Big data system based on vegetable price prediction recommendation

Fecha de publicación: 01/10/2019
Fuente: Wipo "BigData"
The invention provides a big data system based on vegetable price prediction recommendation. The big data system comprises an infrastructure layer, a data resource layer, a supporting layer, an application layer and an access layer which are deployed from bottom to top. The method can provide agricultural industry management decision support for extremely-poor town governments and superior governments, meets agricultural industry development and precise poverty alleviation requirements, realizes exploration of big data and entity economy fusion, and provides support for innovative data application modes and precise poverty alleviation career development. Vegetable poverty alleviation big data services are provided for peasant households and agriculture-related enterprises, the requirementfor driving the poverty population to increase income in the agricultural industry is met, and the obtaining feeling and satisfaction degree of people, especially the poverty population, are improved.Vegetable market price and demand trend are predicted by using a big data technology, agricultural production is guided, and blind planting is avoided; the income of farmers is increased by predicting vegetable prices, analyzing revenue and assisting relevant decisions.