The chapter describes an integration of IoT and UAVs in Medenine, Tunisia, used to test environmental parameters on an agricultural area for one year until March 2021. Sensors were deployed both on the field and above it, transmitting data every hour, with cloud analysis every 12 hours. The UAV carried a communication module and camera, while the IoT system included a control station, gateway, soil moisture sensors, and environment sensors for temperature, humidity, precipitation, and solar intensity. Results indicated the data was useful for increasing crop productivity.

The case study in Medenine, Tunisia, integrated IoT and UAV technology to monitor environmental conditions on farmland. The system ran for one year, through March 2021. Field-level and above-field sensors gathered data, which was transmitted hourly and analyzed on the cloud at 12-hour intervals. The UAV was equipped with a communication module and a camera, while the IoT infrastructure consisted of a control station, gateway, soil moisture sensors, and sensors measuring temperature, humidity, precipitation, and solar intensity. The study found that the collected data was beneficial for improving crop productivity.

Key points

The integration was tested on agricultural land in Medenine, Tunisia, for one year until March 2021.
Sensors were deployed both on the field and above the field to monitor environmental parameters.
Data was transmitted every hour and analyzed on the cloud every 12 hours.
The UAV carried a communication module and a camera.
The IoT setup included a control station, gateway, soil moisture sensors, and sensors for temperature, humidity, precipitation, and solar intensity.
Results indicated the data was useful for increasing crop productivity.

How does the chapter describe the integration of IoT and UAVs in the Medenine, Tunisia study?

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