Field-Scale Experimental Designs and Spatial Econometric Methods for Precision Farming: Strip-Trial Designs for Rice Production Decision Making
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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- 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,"
Blackwell, vol. 27(3), pages 425-443, November.
- 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.
- 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.
- 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). Full references (including those not matched with items on IDEAS)
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