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 proceedingConference contribution

37 Citations (Scopus)


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 languageEnglish
Title of host publication2017 IEEE MTT-S International Microwave Symposium (IMS)
Number of pages3
ISBN (Electronic)9781509063604
Publication statusPublished - 5 Oct 2017


  • Ambient Backscattering
  • Backscatter Communication
  • Internet of Things
  • RFID
  • Sensors

ASJC Scopus subject areas

  • Radiation
  • Condensed Matter Physics
  • Electrical and Electronic Engineering


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