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Identification of Soil Water Potential Sensors Readings in an Irrigation Control System Using Internet-of-Things (IoT): Automatic Tensiometer and Watermark 200SS

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Advances in Computer Science for Engineering and Education VI (ICCSEEA 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 181))

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Abstract

The analysis of world practice showed that various authors identified the relationship between soil water potential, Watermark 200SS gypsum block resistance and soil temperature P = P(R, T) for light soils. However, as our research shows, such dependencies cannot be applied to other types of soils. The method of identifying the parameters of the presented nonlinear model is also not given in the works of other authors. In the development of the Internet of Things (IoT), a method for identifying the dependences of soil water potential on the resistance of the Watermark 200SS gypsum block and soil temperature has been developed. In a laboratory experiment, the soil water potential (using a tensiometer) and the resistance value of a Watermark 200SS gypsum block are measured in parallel at certain temperatures using monoliths of an undisturbed structure of heavy loamy chernozem soil. Non-linear dependence is reduced to a linear relationship. The parameters of the linear model, which are used to identify the nonlinear model, are found by the method of least squares. Based on the non-linear dependence, the values of soil water potential are calculated based on Watermark 200SS indicators and soil temperature. Based on the soil water potential, watering timings are determined in irrigation control systems using the Internet of Things sensor system.

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Authors and Affiliations

  1. Institute of Water Problems and Land Reclamation NAAS, Kyiv, 03022, Ukraine

    Volodymyr Kovalchuk, Oleksandr Voitovich & Pavlo Kovalchuk

  2. National University of Water and Environmental Engineering, Rivne, 33028, Ukraine

    Olena Demchuk

Authors
  1. Volodymyr Kovalchuk
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  2. Oleksandr Voitovich
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  3. Pavlo Kovalchuk
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  4. Olena Demchuk
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Corresponding author

Correspondence to Volodymyr Kovalchuk .

Editor information

Editors and Affiliations

  1. Faculty of Applied Mathematics, National Technical University of Ukraine “Igor Sikorsky Kiev Polytechnic Institute”, Ukraine, Kyiv, Ukraine

    Zhengbing Hu

  2. Faculty of Applied Mathematics, National Technical University of Ukraine “Igor Sikorsky Kiev Polytechnic Institute”, Ukraine, Kyiv, Ukraine

    Ivan Dychka

  3. Halmos College of Arts and Sciences, Nova Southeastern University, Fort Lauderdale, FL, USA

    Matthew He

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Kovalchuk, V., Voitovich, O., Kovalchuk, P., Demchuk, O. (2023). Identification of Soil Water Potential Sensors Readings in an Irrigation Control System Using Internet-of-Things (IoT): Automatic Tensiometer and Watermark 200SS. In: Hu, Z., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education VI. ICCSEEA 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-031-36118-0_54

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