Self-sensing antenna for soil moisture

Jun 20, 2023·
Maja Škiljo
,
Roko Radanović
Toni Perković
Toni Perković
,
Zoran Blažević
,
Petar Šolić
DOI

Abstract

This paper deals with the application of soil moisture estimation based on received signal strength using low-power LoRa-based soil moisture sensing device. The proposed antenna design is a type of inverted F antenna printed in a form of letters ’B’, ’C’ and ’N’ (as for beacon, BCN antenna) and tuned with a capacitor in the infinite loamy ground with varying properties. The electric field results show its distribution above the ground due to the moisture content variation, and the measurements results give the comparison between the proposed printed antenna and the helical LoRA antenna. It is shown that a difference of cca 13 dB between the dry and the highest moisture level (40 %) can be achieved in simulations, whereas in measurements, where the signal strength difference is measured from 10 % to 50 %, the difference is cca 6-7 dB. The results imply that this approach can be most effective in summer period, in which smart irrigation monitoring is crucial due to droughts, sudden downfalls and the necessity of water consumption management.

Type

Publication

International Conference on Smart and Sustainable Technologies (SpliTech), 1–4

Status

Peer-reviewed
publications
Toni Perković
Authors
Full Professor
I am a Full Professor in the Department of Electronics and Computing at the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), University of Split, Croatia, where I teach wireless network security, wireless communication networks, data science and reinforcement learning. My research spans information security, applied cryptography and the Internet of Things. Before returning to FESB in 2020, I was an assistant and then associate professor at the University Department of Forensic Sciences in Split. I co-founded the SpliTech international conference and serve on the editorial board of the Journal of Communications Software and Systems.