Vegetable day-to-day price predicting method and device

Abstract

The invention provides a vegetable day-to-day price predicting method and device. The method comprises the following steps: obtaining price day-to-day data of a predicted vegetable, wherein the day-to-day data at least comprises a vegetable day-to-day price and corresponding meteorological data; converting the day-to-day data of the vegetable into month-to-month data or season-to-season data, carrying out data processing on the month-to-month data or season-to-season data to obtain a month-to-month fluctuation item or season-to-season fluctuation item which influences the vegetable price and converting the month-to-month fluctuation item or season-to-season fluctuation item into a day-to-day fluctuation item; testing the day-to-day fluctuation item to determine whether a stable correlation exists between the vegetable price and the meteorological data; and when the stable correlation exists between the vegetable price and the meteorological data, predicting the vegetable price by utilizing a prediction model. According to the vegetable day-to-day price predicting method and device, the meteorological factor-based day-to-day prediction of vegetable prices is realized.

Description

technical field [0001] The present 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 supply and demand relationship. At the same time, as fresh agricultural products, vegetables are not easy to store and are easily affected by various factors, thus presenting 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, ...

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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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