Soil Volumetric Water Content Measurement Based on LoRa RSSI and UAV

Soil Volumetric Water Content (VWC) is a crucial parameter for agriculture. In recent years, LoRa-based Internet of Underground Things (IoUT) has been developed rapidly. In this paper, we propose a method for measuring soil VWC using Received Signal Strength Indication (RSSI) of LoRa based IoUT. Low-error LoRa-RSSI data are collected using a hovering planar rotating Unmanned Aerial Vehicle (UAV), and analyzed using Long Short-Term Memory (LSTM) deep learning method. The experimental results show that the soil VWC can be measured more accurately by this method.