Skip to main content

Advertisement

Log in

A variable-rate decision support tool

  • Published:
Precision Agriculture Aims and scope Submit manuscript

Abstract

Profitable precision or variable application of inputs depends on many factors; however, the inherent variability in a soil and or crop property and the relative responsiveness of yield to fertilizer inputs at different soil concentration levels are the most important factors in influencing economic gain. Generally, the greater is the spatial variation in the property influencing the input rate, the greater is the potential economic return from precision application compared to uniform application of an input. Based on a quantitative assessment of the spatial variation in soil properties that influence rates of input, a variable-rate decision support tool (VRDST) was developed to: (1) assess the potential profitability of variable-rate compared to uniform application and (2) identify the economic optimal uniform application rate if this is selected. The VRDST was evaluated using spatially distributed soil data from selected fields in North Carolina. Net return from variable-rate application and the economically optimal uniform rates are illustrated. Varying fertilizer cost, crop price and sampling costs greatly influenced net return from variable-rate application.

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
Fig. 9

Similar content being viewed by others

References

  • Attanandana, T. (2007). Empowering farmer leaders to acquire and practice site-specific nutrient management technology. Jounal of Sustainable Agriculture, 30, 87–104. doi:10.1300/J064v30n01_08.

    Article  Google Scholar 

  • Comis, D. (1999). Model takes the guesswork out of fertilizing. Agricultural Research, 47, 15.

    Google Scholar 

  • Dahnke, W. C., & Olson, R. A. (1990). Soil test correlation, calibration, and recommendations. In R. L. Westerman (Ed.), Soil testing and plant analysis (3rd ed., pp. 45–72). Madison, WI: Soil Science Society of America.

    Google Scholar 

  • Hardy, D. H., Tucker, M. R., Stokes, C. E. (2003). Crop fertilization based on North Carolina soil tests. NCDA & CS Agronomic Division. Retrieved March 14, 2009, from http://www.ncagr.com/agronomi/obook.htm

  • Havlin, J. L., Beaton, J. D., Tisdale, S. L., & Nelson, W. L. (2005). Soil fertility and fertilizers: An introduction to nutrient management (7th ed.). Upper Saddle River, NJ: Prentice Hall.

    Google Scholar 

  • Hergert, G. W., Pan, W. L., Huggins, D. R., Grove, J. H., & Peck, T. R. (1997). Adequacy of current fertilizer recommendations for site-specific management. In F. J. Pierce & E. J. Sadler (Eds.), The state of site-specific management for agriculture (pp. 283–300). Madison, WI: American Society of Agronomy-Crop Science Society of America-Soil Science Society of America (ASA-CSSA-SSSA).

    Google Scholar 

  • Hoffman, M. L. (1991). Weed population and crop yield response to populations from a weed control decision aid. Agronomy Journal, 91, 386–392.

    Google Scholar 

  • Larson, J. A. (2005). A computer decision aid for the cotton yield monitor investment decision. Computational Electronics Agriculture, 48, 216–234. doi:10.1016/j.compag.2005.04.001.

    Article  Google Scholar 

  • Lowenberg-DeBoer, J., & Swinton, S. M. (1997). Economics of site-specific management in agronomic crops. In F. J. Pierce & E. J. Sadler (Eds.), The state of site-specific management for agriculture (pp. 369–396). Madison, WI: ASA-CSSA-SSSA.

    Google Scholar 

  • Parkin, T. B., Meisinger, J. J., Chester, S. T., Starr, J. L., & Robinson, J. A. (1988). Evaluation of statistical estimation methods for log normally distributed variables. Soil Science Society of America Journal, 52, 323–329.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to J. L. Havlin.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Havlin, J.L., Heiniger, R.W. A variable-rate decision support tool. Precision Agric 10, 356–369 (2009). https://doi.org/10.1007/s11119-009-9121-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11119-009-9121-5

Keywords

Navigation