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Field-Scale Experimental Designs and Spatial Econometric Methods for Precision Farming: Strip-Trial Designs for Rice Production Decision Making

  • Griffin, Terry W.
  • Florax, Raymond J.G.M.
  • Lowenberg-DeBoer, James

Site-specific data is spatially variable, precluding traditional econometric analysis. Some field-scale experimental designs present logistical, operational and mathematical problems in estimating treatment differences, specifically when adjacent observations are of different treatments such as with strip-trial designs. A modified spatial interaction structure is presented to analyze strip-trial designs with spatial econometrics.

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File URL: http://purl.umn.edu/35367
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Paper provided by Southern Agricultural Economics Association in its series 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida with number 35367.

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Date of creation: 2006
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Handle: RePEc:ags:saeaso:35367
Contact details of provider: Web page: http://www.saea.org/

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  1. Luc Anselin, 2001. "Spatial Effects in Econometric Practice in Environmental and Resource Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 705-710.
  2. 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 of Agricultural Economists, International Association of Agricultural Economists, vol. 27(3), November.
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