Agricultural product price analysis method and system

Abstract

The invention relates to an agricultural product price and quantity analysis method and system, and the method comprises the steps: carrying out the automatic clustering of a monthly transaction data set over the years through employing a K-means clustering algorithm based on K-fold cross validation, and determining the reasonable range of the monthly price and the reasonable range of the monthly sales of each cluster; and further judging whether the monthly average price of each object in the clustering cluster is within the reasonable range of the monthly price of the clustering cluster and whether the monthly average trading volume is within the reasonable range of the monthly sales volume, warning the objects which are not within the reasonable range, and mining months with abnormal prices or sales volumes over the years. The method also calculates the Pearson product-moment correlation coefficient between the monthly average price and the monthly average trading volume, then determines the correlation between the monthly average price and the monthly average trading volume, and finally displays the clustering result and the correlation in the form of a scatter diagram through a display unit. And the reasonable range of monthly price and the reasonable range of monthly sales are displayed in the form of a histogram, so that clustering display of the agricultural product price and the trading volume is realized.

Description

technical field [0001] The invention relates to the technical field of agricultural big data, in particular to a method and system for analyzing the quantity and price of agricultural products. Background technique [0002] Agricultural development is the primary issue of China's economic and social development. The production capacity and output level of agriculture are directly related to whether it can meet the production needs of the industrial economy and the development process of industrialization. The allocation of agricultural resources and the level of agricultural yield directly restrict the growth of rural household income, which in turn affects the growth of rural household consumption demand and the improvement of quality of life. Therefore, the analysis of agriculture is crucial for economic development. [0003] Price and volume have always been two very important aspects in agricultural analysis. Sales volume affects price adjustment to a large extent, and...

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Problems solved by technology

However, in the prior art, the price and trading volume are generally studied and analyzed separately, but there is no comprehensive analysis of the relationship between price and trading volume.

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