Skip to main content

Development of On-the-Go Proximal Soil Sensor Systems

  • Chapter
  • First Online:
Proximal Soil Sensing

Part of the book series: Progress in Soil Science ((PROSOIL))

Abstract

To implement sustainable agricultural and environmental management, a better understanding of the soil at increasingly finer scales is needed. Conventional soil sampling and laboratory analyses cannot provide this information because they are slow and expensive. Proximal soil sensing (PSS) can overcome these shortcomings. PSS refers to field-based techniques that can measure soil properties from 2 m or less above the soil surface. The sensors may be invasive, or not, and may or may not be mounted on vehicles for on-the-go operation. Much research is being conducted worldwide to develop sensors and techniques that may be used for proximal soil sensing. These are based on electrical and electromagnetic, optical and radiometric, mechanical, acoustic, pneumatic, and electrochemical measurement concepts. This chapter reviews the latest of these technologies and discuss their applications.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 279.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The names of commercial entities are for illustration only, and additional suitable products may be offered by other companies.

References

  • Adamchuk VI, Morgan MT, Ess DR (1999) An automated sampling system for measuring soil pH. Trans ASAE 42:885–891

    Article  Google Scholar 

  • Adamchuk VI, Hummel JW, Morgan MT, Upadhyaya SK (2004a) On-the-go soil sensors for precision agriculture. Comput Electron Agric 44:71–91

    Article  Google Scholar 

  • Adamchuk VI, Morgan MT, Lowenberg-DeBoer JM (2004b) A model for agro-economic analysis of soil pH mapping. Precis Agric 5:109–127

    Article  Google Scholar 

  • Adamchuk VI, Lund E, 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 48:272–294

    Article  Google Scholar 

  • Adamchuk VI, Viscarra Rossel RA, Marx DB, Samal AK (2008) Enhancement of on-the-go soils sensor data using guided sampling. In: Proceedings of the 9th international conference on precision agriculture, Denver, Colorado, 20–23 July (2008), ASA-CSSA-SSSA, Madison, Wisconsin, USA (CD, 13 pp)

    Google Scholar 

  • Adsett JF, Thottan JA, Sibley KJ (1999) Development of an automated on-the-go soil nitrate monitoring system. Appl Eng Agric 15:351–356

    Article  Google Scholar 

  • ASABE (2006) Soil cone penetrometer. S313.3 ASABE Standards, 53rd edn. ASABE, St. Joseph, Michigan

    Google Scholar 

  • Birrell SJ, Hummel JW (2001) Real-time multi-ISFET/FIA soil analysis system with automatic sample extraction. Comput Electron Agric 32:45–67

    Article  Google Scholar 

  • Christy CD (2008) Real-time measurement of soil attributes using on-the-go near infrared reflectance spectroscopy. Comput Electron Agric 61:10–19

    Article  Google Scholar 

  • Corwin DL, Lesch SM (2003) Application of soil electrical conductivity to precision agriculture: theory, principles, and guidelines. Agron J 95:455–471

    Article  Google Scholar 

  • Heiniger RW, McBride RG, Clay DE (2003) Using soil electrical conductivity to improve nutrient management. Agron J 95:508–519

    Article  CAS  Google Scholar 

  • Hemmat A, Adamchuk VI (2008) Sensor systems for measuring spatial variation in soil compaction. Comput Electron Agric 63:89–103

    Article  Google Scholar 

  • Hummel JW, Gaultney LD, Sudduth KA (1996) Soil property sensing for site-specific crop management. Comput Electron Agric 14:121–136

    Article  Google Scholar 

  • Loreto AB, Morgan MT (1996) Development of an automated system for field measurement of soil nitrate. Paper No. 96–1087. ASAE, St. Joseph, Michigan

    Google Scholar 

  • Mouazen AM, De Baerdemaeker J, Ramon H (2005) Towards development of on-line soil moisture content sensor using a fibre-type NIR spectrophotometer. Soil Till Res 80:171–183

    Article  Google Scholar 

  • 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 60:212–225

    Article  Google Scholar 

  • Shibusawa S, I Made Anom SW, Sasao A, Hirako S (2001) Soil mapping using the real-time soil spectrometer. In: Grenier G, Blackmore S (eds) Precision Agriculture ’01, Proceedings of the 3rd European conference on precision agriculture, BIOS, Oxford, UK, pp 497–508

    Google Scholar 

  • Shonk GA, Gaultney LD, Schulze DG, Van Scoyoc GE (1991) Spectroscopic sensing of soil organic matter content. Trans ASAE 34:1978–1984

    Article  Google Scholar 

  • Sudduth KA, Hummel JW (1993) Soil organic matter, CEC, and moisture sensing with a portable NIR spectrophotometer. Trans ASAE 36:1571–1582

    Article  Google Scholar 

  • Sudduth KA, Hummel JW, Birrell SJ (1997) Sensors for site-specific management. In: Pierce FT, Sadler EJ (eds) The state of site-specific management for agriculture. ASA-CSSA-SSSA, Madison, Wisconsin, pp 183–210

    Google Scholar 

  • Viscarra Rossel RA, McBratney AB (1997) Preliminary experiments towards the evaluation of a suitable soil sensor for continuous ‘on-the-go’ field pH measurements. In: Stafford J (ed) Precision Agriculture ’97, Proceedings of the 1st European conference on precision agriculture, BIOS, Oxford, UK, pp 493–501

    Google Scholar 

  • Viscarra Rossel RA, McBratney AB (1998) Soil chemical analytical accuracy and costs: implications from precision agriculture. Aus J Exp Agric 38:765–775

    Article  Google Scholar 

  • Viscarra Rossel RA, Gilbertsson M, Thylén L, Hansen O, McVey S, McBratney AB (2005) Field measurements of soil pH and lime requirement using an on-the-go soil pH and lime requirement measurement system. In: Stafford J (ed) Precision agriculture: papers from the 6th European conference on precision agriculture. Wageningen Academic Publishers, Wageningen, The Netherlands, pp 511–520

    Google Scholar 

  • Viscarra Rossel RA, Taylor HJ, McBratney AB (2007) Multivariate calibration of hyperspectral γ-ray energy spectra for proximal soil sensing. Eur J Soil Sci 58:343–353

    Article  Google Scholar 

  • Viscarra Rossel RA, Fouad Y, Walter C (2008) Using a digital camera to measure soil organic carbon and iron contents. Biosyst Eng 100:149–159

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V.I. Adamchuk .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Science+Business Media B.V.

About this chapter

Cite this chapter

Adamchuk, V., Rossel, R.V. (2010). Development of On-the-Go Proximal Soil Sensor Systems. In: Viscarra Rossel, R., McBratney, A., Minasny, B. (eds) Proximal Soil Sensing. Progress in Soil Science. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8859-8_2

Download citation

Publish with us

Policies and ethics