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In Situ Soil Moisture Sensors in Undisturbed Soils
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A Wireless Sensor Network Deployment for Soil Moisture Monitoring in Precision Agriculture.

Jaime Lloret1, Sandra Sendra1, Laura Garcia1

  • 1Instituto de Investigación Para la Gestión Integrada de Zonas Costeras (IGIC), Universitat Politècnica de València, Paraninf 1, 46730 Valencia, Spain.

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Summary

This study introduces a low-cost wireless sensor network for soil moisture monitoring, crucial for optimizing irrigation in precision agriculture. The system uses mutual induction sensors and a custom protocol, offering a reliable and affordable solution for farmers.

Keywords:
Internet of Things (IoT)electromagnetic inductionlow costprecision agriculturesoil moisturewater managementwireless sensor network

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Area of Science:

  • Agricultural Engineering
  • Environmental Science
  • Sensor Technology

Background:

  • Precision agriculture is vital for sustainable food production and resource management.
  • High costs of current technologies limit widespread adoption of precision agriculture.
  • There is a need for affordable, reliable soil moisture monitoring systems for farmers.

Purpose of the Study:

  • To develop and evaluate a low-cost wireless sensor network for soil moisture monitoring.
  • To enable optimization of irrigation processes in precision agriculture.
  • To address the economic barriers hindering precision agriculture adoption.

Main Methods:

  • Designed wireless sensor nodes with four soil moisture sensors utilizing mutual induction between coils.
  • Developed a specific communication protocol to enhance system performance.
  • Tested prototypes, identifying an optimal design with a 1:2 winding ratio (15 and 30 spires) operating at 93 kHz.
  • Evaluated network performance, including coverage and signal strength, in a citrus orchard.

Main Results:

  • The developed wireless sensor network effectively monitors soil moisture at various depths.
  • The optimized sensor prototype demonstrated reliable performance.
  • The custom communication protocol improved overall system efficiency.
  • Field tests in a citrus orchard confirmed network coverage and identified signal loss factors due to vegetation.

Conclusions:

  • The low-cost wireless sensor network presents a viable solution for precision agriculture irrigation management.
  • This technology can help farmers optimize water usage, reduce environmental impact, and improve crop yields.
  • The system's affordability and robustness make precision agriculture more accessible.