Author(s)

Haiping Bi and Dongming Li

Corresponding Author

Haiping Bi

Abstract

This Seeds are the most basic and primary production materials in agricultural production. How to select suitable seeds for planting is the key to increase agricultural yield and harvest. However, in recent years, farmers have a difficult problem in corn seed selection process. Due to the complicated factors affecting the planting of corn seeds, the traditional corn seeds selection platform will rarely combine the geographical information and the common characteristics of farmers, it can’t make effectively recommendations for corn seeds that is really suitable for farmers to plant. At the same time, the traditional data processing mode has the problem of poor throughput and low load capacity while performing operation and storage. By summarizing the above problems, the paper designs the optimized management platform of corn seed based on private cloud by studying the method of hadoop distributed storage and collaborative filtering algorithm. The platform is based on big data-related technology to collect, store and analyze data, to solve the problems of low resource efficiency and insufficient storage capacity. Experimental data shows that the mean absolute error(MAE) of the recommended results is reduced by 14% compared with the traditional algorithm, and the recommendation quality is higher than the traditional algorithm

Keywords

Corn, Seed, Optimization, Hadoop, Collaborative, Filtering, Algorithm