  In this paper an application for building sensor wallet is presented.
Currently, given system collects sensor data from The Things Network (TTN)
cloud system, stores the data into the Influx database and presents the
processed data to the user dashboard. Based on the type of the user, data can
be viewed-only, controlled or the top user can register the sensor to the
system. Moreover, the system can notify users based on the rules that can be
adjusted through the user interface. The special feature of the system is the
machine learning service that can be used in various scenarios and is presented
throughout the case study that gives a novel approach to estimate soil moisture
from the signal strength of a given underground LoRa beacon node.
