Estimating Volumetric Water Content in Soil for IoUT Contexts by Exploiting RSSI-Based Augmented Sensors via Machine Learning

Estimating Volumetric Water Content in Soil for IoUT Contexts by Exploiting RSSI-Based Augmented Sensors via Machine Learning

This paper aims at proposing an augmented sensing method for estimating volumetric water content (VWC) in soil for Internet of Underground Things (IoUT) applications. The system exploits an IoUT sensor node embedding a low-cost, low-precision soil moisture sensor and a long-range wide-area network (...

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Bibliographic Details
Main Authors: Matteo Bertocco, Stefano Parrino, Giacomo Peruzzi, Alessandro Pozzebon
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
IoT
IoUT
LoRa
LoRaWAN
virtual sensor
augmented sensor
Online Access:https://www.mdpi.com/1424-8220/23/4/2033

Internet

https://www.mdpi.com/1424-8220/23/4/2033

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