Holistic IoT and cloud-based telemetry architecture for proactive fire monitoring in smart agriculture.

Agricultural fields are becoming more prone to fires because the climate is changing and dry plant material builds up. This project describes a complete IoT and cloud‑based telemetry system that can watch for fires in smart farms before they start. The system uses multi‑sensor nodes that measure temperature, humidity, and gas levels. Each node runs a low‑power microcontroller that processes the data locally. The processed data is sent wirelessly to a central cloud platform, where it can be visualized and analyzed in real time. When any measured value crosses a preset threshold, the system triggers an alert. This early warning lets responders act quickly to stop a fire from spreading.

The guide for building the system covers three main areas: – calibrating the sensors so they give accurate readings, – optimizing the wireless telemetry link for reliable communication across large farm areas, and – integrating the data into a cloud dashboard for easy monitoring. Following this framework, students can learn how to design telemetry networks, combine data from different sensors, and set up cloud‑based alerts. The result is a practical way to reduce fire risks in agriculture using automated sensing and control.

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