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Un análisis económico de la aproximación estadística para el establecimiento de zonas de manejo en agricultura de precisión: caso de algodón en Texas

Author

Listed:
  • Velandia Margarita

    ()

  • Roderick M. Rejesus

    ()

  • Eduardo Segarra

    ()

  • Kevin Bronson

Abstract

Este artículo desarrolla un proceso para el establecimiento de zonas de manejo basado en una aproximación estadística espacial y evalúa su impacto económico para el caso de producción de algodón en Texas. Con el uso de un modelo de optimización que utiliza funciones de producción estimadas tomando en cuenta la autocorrelación espacial mediante métodos de econometría espacial, se encontró que al aplicar nitrógeno a una tasa variable, basada en las zonas de manejo delineadas, se obtienen rendimientos de algodón más altos comparados con los rendimientos obtenidos al aplicar una tasa uniforme de nitrógeno sobre toda la unidad productiva. Así mismo, se encontró que las aplicaciones de N a una tasa variable generan ingresos netos superiores comparados con los ingresos netos generados por la aplicación uniforme de N a la tasa agronómica sugerida, y retornos inferiores comparados con la aplicación uniforme derivada del óptimo económico. Adicionalmente, se encontró que niveles promedios de nitrógeno más bajos son requeridos con las aplicaciones de nitrógeno a una tasa variable para alcanzar rendimientos más altos comparados con la aplicación uniforme de nitrógeno.

Suggested Citation

  • Velandia Margarita & Roderick M. Rejesus & Eduardo Segarra & Kevin Bronson, 2004. "Un análisis económico de la aproximación estadística para el establecimiento de zonas de manejo en agricultura de precisión: caso de algodón en Texas," Revista Desarrollo y Sociedad, Universidad de los Andes - CEDE, September.
  • Handle: RePEc:col:000090:003857
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    File URL: http://economia.uniandes.edu.co/revistadys/Articulo54_7.pdf
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    References listed on IDEAS

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    1. Hurley, Terrance M. & Malzer, Gary L. & Kilian, Bernard, 2003. "Estimating Site-Specific Nitrogen Crop Response Functions: A Conceptual Framework And Geostatistical Model," 2003 Annual meeting, July 27-30, Montreal, Canada 21950, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Dillon, Carl R., 2002. "A Mathematical Programming Model For Optimal Management Zone Delineation In Precision Agriculture," 2002 Annual meeting, July 28-31, Long Beach, CA 19672, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. 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.
    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. Thrikawala, Sunil & Weersink, Alfons & Kachanoski, Gary, 1998. "Management unit size and efficiency gains from nitrogen fertilizer application," Agricultural Systems, Elsevier, vol. 56(4), pages 513-531, April.
    6. Bullock, David S. & Lowenberg-DeBoer, Jess & Swinton, Scott M., 2002. "Adding value to spatially managed inputs by understanding site-specific yield response," Agricultural Economics, Blackwell, vol. 27(3), pages 233-245, November.
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    More about this item

    Keywords

    Zonas de manejo; análisis espacial exploratorio de datos; manejo espacial específico de nitrógeno; agricultura de precisión con aplicaciones en algodón.;

    JEL classification:

    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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