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Farmers' Perceptions about Spatial Yield Variability and Precision Farming Technology Adoption: An Empirical Study of Cotton Production in 12 Southeastern States


  • Kotsiri, Sofia
  • Rejesus, Roderick M.
  • Marra, Michele C.
  • Velandia, Margarita M.


This paper examines how cotton farmers' perceptions about their spatial yield variability influence their decision to adopt precision farming technologies. Utilizing cross-section survey data from 12 Southeastern states and a two-step econometric modeling approach, we find that farmers who perceive their yields as more spatially heterogeneous will more likely use site specific information gathering technologies and apply their inputs at a variable rate. In addition, our empirical analysis shows that perceptions about future profitability and importance of precision farming, along with socio-economic factors, also drive the technology adoption decision. These results have implications for producers contemplating the variable rate management decisions, as well as dealers selling these precision farming technologies.

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  • Kotsiri, Sofia & Rejesus, Roderick M. & Marra, Michele C. & Velandia, Margarita M., 2011. "Farmers' Perceptions about Spatial Yield Variability and Precision Farming Technology Adoption: An Empirical Study of Cotton Production in 12 Southeastern States," 2011 Annual Meeting, February 5-8, 2011, Corpus Christi, Texas 98689, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saea11:98689
    DOI: 10.22004/ag.econ.98689

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    1. Fernandez-Cornejo, Jorge & Daberkow, Stan G. & McBride, William D., 2001. "Decomposing The Size Effect On The Adoption Of Innovations: Agrobiotechnology And Precision Farming," 2001 Annual meeting, August 5-8, Chicago, IL 20527, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Ruth Vargas Hill, 2006. "Coffee Price Risk in the Market: Exporter, Trader and Producer Data from Uganda," Economics Series Working Papers GPRG-WPS-048, University of Oxford, Department of Economics.
    3. Amir K. Abadi Ghadim & David J. Pannell & Michael P. Burton, 2005. "Risk, uncertainty, and learning in adoption of a crop innovation," Agricultural Economics, International Association of Agricultural Economists, vol. 33(1), pages 1-9, July.
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    1. Michels, Marius & von Hobe, Cord-Friedrich & Mußhoff, Oliver, 2020. "Understanding the Adoption of Drones in German Agriculture," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305579, German Association of Agricultural Economists (GEWISOLA).

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    Agribusiness; Farm Management; Production Economics; Productivity Analysis;
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