Field-Scale Experimental Designs and Spatial Econometric Methods for Precision Farming: Strip-Trial Designs for Rice Production Decision Making
AbstractSite-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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Bibliographic InfoPaper provided by Southern Agricultural Economics Association in its series 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida with number 35367.
Date of creation: 2006
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- 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.
- 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.
- 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.
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