Proximal Soil Nutrient Sensing Using Electrochemical Sensors

  • C.R. Lobsey
  • R.A. Viscarra Rossel
  • A.B. McBratney
Part of the Progress in Soil Science book series (PROSOIL)


Site-specific crop management requires the collection of high spatial resolution soil property data. Currently, electromagnetic (EM) induction or soil electrical resistance sensors, which measure soil electrical conductivity, are commonly used for this purpose. From the measurements, a number of related soil properties, e.g. clay content, are inferred. Although these techniques enable rapid, low-cost measurements that are able to capture within-field soil variability, they do not provide information on soil nutrient concentrations directly. This chapter reviews research conducted towards the development of proximal soil nutrient sensors using two forms of electrochemical sensors: ion-selective electrodes (ISEs) and ion-sensitive field effect transistors (ISFETs). It provides a brief introduction to electrochemical sensors and reviews their application for rapid low-cost soil analysis and proximal sensing. Over the last three decades, electrochemical sensors have been used in the laboratory to reduce the time, cost, and complexity of soil nutrient analysis. More recent studies suggest that ISEs and ISFETs have the potential to be used for rapid in situ soil analysis. However, the technologies have some limitations, particularly for on-the-go proximal soil sensing.


Proximal soil sensing Ion-selective electrode (ISE) Ion-sensitive field effect Transistor (ISFET) Nitrate Sodium Potassium Phosphorus pH 


