Design and Implementation of Agricultural Production and Market Information Matching Recommendation System in the Cloud Environment

Abstract

At present, in China, small farmers decentralized production doesn’t keep pace with the agricultural products market development requirements. This paper provides a new way by using the cloud computing technology to design and implement the agricultural production and marketing information matching recommendation system in the cloud computing environment. The platform collects agricultural market information from internet through NUTCH (an open source search engine), builds a market space data warehouse and data sources, studies and proposes the user’s interested model, which is more suitable for the agriculture-related objects and agricultural production and marketing docking combination push algorithm. Studying and setting up three subsystems of the platform: the market price data acquisition subsystem in respect of the agricultural products based on WEB, the agricultural products deal-making subsystem and the recommendation subsystem of marketing network information. The system’s implementation results show that it runs normally, gains good economic benefits and achieves the expected design purpose.