Agricultural product price fluctuation monitoring method and system

Abstract

The invention discloses an agricultural product price fluctuation monitoring method and system. The method comprises the steps of obtaining daily average prices of agricultural products of the same type in the same province over the years, and determining a week average price data set according to the daily average prices; generating a week average price histogram according to the week average price data set; wherein the horizontal axis of the week-average price histogram represents an agricultural product price interval, and the longitudinal axis represents the number of week-average prices with labels in the agricultural product price interval; calculating the frequency and frequency of the weekly average price in the same month in each agricultural product price interval; determining anagricultural product historical price fluctuation interval of each month according to the frequency number and the frequency; and monitoring agricultural product price fluctuation according to the agricultural product historical price fluctuation interval. The method and the system have the advantage that the agricultural product price fluctuation monitoring reliability can be improved.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a method and system for monitoring the price fluctuation of agricultural products. Background technique [0002] The price of agricultural products can affect the input of agricultural producers in agricultural production, which in turn has an important impact on agricultural development. Data mining and analysis of agricultural product prices and extracting valuable information can provide effective decision-making basis for agricultural production. Restricted and affected by many factors such as supply and demand of agricultural products, production and transportation costs, international trade strategies, and weather, the prices of agricultural products are prone to significant volatility, which affects the vital interests of agricultural producers and consumers. At the same time, agricultural prices show significant regularity in different months of the year. For example, ...

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Problems solved by technology

Another study adopts the method of quantitative analysis, by comparing the current price with the average value of the price in the same period of history to study and judge the significance of fluctuations, and only considers a single average value index without considering the interval attribute, so as to provide decision-making information for agricultural production on this basis. Reliability cannot be guaranteed

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