Agricultural business and product marketing effected by using big data analysis in smart agriculture

Abstract

ABSTRACT To expand agricultural business and upgrade the effects of product marketing, supported by the concept of smart agricultural, this paper introduces us the methods to undertake agricultural business promotion and build up product marketing system in combination with big data technology and machine learning technology, put forward the application of fuzzy c-means algorithm in the agricultural marketing data. The algorithm is a clustering algorithm that uses degree of membership function to determine which cluster each data point belongs to; thus to build up a basic model of smart agriculture based on actual situation, and integrate the agricultural business promotion and agricultural products marketing, as important function modules, into the agricultural products marketing system; and then the process of this system is analysed before the frame of the overall system is shaped; based on which, system performance verification is conducted by designed test. From the research, the agricultural business promotion and products marketing system based on smart agriculture have some positive effect.