Ambient FM backscattering for smart agricultural monitoring
2017 IEEE MTT-S International Microwave Symposium (IMS), 2017•ieeexplore.ieee.org
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 …
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 …
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.
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