Agricultural Product Data Analysis System based on Big Data Platform
DOI:
https://doi.org/10.54691/ftkys179Keywords:
Agricultural Product Data; Spark; Hive; Echarts.Abstract
With the continuous development and popularization of information technology, the agricultural sector has gradually entered the digital age. The traditional agricultural data processing methods are relatively inefficient and cannot meet the growing data demands and complex agricultural production environments. This article constructs an agricultural product data analysis system, which automatically obtains data such as agricultural product prices and market information by crawling and parsing data from agricultural product related websites. By utilizing big data platforms for processing and analysis, statistical analysis, mining, and modeling of agricultural product market data are conducted, providing users with a comprehensive display and prediction of national agricultural product price trends, market size, hot selling products, and other data. This ensures the reliability and efficiency of the data, and utilizes visualization technology to provide users with a user-friendly interface and convenient data query functions.
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