Mississippi State University
Date of Degree
Graduate Thesis - Open Access
Electrical and Computer Engineering
Master of Science (M.S.)
James Worth Bagley College of Engineering
Department of Electrical and Computer Engineering
With an increased interest in precision agriculture, it is important to identify efficient ways to monitor soil moisture. Soil moisture can be monitored using handheld sensors, but this method is laborious and time consuming. Remote methods, such as radar systems can be used as well, but these methods require ground truth data to verify their accuracy. It becomes clear that to collect this data regularly and reliably, a mobile robotic device is necessary. This thesis proposes to implement mobile robot take soil moisture measurements with less human effort than existing methods while maintaining the same accuracy. This soil moisture data collection system uses an unmanned ground vehicle (UGV) to take measurements with position data. This system uses an actuator inserted soil moisture probe, and a radio frequency identification (RFID) sensing system that uses buried moisture sensing tags. Field testing of both measurement systems showed that the actuator-based system worked reliably.
Flynt, Austin Edward, "Unmanned ground vehicle system to collect soil moisture data" (2021). Theses and Dissertations. 5333.