Abstract
The Application of Agricultural Resource Management Information System Based on Internet of Things and Data Mining
Highlights
With a vast territory and a large population, China is a famous agricultural country in the world
The first group of experiments is aimed at the Internet of Things (IoT)-based information agriculture tracking model, and the tracking performance of the whole model is tested from the production link, processing link, and commodity sales link
Based on IoT and data mining, an information-based agricultural tracking model and an information-based agricultural management decision model are proposed from the perspective of production and management, respectively
Summary
With a vast territory and a large population, China is a famous agricultural country in the world. In the research phase of the demand for agricultural tracking management model, due to the continuous growth of IoT users, cloud networks need to continuously process many information and data, which will cause great pressure during peak periods [19]. Data mining is a decision support process, mainly based on highly automated analysis of business data, inductive reasoning, and potential model extraction It includes artificial intelligence, machine learning, pattern recognition, statistics, database, and visualization. Object Linking and Embedding (OLE) Automation is adopted to integrate GIS functions and integrate them into the entire model
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