Fresh agricultural product data mining integration system based on big data analysis

Abstract

The invention discloses a big data analysis-based fresh agricultural product data mining integration system, and belongs to the technical field of big data algorithms. According to the invention, the price and demand are predicted through the pricing and demand model, and market information is mastered in advance; the pricing prediction module helps the sales end to accurately price, so that the competitiveness of the sales end in price is improved; the vegetable farmer end can visually see the purchase price provided by the sales end, so that the vegetable farmer end can conveniently find the sales end with a proper price and make a transaction choice; based on market demands and sales conditions of fresh agricultural products in the last year, planting planning recommendation is given to avoid contradiction between supply and demand, and a certain selection right of planting types of vegetable farmers is reserved while planting planning is regulated and controlled; the system fully solves the supply and demand contradiction of fresh agricultural products, retains the selection of a vegetable farmer terminal for a sales terminal and planting, and fully guarantees the benefits of the vegetable farmer terminal and the sales terminal.

Description

technical field [0001] The invention relates to the technical field of big data algorithms, in particular to a data mining and integration system for fresh and live agricultural products based on big data analysis. Background technique [0002] Fresh agricultural products refer to fresh vegetables, fruits, aquatic products, poultry and livestock and their meat products that are closely related to residents’ lives, because there are many links in the whole process of fresh agricultural products from production to purchase, transportation, storage, wholesale, and retail. It is difficult to be managed as a whole; take vegetables as an example, the seasonality of fresh agricultural products, and fresh vegetables need to be constantly in season throughout the year, resulting in unsustainable procurement; at the same time, the information is not equal between the wholesale market, transportation and vegetable farmers, resulting in There is a contradiction between supply and demand...

AI Technical Summary

Problems solved by technology

[0002] Fresh agricultural products refer to fresh vegetables, fruits, aquatic products, poultry and livestock and their meat products that are closely related to residents’ lives, because there are many links in the whole process of fresh agricultural products from production to purchase, transportation, storage, wholesale, and retail. It is difficult to be managed as a whole; take vegetables as an example, the seasonality of fresh agricultural products, and fresh vegetables need to be constantly in season throughout the year, resulting in unsustainable procurement; at the same time, the information is not equal between the wholesale market, transportation and vegetable farmers, resulting in There is a contradiction between supply and demand. Due to the limitation of the sales volume of vegetable stalls, there are even rejections of vegetables, and the dumping of vegetables is not as good as picking and selling;

[0003] In recent years, people have tried many methods to solve the problems of fresh agricultural products, limited to scattered planting areas and scattered purchases. People mostly optimize logistics and transportation, such as optimizing transportation routes through genetic algorithms; The sales channels of dishes and the inflated prices of vegetables in cities have not substantially solved the problem of the contradiction between supply and demand.

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