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IoT Application on Agricultural Area Surveillance and Remote-controlled Irrigation Systems

This research applies IoT technology to help farmers overcome two problems by proposing an agricultural land surveillance system and a remote-controlled irrigation system. The agricultural land surveillance system in this research was designed to detect object’s motion, take pictures of objects, and send image data to the user’s smartphone. The surveillance system also provided a live streaming video mode by request. The irrigation system was designed to monitor temperature, send data to the user, and allowing the control of water pump operation remotely by the user via a smartphone. Tests on systems performance show that both systems performed properly. In the surveillance system, the optimal distance for motion detection by the sensor was 6 meters. On sunny days, the time needed from taking the image when motion was detected and notification received by the user was 4.9 seconds while the interval from notification to the image sent was 3.9 seconds. In live streaming video mode, the user must wait 2.3 seconds on average to receive live streaming video on a smartphone. In the irrigation system performance, the average temperature measurement error of the sensor was 1.49%. Sensor data transmission to the user’s smartphone works well and the user can remotely control the pump operation.