuations is generally measured by quantitative forecasting and qualitative forecasting. [0004] However, t...

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Problems solved by technology

[0004] However, the existing vegetable price forecasting methods cannot realize the daily forecasting of vegetable prices, and the influence of various factors is not fully considered in the forecasting, resulting in inaccurate forecasting results and large deviations.

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