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Research on Smart Agriculture Big Data System Based on Spark and Blockchain

  • Yuming Sun,
  • Hua Wang

摘要

In order to improve the intellectualization of the agricultural industry, this paper designs and implements a secure agricultural big data ecosystem on Spark big data platform, which allows farmers and wholesalers to know the sales status of the agricultural market in real time. All sales data are distributed in different agricultural institutions, and some are even decentralized registration, to ensure the independent storage of these data. Blockchain, as a distributed ledger technology for multiple parties to maintain and back up information security, is a good breakthrough for agricultural data sharing innovation. This system implements the agricultural big data center on the Spark big data platform. Through the data synchronization module and independent data acquisition system, the original distributed data is centrally stored and analyzed. The agricultural products sales information system uses the advantages of Spark big data platform to provide personalized agricultural products services for farmers and wholesalers.