RESEARCH PAPER
Temperature dependence of dielectric soil moisture measurement in an Internet of Things system – a case study
1
Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-290 Lublin, Poland
2
Department of Electrical Engineering and Electrotechnologies, Lublin University of Technology, Nadbystrzycka 38A, 20-618 Lublin, Poland
3
Institute of Electronic Systems, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland
Final revision date: 2023-12-12
Acceptance date: 2023-12-18
Publication date: 2023-12-19
Corresponding author
Wojciech Skierucha
Metrology and Modeling of Agrophysical Properties, Institute of Agrophysics Polish Academy of Sciences, DOSWIADCZALNA 4, 20-290, LUBLIN, Poland
Metrology and Modeling of Agrophysical Properties, Institute of Agrophysics Polish Academy of Sciences, DOSWIADCZALNA 4, 20-290, LUBLIN, Poland
Int. Agrophys. 2023, 37(4): 443-449
HIGHLIGHTS
- An innovative TDR soil moisture monitoring system for a soil profile using Internet of Things technologies was presented.
- The determined temperature coefficient enables the implementation of an intelligent moisture correction algorithm on the IoT server.
- The possibility of developing predictive algorithms for a battery-powered measurement system to optimize its energy consumption was shown.
KEYWORDS
soil moisture monitoringdielectric permittivitytime domain reflectometrywireless communicationInternet of Things
TOPICS
ABSTRACT
Soil moisture is a key parameter in determining crop growth and yield. Modern agriculture does not only take into account soil moisture measurements obtained once at selected points in the field, but also focuses on moisture monitoring. Knowledge of the variability over time and analysis of the variation in readings caused by heavy rainfall or strong sunshine and high soil temperature changes is very important for future modelling, prediction and automated irrigation. The aim of this paper is to present a developed soil moisture monitoring system for a soil profile up to 34 cm depth incorporating Internet of Things technologies. The system was built based on an eight-channel time domain reflectometer to measure soil moisture based on dielectric properties. The developed system integrates both dielectric moisture measurement and innovative web-based server and visualisation services. The autonomous station was equipped with
a long-range wireless communication and a solar-charged battery. Analysis of the results enabled us to observe the subtle deviations of moisture content of the upper soil layer during diurnal cycles. The designed station can be used in the future to integrate a high accuracy automatic field irrigation system and acquire data for precision agriculture.
CONFLICT OF INTEREST
The authors declare no conflict of interest.
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| eISSN: | 2300-8725 |
| ISSN: | 0236-8722 |
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