A Versatile, Machine-Learning-Enhanced RF Spectral Sensor for Developing a Trunk Hydration Monitoring System in Smart Agriculture

A Versatile, Machine-Learning-Enhanced RF Spectral Sensor for Developing a Trunk Hydration Monitoring System in Smart Agriculture

This paper comprehensively explores the development of a standalone and compact microwave sensing system tailored for automated radio frequency (RF) scattered parameter acquisitions. Coupled with an emitting RF device (antenna, resonator, open waveguide), the system could be used for non-invasive mo...

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Bibliographic Details
Main Authors: Oumaima Afif, Leonardo Franceschelli, Eleonora Iaccheri, Simone Trovarello, Alessandra Di Florio Di Renzo, Luigi Ragni, Alessandra Costanzo, Marco Tartagni
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Sensors
Subjects:
microwave sensors
NanoVNA
Raspberry Pi
precision agriculture
machine learning
Online Access:https://www.mdpi.com/1424-8220/24/19/6199
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