Treffer: IoT-based measuring and analytical tools for soil moisture monitoring ; Вимірювально-аналітичні засоби ІоТ-моніторингу вологості ґрунтів

Effective management of the soil water regime is one of the key challenges in modern agricultural production, especially under the conditions of precision and organic farming, which require accurate moisture control without disrupting ecological balance. Achieving this goal is possible through the use of high-precision measuring and analytical tools capable of operating autonomously in real field conditions. Within the framework of this study, a hardware-software monitoring system was developed, which includes a hydroelectric device for rapid soil quality assessment, pressure and conductivity sensors, and a microcontroller-based control unit supporting wireless data transmission. A local monitoring system architecture adapted for use in controlled modules of drainage and irrigation systems is proposed. This system enables continuous collection and transmission of data on soil moisture, electrical conductivity, and the composition of extracted moisture. Mathematical modeling of transient saturation and drainage processes was carried out using a linearized form of the Boussinesq equation. A methodology for calculating soil moisture content based on tensiometer readings was implemented, taking into account the physical and mechanical properties of soils with different textures. Computational models were developed in the Matlab environment to simulate typical transient processes in the soil profile, which can be used to optimize real-time moisture management algorithms. The developed measuring device is characterized by low response time, high measurement accuracy, and the ability to operate autonomously. Its design allows effective adaptation to various soil types and climatic conditions. An important advantage is the potential for integration into the scalable IoT-based information-analytical platform TankToad, which provides centralized monitoring, processing, and storage of telemetry data from a large number of connected devices. The results presented in this work confirm the feasibility of the proposed ...