Combined WiFi sensor for temperature and moisture of soil

Keywords: soil moisture sensor, capacitive sensor, soil moisture, arduino, PV panel


Physical parameters, such as temperature and moisture of soil, are important indicators in agriculture. The current study focuses on the development and assembly of an autonomous sensor for soil moisture and temperature through the use of a standard Arduino d1 mini module, equipped with a capacitive humidity sensor. The developed sensor configuration is distinguished with the possibility to transmit data via WiFi communication network and renewable energy system with photovoltaic power panel, which allows the results to be transmitted wirelessly and the sensor to operate autonomously powered by solar energy.


Alex Martinez and Alan P. Byrnes, (2002) "Modeling Dielectric-constant values of Geologic Materials: An Aid to Ground-Penetrating Radar Data Collection and Interpretation", Current Research in Earth Sciences, Bulletin 247, part 1.
Bankova A., Dimitrova T., (2016) Computer modeling and design of parts and assemblies, Eastern Academic Journal 12(4), 69-75. ISSN: 2367-7384

Bankova А., (2020) Application of a method for calculating the sizes of perspective objects, International Conference on Technics, Technologies and Education ICTTE 2020, Faculty of Technics and Technologies of Yambol, Trakia University of Stara Zagora, Bulgaria-November 4-6 2020. ISSN 1314-8788
Ivanov, I., Ivelin Ivanov, (2015). The Iterative solution to LQ Zero-Sum Stochastic Differential. Games, Journal of Applied Mathematics and Computing. Appl. Math. 6, 1263-1270 (2015). ISSN: 1598-5865
Ivanov, I., (2022). Improving the accuracy of the machine learning predictive models for analyzing. CHD dataset, Journal of Mathematical and Computational Science, J. Math. Comput. Sci., 12.  ISSN: 1927-5307
Fedro S. Zazueta and Jiannong Xin, (1994); Soil Moisture Sensors. University of Florida, Gainesville FL 32611, Bulletin 292.
Jensen, C.R., Mogensen, V.O., Poulsen, H.H., Henson, I.E., Aagot, S., Hansen, E., Ali, M., Wollenweber, B., (1998). Soil water matric potential rather than water content determines drought responses in field-grown lupin (Lupinus angustifolius). Aust. J. Plant Phys. 25, 353-363.
Heim, R.R.J., (2002). A review of twentieth-century drought indices used in the United States. Bull. Am. Meteorol. Soc. 83, 1149-1165.
Hrisko, J. (2020). Capacitive Soil Moisture Sensor Calibration with Arduino. Maker Portal.
Jim Bilskie, (2001) Soil water status: content and potential, Campbell Scientific, Inc. 1 815 W. 1800 N., Logan, UT 84321-1784 (435). 753-2342.

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How to Cite
Atanasov, A., Mihaylov, R., Stoyanov, S., & Mihaylova, D. (2022, December 31). Combined WiFi sensor for temperature and moisture of soil. ANNUAL JOURNAL OF TECHNICAL UNIVERSITY OF VARNA, BULGARIA, 6(2), 77-82.
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