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 (...

Descripción completa

Detalles Bibliográficos
Autores principales: Bertocco, Matteo, Parrino, Stefano, Peruzzi, Giacomo, Pozzebon, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9965548/
https://www.ncbi.nlm.nih.gov/pubmed/36850627
http://dx.doi.org/10.3390/s23042033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9965548/
https://www.ncbi.nlm.nih.gov/pubmed/36850627
http://dx.doi.org/10.3390/s23042033

Ejemplares similares