Skip to main content

Advertisement

Log in

Widescale testing of the Crop-meter for site-specific farming

  • Published:
Precision Agriculture Aims and scope Submit manuscript

Abstract

A sensor for measuring crop biomass density has been designed and developed to meet the demands for practical use in site-specific farming. The mechanical sensor named ‘Crop-meter’ is based on the pendulum principle. The suitability and measuring stability of the Crop-meter has been confirmed under field conditions in different regions of Germany. Significant correlations were obtained between Crop-meter signals and soil electrical conductivity (R 2=0.16−0.66) and grain yield (R 2=0.42−0.57). To test the suitability of the Crop-meter for site-specific management, it was used to control variable application rates for nitrogen fertiliser, growth regulators and fungicides in real time. A small increase in yield (3.1%) as well as reduced application rates for agrochemicals (14.6% nitrogen fertilisers; 23.1% fungicides and growth regulators) were proved in large-scale trials.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Auernhammer, H., Demmel, M., Muhr, T., Rottmeier, J., & Wild, K. (1994). Rechner gestützte Ertragsermittlung für eine umweltschonende Düngung (Computer-supported estimating of yields for environment-friendly fertilisation). Landtechnik Weihenstephan, Landtechnik-Schrift, 4, 111–134.

    Google Scholar 

  • Dammer, K.-H., Böttger, H., & Ehlert, D. (2003). Sensor-controlled variable rate real-time application of herbicides and fungicides. In: J. Stafford, & A. Werner (Eds.), Precision agriculture ‘03: Proceedings of the 4th European conference on precision agriculture (pp. 129–134). NL: Wageningen Academic Publishers.

    Google Scholar 

  • Ehlert, D., Hammen, V., & Adamek, R. (2003). On-line sensor pendulum-meter for determination of plant mass. Precision Agriculture, 4(2), 139–148.

    Article  Google Scholar 

  • Ehlert, D., Schmerler, J., & Voelker, U. (2004). Variable nitrogen fertilisation of winter wheat based on a Crop density sensor. Precision Agriculture, 5(3), 263–273.

    Article  Google Scholar 

  • Gonzalez, M. A., Hussey, M. A., & Conrad, B. E. (1990). Plant height, disc and capacitance meters used to estimate Bermudagrass herbage mass. Agronomy Journal, 82, 861–864.

    Article  Google Scholar 

  • Hansen, P. M., & Jorgensen, R. N. (2001). The Riso Cropassessor – An idea to a low cost, robust, simple, and modular measuring device based on existing technology for monitoring the spatial field crop variation. In: G. Grenier, & S. Blackmore (Eds.), Proceedings of the 3rd European conference on precision agriculture (pp. 37–42). Montpellier, France: AGRO.

    Google Scholar 

  • Jaynes, D. B., Colvin, T. S., & Ambuel, J. (1995). Yield mapping by electromagnetic induction. In: P. C. Robert, & R. H. Rust (Eds.), Site specific management for agricultural systems. Proceedings of the 2nd international conference (pp. 383–394). Madison, WI, USA: ASA-CSSA-SSSA.

    Google Scholar 

  • Lokhorst, C., & Kasper, G. J. (1998). Site specific grassland management: Measuring techniques, spatial and temporal variation in grass yields. In: Proceedings of the Conference Agricultural Engineering (pp. 209–214). VDI-Verlag GmbH, Düsseldorf, Germany.

  • McNeill, J. D. (1980). Electrical conductivity of soils and rocks (Geonics LTD., Mississauga, Ontario, Canada, Technical Note TN-5).

  • Missotten, B., Strubbe, G., & DeBaerdemaeker, J. (1997). Straw yield mapping: A tool for interpretation of grain yield differences within a field. In: J. V. Stafford (Eds.), Precision agriculture ‘97: Proceedings of the 1st european conference on precision agriculture (pp. 735–742). Oxford, UK: BIOS Scientific Publishers.

    Google Scholar 

  • Pearson, D. B., Tucker, C. J., & Miller, L. D. (1976). Spectral mapping of shortgrass prairie biomass. Photogrammetric Engineering and Remote Sensing, 3, 317–323.

    Google Scholar 

  • Sachs, L. (1999). Angewandte Statistik: Anwendung statistischer Methoden (Applied statistics: The use of statistical methods) Springer-Verlag Berlin Heidelberg, ISBN 3-540-65371-6.

  • Tucker, C. J., Holben, B. N., Elgin, J. H., & McMurtrey, J. E. (1981). III: Remote sensing of total dry matter accumulation in winter wheat. Remote Sensing of Environment, 11, 171–189.

    Article  Google Scholar 

Download references

Acknowledgements

This project was funded by the Federal Ministry BMBF, Germany. Particular thanks for the work in preparing, implementing and evaluating the tests for Crop-meter goes to the staff Dipl-Ing. R. Adamek and Dr. U. Voelker.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D. Ehlert.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ehlert, D., Dammer, KH. Widescale testing of the Crop-meter for site-specific farming. Precision Agric 7, 101–115 (2006). https://doi.org/10.1007/s11119-006-9003-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11119-006-9003-z

Keywords

Navigation