Method for forecasting price trend of agricultural products

Abstract

The invention discloses a method for forecasting the price trend of agricultural products. The method for forecasting the price trend of the agricultural products is characterized by comprising the following steps that (1), articles related to the prices of the agricultural products and provided with expert predictive views are collected through a computer; (2), duplication eliminating is carried out on the collected articles; (3), elements of the articles are extracted and stored; (4), the areas to which the described agricultural products belong in the articles are identified; (5), the predictive views, on the agricultural products, of experts are analyzed through a text mining technology, and are quantized and stored; (6), computer modeling is carried out according to the publish date of the articles, the areas to which the agricultural products belong, the varieties of the agricultural products and the quantized trend predictive views, and the trend of the prices of the agricultural products is forecasted through a set model. Compared with the prior art, the method has the advantages that the data collection cycle is shorter, the collection cost is almost zero, the overall trend of the prices of the agricultural products within a period in the future can be forecasted, and the accuracy and reliability of forecasting are higher.

Description

technical field [0001] The invention relates to a method for predicting the price trend of agricultural products, in particular to a method for predicting the long-term trend of the price of agricultural products by using computer technology, and the invention belongs to the field of computer technology. Background technique [0002] my country is a large agricultural country with a large agricultural population and a wide variety of crops. In the past ten years, the state has invested a lot of manpower and material resources to support the economic development of agriculture and rural areas, and achieved remarkable results. As an integral part of the development of agriculture and rural economy, agricultural informatization plays a pivotal role in the development. In the field of agricultural informatization, monitoring the price trend of agricultural products and making effective forecasts are of great significance for the government to carry out macro-control and agricul...

AI Technical Summary

Problems solved by technology

This type of method is based on the agricultural product price data as the center of modeling, and the accuracy is often limited by the accuracy of the collected agricultural product price data. In reality, collecting accurate agricultural product price data requires a lot of manpower, material resources and resources. Long time period, which often restricts the general applicability of this type of method

In addition, another disadvantage of this type of method is that it can only predict the future discrete price data, and cannot predict the future overall price trend. In practical applications, people often pay more attention to the overall fluctuation trend of agricultural product prices.

[0005] To sum up, for the price forecasting problem of agricultural products, although there have been many solutions and some results have been achieved, the existence of the above problems greatly limits the general applicability of these methods

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