Skip to main navigation Skip to search Skip to main content

Calibration and validation of an embedded AD5933 impedimetric sensor system for soil organic carbon measurement

  • Macquarie University

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents the development and validation of an embedded sensor system for the measurement of soil organic carbon (SOC) using the AD5933 impedance analyzer integrated with an Arduino microcontroller. The system includes a DS1077 programmable clock and custom shields for real-time field deployment. Calibration was performed using known resistors to derive gain and phase correction parameters essential for accurate resistance-based SOC estimation. Distinct predictive models were formulated for soils with low (≤4%) and high (≻4%) carbon concentration to improve precision across various soil types. In low-carbon soils, the system demonstrated strong predictive performance (R² = 0.97), while the overall model maintained high accuracy (R² = 0.92) across a 0–8% SOC range. Compared to a conventional lab-based impedance analyzer (HIOKI IM3536), the proposed system offers comparable accuracy, enhanced portability, and reduced cost. This work highlights the system’s potential for precision agriculture through scalable, real-time soil organic carbon monitoring.

Original languageEnglish
Number of pages10
JournalIEEE Sensors Journal
DOIs
Publication statusE-pub ahead of print (In Press) - 2025
Externally publishedYes

Keywords

  • AD5933
  • DS1077
  • Impedimetric sensor
  • IoT sensors
  • Precision Agriculture
  • Soil Organic Carbon (SOC)

Fingerprint

Dive into the research topics of 'Calibration and validation of an embedded AD5933 impedimetric sensor system for soil organic carbon measurement'. Together they form a unique fingerprint.

Cite this