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Designing an Optimized RLC Network for Efficient Soil Moisture Data Logger System Using IoT

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Abstract

For effective measurement and collection of soil moisture information an electronic system has been designed and developed. Since soil water holding capacity varies depending on the soil structure so a sensor probe is designed with a sensing system for efficient detection of moisture in the soil. The capacitive sensor probe is designed to detect a change of capacitance response from 15 to 1200pF. According to this change of capacitance response, a series RLC network is designed to find out an optimum frequency for efficient sensing of moisture. The designed sensor probe is calibrated for three different types of soil (silt/sandy/clay) using Thermogravimetric (TG) Analysis. To process the sensing data, DataLogger (DL) algorithm has been developed and programmed in an ARM controller for monitoring and storing of data on server using IoT (Internet of Things). For the designed sensing circuit, an optimum frequency of 218 kHz is found out from the resonance curve. At this frequency, the response of electronic interfacing circuit is observed in terms of capacitance and voltage. Data obtained from linear analysis (R square: ~ 0.99, Pearson’s r: ~ 0.99) shows that the designed sensor system responds appreciably to the moisture change.

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Data presented in this current research work was taken from experimental analysis.

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SB and RK conceived the idea of developing embedded soil moisture datalogger system. RK developed the theory and support SB to do all the technical things. SB involved in designing electronic hardware and software, taking experimental results and field testing. Both the authors discussed the results and contributed to the final manuscript.

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Correspondence to Siddhanta Borah.

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Borah, S., Kumar, R. Designing an Optimized RLC Network for Efficient Soil Moisture Data Logger System Using IoT. Wireless Pers Commun 133, 605–624 (2023). https://doi.org/10.1007/s11277-023-10782-w

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