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

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.