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Blockchain Framework Tailored for Agricultural IoTs

  • Salaheddine Kably,
  • Nabih Alaoui,
  • Mounir Arioua,
  • Khalid Chougdali,
  • Samira Khoulji,
  • María Dolores Gómez-López

摘要

The proposed Multi-Zone Blockchain Framework for Agriculture IoT significantly enhances agricultural IoT applications by integrating advanced, secure blockchain technologies. It incorporates the Enhanced Blowfish Algorithm (EBA) for robust authentication and leverages a Bayesian-Direct Acyclic Graph (B-DAG) for superior network optimization, ensuring data integrity while maximizing resource efficiency. The framework’s Gateway layer utilizes Recurrent Neural Networks (RNNs) to analyze sensor data streams for patterns or anomalies before sending information to the cloud for deep data analysis based on Google’s BERT, enabling precise monitoring of environmental conditions to inform agricultural decision-making. This approach not only optimizes crop yield and resource management but also introduces efficient waste management practices, demonstrating a transformative step towards smarter, more secure agricultural methodologies.