AgriChainSync: A Scalable and Secure Blockchain-Enabled Framework for IoT-Driven Precision Agriculture

Hassam Ahmed Tahir, Walaa Alayed, Waqar Ul Hassan, Fahad Nabi, Truong X. Tran

Research output: Contribution to journalArticlepeer-review

Abstract

The rapid advancement of precision farming, automated irrigation systems, and predictive analytics has revolutionized agriculture, but these innovations also introduce new challenges, particularly in data integrity and security. With the increased usage of IoT devices, data integration of vast amounts of data becomes critical. This paper proposes a comprehensive framework, AgriChainSynch, which integrates IoT, blockchain, and artificial intelligence systems to address these challenges. The proposed framework shows a dynamic data storage algorithm that optimizes storage decisions based on data characteristics and features. Furthermore, the Blockchain Integration Layer (BIL) ensures security and scalability with a Feedback and Adaptation Module (FAM) that continuously improves systems performance. The proposed hybrid blockchain structure balances privacy and scalability with homomorphic encryption. Extensive experimentation and validation demonstrate that the proposed framework improves storage efficiency with reduced processing time and enhances network performance, offering improved solutions for modern agricultural systems. The findings underscore the potential of integrating IoT, blockchain, and AI under one umbrella, supporting large-scale farming operations.

Original languageEnglish (US)
Pages (from-to)162940-162955
Number of pages16
JournalIEEE Access
Volume12
DOIs
StatePublished - 2024

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Materials Science
  • General Engineering

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