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Spatial dimensions of precision agriculture: a spatial econometric analysis of millet yield on Sahelian coversands


  • Florax, Raymond J. G. M.
  • Voortman, Roelf L.
  • Brouwer, Joost


The identification of local soil variability caused by within-field differences of macronutrients and ecological features is of paramount importance for the effectiveness of precision agriculture. We present several spatial statistical and econometric techniques to capture local differences in soil variation, ecological characteristics, and yield more effectively than the analytical techniques traditionally used in agronomy. The application of these techniques is illustrated in a case study dealing with precision agriculture in the West African Sahel. The production of millet on acid sandy soils constitutes a typical example of low soil fertility areas exhibiting small absolute but large relative differences in crop production conditions over short distances. © 2002 Elsevier Science B.V. All rights reserved.
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Suggested Citation

  • Florax, Raymond J. G. M. & Voortman, Roelf L. & Brouwer, Joost, 2002. "Spatial dimensions of precision agriculture: a spatial econometric analysis of millet yield on Sahelian coversands," Agricultural Economics, Blackwell, vol. 27(3), pages 425-443, November.
  • Handle: RePEc:eee:agecon:v:27:y:2002:i:3:p:425-443

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    References listed on IDEAS

    1. Florax, Raymond J. G. M. & Folmer, Hendrik & Rey, Sergio J., 2003. "Specification searches in spatial econometrics: the relevance of Hendry's methodology," Regional Science and Urban Economics, Elsevier, vol. 33(5), pages 557-579, September.
    2. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    3. Thomas de Graaff & Raymond J.C.M. Florax & Peter Nijkamp & Aura Reggiani, 2001. "A General Misspecification Test for Spatial Regression Models: Dependence, Heterogeneity, and Nonlinearity," Journal of Regional Science, Wiley Blackwell, vol. 41(2), pages 255-276.
    4. Bongiovanni, Rodolfo & Lowenberg-DeBoer, James, 2001. "Precision Agriculture: Economics Of Nitrogen Management In Corn Using Site-Specific Crop Response Estimates From A Spatial Regression Model," 2001 Annual meeting, August 5-8, Chicago, IL 20650, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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    Cited by:

    1. Suárez Cano, Patricia & Mayor Fernández, Matías & Cueto Iglesias, Begoña, 2011. "How important is access to employment offices in Spain? An urban and non-urban perspective," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 21, pages 119-140.
    2. Tirtha Chatterjee, 2017. "Spatial Convergence and Growth in Indian Agriculture: 1967–2010," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(1), pages 121-149, March.
    3. Griffin, Terry W. & Florax, Raymond J.G.M. & Lowenberg-DeBoer, James, 2006. "Field-Scale Experimental Designs and Spatial Econometric Methods for Precision Farming: Strip-Trial Designs for Rice Production Decision Making," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35367, Southern Agricultural Economics Association.
    4. Liu, Zheng & Griffin, Terry W. & Kirkpatrick, Terrence L. & Monfort, Walter Scott, 2015. "Is Site-Specific Nematode Management Profitable: Evidence from Spatial Econometric Analysis," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196831, Southern Agricultural Economics Association.
    5. repec:gam:jagris:v:7:y:2017:i:7:p:60-:d:105310 is not listed on IDEAS
    6. Nelson, Gerald C., 2002. "Introduction to the special issue on spatial analysis for agricultural economists," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 27(3), November.
    7. Ancev, Tihomir & Odeh, Inakwu O.A., 2005. "Use of Spatially Referenced Data in Agricultural Economics Research," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137743, Australian Agricultural and Resource Economics Society.
    8. Liv Osland & Inge Thorsen & Jens Petter Gitlesen, 2007. "Housing Price Gradients in a Region with One Dominating Center," Journal of Real Estate Research, American Real Estate Society, vol. 29(3), pages 321-346.

    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis


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