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Adoption of Variability Detection and Variable Rate Application Technologies by Cotton Farmers in Southern United States

Author

Listed:
  • Nair, Shyam
  • Wang, Chenggang
  • Segarra, Eduardo
  • Belasco, Eric J.
  • Velandia, Margarita M.
  • Reeves, Jeanne M.

Abstract

A nested logit model was used to analyze the 2009 Southern Cotton Precision Farming Survey to study the impact of farmer and farm characteristics on the adoption of Variability Detection Technologies (VDT) and the adoption of Variability Rate application Technology (VRT) conditioned on the type of the VDT chosen. The results showed that the farm size and exposure to extension activities are important factors affecting the choice of VDTs. The farmers adopting both soil and plant based VDTs are more likely to adopt VRT. The probability of adoption of VRTs was lower for Texas cotton farmers irrespective of the type of VDT adopted. In general, younger, more educated farmers who use computers for farming operations are more likely to adopt VRT when they choose soil based or both soil and plant based VDT.

Suggested Citation

  • Nair, Shyam & Wang, Chenggang & Segarra, Eduardo & Belasco, Eric J. & Velandia, Margarita M. & Reeves, Jeanne M., 2011. "Adoption of Variability Detection and Variable Rate Application Technologies by Cotton Farmers in Southern United States," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103567, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea11:103567
    DOI: 10.22004/ag.econ.103567
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    File URL: https://ageconsearch.umn.edu/record/103567/files/Tech_adoption_paper_2.pdf
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    Cited by:

    1. Pandit, Mahesh & Paudel, Krishna P. & Mishra, Ashok K. & Segarra, Eduardo, 2012. "Adoption and Nonadoption of Precision Farming Technologies by Cotton Farmers," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125004, Agricultural and Applied Economics Association.

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    Keywords

    Crop Production/Industries; Farm Management; Research and Development/Tech Change/Emerging Technologies;
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