Ambient FM backscattering for smart agricultural monitoring

Spyridion-Nektarios Daskalakis; John Kimionis; Ana Collado; Manos M. Tentzeris; Apostolos Georgiadis

doi:10.1109/MWSYM.2017.8058860

Ambient FM backscattering for smart agricultural monitoring

Spyridion-Nektarios Daskalakis, John Kimionis, Ana Collado, Manos M. Tentzeris, Apostolos Georgiadis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

32 Citations (Scopus)

Abstract

Nowadays the measurement of moisture level in plants is critical for agriculture. One way to detect this is to measure the temperature difference between the leaf and the air. This paper introduces a novel wireless leaf temperature sensor that utilizes ambient FM backscattering for smart agricultural applications. The sensor is based on an ultra low power micro-controller, a sensor board and a RF front-end for wireless communication. The sensor communicates using backscatter radio principles on ambient FM station signals using AM modulation with FM0 encoding. The prototype featured an effective operation up to ranges of 0.5 m by backscattering sensor information at 50 bps and 500 bps using an ambient FM radio signal inside a laboratory setup. A high percentage of bits was clearly visible up to 2 m at 50 bps.

Original language	English
Title of host publication	2017 IEEE MTT-S International Microwave Symposium (IMS)
Publisher	IEEE
Pages	1339-1341
Number of pages	3
ISBN (Electronic)	9781509063604
DOIs	https://doi.org/10.1109/MWSYM.2017.8058860
Publication status	Published - 5 Oct 2017

Keywords

Ambient Backscattering
Backscatter Communication
Internet of Things
RFID
Sensors

ASJC Scopus subject areas

Radiation
Condensed Matter Physics
Electrical and Electronic Engineering

Access to Document

10.1109/MWSYM.2017.8058860

Cite this

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title = "Ambient FM backscattering for smart agricultural monitoring",

abstract = "Nowadays the measurement of moisture level in plants is critical for agriculture. One way to detect this is to measure the temperature difference between the leaf and the air. This paper introduces a novel wireless leaf temperature sensor that utilizes ambient FM backscattering for smart agricultural applications. The sensor is based on an ultra low power micro-controller, a sensor board and a RF front-end for wireless communication. The sensor communicates using backscatter radio principles on ambient FM station signals using AM modulation with FM0 encoding. The prototype featured an effective operation up to ranges of 0.5 m by backscattering sensor information at 50 bps and 500 bps using an ambient FM radio signal inside a laboratory setup. A high percentage of bits was clearly visible up to 2 m at 50 bps.",

keywords = "Ambient Backscattering, Backscatter Communication, Internet of Things, RFID, Sensors",

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doi = "10.1109/MWSYM.2017.8058860",

language = "English",

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booktitle = "2017 IEEE MTT-S International Microwave Symposium (IMS)",

publisher = "IEEE",

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T1 - Ambient FM backscattering for smart agricultural monitoring

AU - Daskalakis, Spyridion-Nektarios

AU - Kimionis, John

AU - Collado, Ana

AU - Tentzeris, Manos M.

AU - Georgiadis, Apostolos

PY - 2017/10/5

Y1 - 2017/10/5

N2 - Nowadays the measurement of moisture level in plants is critical for agriculture. One way to detect this is to measure the temperature difference between the leaf and the air. This paper introduces a novel wireless leaf temperature sensor that utilizes ambient FM backscattering for smart agricultural applications. The sensor is based on an ultra low power micro-controller, a sensor board and a RF front-end for wireless communication. The sensor communicates using backscatter radio principles on ambient FM station signals using AM modulation with FM0 encoding. The prototype featured an effective operation up to ranges of 0.5 m by backscattering sensor information at 50 bps and 500 bps using an ambient FM radio signal inside a laboratory setup. A high percentage of bits was clearly visible up to 2 m at 50 bps.

AB - Nowadays the measurement of moisture level in plants is critical for agriculture. One way to detect this is to measure the temperature difference between the leaf and the air. This paper introduces a novel wireless leaf temperature sensor that utilizes ambient FM backscattering for smart agricultural applications. The sensor is based on an ultra low power micro-controller, a sensor board and a RF front-end for wireless communication. The sensor communicates using backscatter radio principles on ambient FM station signals using AM modulation with FM0 encoding. The prototype featured an effective operation up to ranges of 0.5 m by backscattering sensor information at 50 bps and 500 bps using an ambient FM radio signal inside a laboratory setup. A high percentage of bits was clearly visible up to 2 m at 50 bps.

KW - Ambient Backscattering

KW - Backscatter Communication

KW - Internet of Things

KW - RFID

KW - Sensors

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DO - 10.1109/MWSYM.2017.8058860

M3 - Conference contribution

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BT - 2017 IEEE MTT-S International Microwave Symposium (IMS)

PB - IEEE

ER -

Ambient FM backscattering for smart agricultural monitoring

Abstract

Keywords

ASJC Scopus subject areas

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