The Application of Agricultural Resource Management Information System Based on Internet of Things and Data Mining

To promote the progression of information management of agricultural resources in China, the present situation of agricultural management model in China is introduced, and an information agricultural tracking model based on Internet of Things (IoT) is proposed according to the characteristics of production flow of agricultural products. Then, the progression level of agricultural mechanization in China is analyzed based on data mining, and some suggestions are given. The research results show that in the four links of production, processing, transportation, and sales, the agricultural products tracking system in this study can simultaneously deal with more than 800 events per second when conducting information query. When the number of users reaches 20, the response time is 0.021 seconds. When processing messages sent by 100 users simultaneously, the response time is only about 0.12 seconds. When 160 users are sent to the system at the same time, the response time is less than 0.2 seconds. As the number of users sending messages at the same time increases, the response time remains within 0.3 seconds, although delayed. This system can effectively complete the agricultural commodity information tracking, with good performance, query speed, and high accuracy. The agricultural products tracking model in this study is very powerful to complete the information tracking of agricultural commodities, with good performance, fast query speed, and high accuracy. In summary, IoT and data mining are applied to agricultural resource information management, and the analysis and experiment are carried out. The results provide some ideas and references for the research of related technologies in agricultural management and progression.