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Real-Time Smart Farming with Ai Prediction and Blockchain-Based Fair Trade Mechanism

Author

Listed:
  • Dr. Sumathy Kingslin

    (Quaid-E-Millath Government College for Women, Chennai)

  • Ms. K. Vaishnavi

    (Quaid-E-Millath Government College for Women, Chennai)

Abstract

The increasing demand for data-driven and transparent agricultural systems has led to the adoption of advanced digital technologies. This paper presents the second phase implementation of a real-time smart farming platform that integrates Internet of Things (IoT), Artificial Intelligence (AI), and blockchain technologies. IoT sensors continuously monitor field conditions and transmit real-time data to a backend server for processing and storage. An AI-based prediction module analyzes sensor data to support timely agricultural decision-making. To ensure fair and transparent trade, blockchain-based smart contracts are employed to record and execute agricultural transactions without intermediaries. Experimental results demonstrate reliable real-time data handling, effective AI prediction performance, and secure trade execution, validating the practicality of the implemented system.

Suggested Citation

  • Dr. Sumathy Kingslin & Ms. K. Vaishnavi, 2026. "Real-Time Smart Farming with Ai Prediction and Blockchain-Based Fair Trade Mechanism," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 11(2), pages 1077-1083, February.
    • Handle: RePEc:bjf:journl:v:11:y:2026:i:2:p:1077-1083
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