Generating Simulated IoT Time Series for Agricultural System Monitoring

This article investigates the transformative potential of Internet of Things (IoT) technology in the agricultural domain, specifically focusing on an integrated IoT-based simulation platform. This platform empowers agricultural practitioners with expeditious access to critical data by amalgamating real-time data management, collected and transferred by Python scripts and visualization tools such as InfluxDB and Grafana. This includes the incorporation of visual gauges to enhance real-time decision-making processes. The central tenet of this approach revolves around the seamless acquisition, transmission, and analysis of real-time data, facilitating precise predictive modeling and informed decisions aimed at optimizing crop yields and fostering sustainable agricultural practices. This research lays the foundation for a new era of precision agriculture, wherein IoT technology and simulation coalesce to comprehensively address the diverse challenges inherent to contemporary farming.