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Best fit model selection for spatial differences (regression) in the profitability analysis of precision phosphate (P) application to winter cereals in Precision Agriculture (PA)

Author

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  • Hough, Ella Christina
  • Nell, Wilhelm T.
  • Maine, Ntsikane
  • Groenewald, Jan A.
  • van der Rijst, M.

Abstract

Phosphates (P) are an important nutrient required by every living plant and animal cell, and deficiencies in soils could cause limited crop production, thereby reducing profitability. Phosphates are also a primary nutrient essential for root development and crop production, and are needed in the tissues of a plant where cells rapidly divide and enlarge. Precision agriculture (PA) could assist the farmer in applying the correct amount of P to the part of the field where it is required most. Variable rate technology (VRT) is a potential tool that can help with the development of strategies for phosphate fertilizer management. On-field trials were conducted on a commercial farm in the Western Cape Province; As many as five soil types occur on each field studied, and three crops – wheat, canola and barley - are grown in rotation. One half of each field was planted using VRT (PA), while constant application (SR) was used on the other half. The objective was to determine whether spatial econometric models are more accurate than traditional ordinary least squares (OLS) models in predicting the profitability impact of P on PA. There are significant differences to be observed between the results obtained with the OLS, Spatial Error (SER) and restricted maximum-likelihood (REML) models. All the measures of goodness of fit indicated an increase in fit from the OLS to the SER model, with the best fit being achieved with the REML model, implying that the use of this model resulted in more accurate estimates.

Suggested Citation

  • Hough, Ella Christina & Nell, Wilhelm T. & Maine, Ntsikane & Groenewald, Jan A. & van der Rijst, M., 2010. "Best fit model selection for spatial differences (regression) in the profitability analysis of precision phosphate (P) application to winter cereals in Precision Agriculture (PA)," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 96642, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae10:96642
    DOI: 10.22004/ag.econ.96642
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    References listed on IDEAS

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    1. Griffin, Terry W. & Lowenberg-DeBoer, James, 2008. "Spatial Analysis of Precision Agriculture Data: Role for Extension," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6804, Southern Agricultural Economics Association.
    2. Luc Anselin & Rodolfo Bongiovanni & Jess Lowenberg-DeBoer, 2004. "A Spatial Econometric Approach to the Economics of Site-Specific Nitrogen Management in Corn Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(3), pages 675-687.
    3. David S. Bullock & James Lowenberg‐DeBoer, 2007. "Using Spatial Analysis to Study the Values of Variable Rate Technology and Information," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 517-535, September.
    4. Lambert, Dayton M. & Lowenberg-DeBoer, James & Bongiovanni, Rodolfo, 2003. "Spatial Regression Models For Yield Monitor Data: A Case Study From Argentina," 2003 Annual meeting, July 27-30, Montreal, Canada 22022, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Madhu Khanna & Onesime Faustin Epouhe & Robert Hornbaker, 1999. "Site-Specific Crop Management: Adoption Patterns and Incentives," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 21(2), pages 455-472.
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