  1. Adamchuk VI, Lund ED (2008) On-the-go mapping of soil pH using antimony electrodes. ASABE paper no. 083995, St. Joseph, MichiganGoogle Scholar
  2. Adamchuk VI, Lund ED, Dobermann A, Morgan MT (2003) On-the-go mapping of soil properties using ion-selective electrodes. In Stafford JV, Werner A (eds) Precision agriculture. Wageningen Academic, Wageningen, pp 27–33Google Scholar
  3. Adamchuk VI, Lund ED, Reed TM, Ferguson RB (2007) Evaluation of an on-the-go technology for soil pH mapping. Precis Agric 8:139–149CrossRefGoogle Scholar
  4. Adamchuk VI, Lund ED, Sethuramasamyraja B, Morgan MT, Dobermann A, Marx DB (2005) Direct measurement of soil chemical properties on-the-go using ion-selective electrodes. Comput Electron Agric 48:272–294CrossRefGoogle Scholar
  5. Adamchuk VI, Morgan MT, Brouder SM (2006) Development of an on-the-go soil pH mapping method: analysis of measurement variability. Appl Eng Agric 22:335–344CrossRefGoogle Scholar
  6. Adamchuk VI, Morgan MT, Ess DR (1999) An automated sampling system for measuring soil pH. Trans ASAE 42:885–891CrossRefGoogle Scholar
  7. Adsett JF, Thottan JA, Sibley KJ (1999) Development of an automated on-the-go soil nitrate monitoring system. Appl Eng Agric 15:351–356CrossRefGoogle Scholar
  8. Adsett JF, Zoerb GC (1991) Automated field monitoring of soil nitrate levels. In: Proceedings of the ASAE symposium on automated agriculture for the 21st century. Chicago, 16–17 December 1991. pp 326–335. American Society of Agricultural Engineers, St Joseph, MIGoogle Scholar
  9. Artigas J, Beltran A, Jimenez C, Baldi A, Mas R, Dominguez C, Alonso J (2001) Application of ion sensitive field effect transistor based sensors to soil analysis. Comput Electron Agric 31:281–293CrossRefGoogle Scholar
  10. Bergveld P (1972) Development, operation, and application of ion-sensitive field effect transistor as a tool for electrophysiology. IEEE Trans Biomed Eng BM 19:342CrossRefGoogle Scholar
  11. Bergveld P (2003) Thirty years of ISFETOLOGY – what happened in the past 30 years and what may happen in the next 30 years. Sens Actuat B-Chem 88:1–20CrossRefGoogle Scholar
  12. Birrell SJ, Hummel JW (1997) Multi-sensor ISFET system for soil analysis. In: Precision agriculture '97. Volume II. Technology, IT and management. Papers presented at the 1st European conference on precision agriculture, Warwick University, UK, 7–10 Sept 1997, pp 459–468. Bios Scientific Publishers LtdGoogle Scholar
  13. Birrell SJ, Hummel JW (2001) Real-time multi ISFET/FIA soil analysis system with automatic sample extraction. Comput Electron Agric 32:45–67CrossRefGoogle Scholar
  14. Bremner JM, Bundy LG, Agarwal AS (1968) Use of a selective ion electrode for determination of nitrate in soil. Anal Lett 1:837–844CrossRefGoogle Scholar
  15. Dahnke WC (1971) Use of the nitrate specific ion electrode in soil testing. Commun Soil Sci Plant Anal 2:73–84CrossRefGoogle Scholar
  16. Davenport JR, Jabro JD (2001) Assessment of hand held ion selective electrode technology for direct measurement of soil chemical properties. Commun Soil Sci Plant Anal 32:3077–3085CrossRefGoogle Scholar
  17. Domingue KJ, Price RR, Mailander MP (2005) Real time soil nitrate sensing. ASAE paper no. 051031, St. Joseph, MichiganGoogle Scholar
  18. Esashi M, Matsuo T (1978) Integrated micro multi ion sensor using field-effect of semiconductor. IEEE Trans Biomed Eng 25:184–192CrossRefGoogle Scholar
  19. Kim HJ, Hummel JW, Sudduth KA, Birrell SJ (2007a) Evaluation of phosphate ion-selective membranes and cobalt-based electrodes for soil nutrient sensing. In: Annual meeting of the American Society of Agricultural Engineers, ASAE, St Joseph, MI, pp 415–425Google Scholar
  20. Kim HJ, Hummel JW, Sudduth KA, Motavalli PP (2007b) Simultaneous analysis of soil macronutrients using ion-selective electrodes. Soil Sci Soc Am J 71:1867–1877CrossRefGoogle Scholar
  21. Loreto AB, Morgan MT (1996) Development of an automated system for field measurement of soil nitrate. ASAE paper no. 96-1087, St. Joseph, MichiganGoogle Scholar
  22. Lund ED, Colin PE, Christy D, Drummond PE (1999) Applying soil electrical conductivity technology to precision agriculture. In: Robert PC et al (eds) Precision agriculture. Proceedings. 4th International Conference, St. Paul, MN. 19–22 July 1998, ASA, CSSA, and SSA, Madison, WIGoogle Scholar
  23. Matsuo T, Wise KD (1974) Integrated field-effect electrode for biopotential recording. IEEE Trans Biomed Eng BM21:485–487CrossRefGoogle Scholar
  24. O’Flaherty BD, Barry EF, Cholli AL (2000) A rapid soil nutrient sensor device based on capillary zone electrophoresis. J Environ Sci Health A – Tox/Hazard Subst Environ Eng 35:189–201CrossRefGoogle Scholar
  25. Oien A and Selmer-Olsen AR (1969) Nitrate determination in soil extracts with the nitrate electrode. Analyst 94:888–894CrossRefGoogle Scholar
  26. Price RR, Hummel JW, Birrell SJ and Ahmad IS (2003) Rapid nitrate analysis of soil cores using ISFETs. Trans ASAE 46:601–610CrossRefGoogle Scholar
  27. Sethuramasamyraja B, Adamchuk VI, Dobermann A, Marx DB, Jones DD, Meyer GE (2008) Agitated soil measurement method for integrated on-the-go mapping of soil pH, potassium and nitrate contents. Comput Electron Agric 60:212–225CrossRefGoogle Scholar
  28. Sethuramasamyraja B, Adamchuk VI, Marx DB, Dobermann A, Meyer GE, Jones DD (2005) Analysis of an ion-selective electrode based methodology for integrated on-the-go mapping of soil pH, potassium, and nitrate contents. In: Annual meeting of the American Society of Agricultural and Biological Engineers, ASABE, Madison, WI, pp 1927–1935Google Scholar
  29. Sibley KJ, Astatkie T, Brewster G, Struik PC, Adsett JF, Pruski K (2009) Field-scale validation of an automated soil nitrate extraction and measurement system. Precis Agric 10:162–174CrossRefGoogle Scholar
  30. Sudduth KA, Drummond ST and Kitchen NR (2001) Accuracy issues in electromagnetic induction sensing of soil electrical conductivity for precision agriculture. Comput Electron Agric 31:239–264CrossRefGoogle Scholar
  31. Sudduth KA, Kitchen NR, Wiebold WJ, Batchelor WD, Bollero GA, Bullock DG, Clay DE, Palm HL, Pierce FJ, Schuler RT, Thelen KD (2005) Relating apparent electrical conductivity to soil properties across the north-central USA. Comput Electron Agric 46:263–283CrossRefGoogle Scholar
  32. Viscarra Rossel RA, McBratney AB (1997) Preliminary experiments towards the evaluation of a suitable soil sensor for continuous, ‘on-the-go’ field pH measurements. Precision agriculture '97. Volume II. Technology, IT and management. Papers presented at the 1st European conference on precision agriculture, Warwick University, UK, 7–10 Sept 1997, pp 493–501Google Scholar
  33. Viscarra Rossel RA, McBratney AB (2000) A two-factor empirical deterministic response surface calibration model for site-specific predictions of lime requirement. Precis Agric 2:163–178CrossRefGoogle Scholar
  34. Viscarra Rossel RA, McBratney AB (2003) Modelling the kinetics of buffer reactions for rapid field predictions of lime requirements. Geoderma 114:49–63CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • C.R. Lobsey
    • 1
  • R.A. Viscarra Rossel
    • 2
  • A.B. McBratney
    • 3
  1. 1.Australian Centre for Precision AgricultureThe University of SydneySydneyAustralia
  2. 2.CSIRO Land and WaterCanberraAustralia
  3. 3.Faculty Agriculture, Food & Natural ResourcesThe University of SydneySydneyAustralia

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