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Automatic Section Control Technologies and GPS Auto-guidance Systems Adoption in Cotton Production

Author

Listed:
  • Brittani Edge
  • Margarita Velandia
  • Christopher Boyer
  • James Larson
  • Dayton Lambert
  • Roland Roberts
  • Bradley Wilson
  • Michael Buschermohle
  • Burton English
  • Roderick Rejesus
  • Larry Falconer

Abstract

Using data from a survey of cotton producers in 14 US states, and a bivariate probit regression, this study examined the effects of the following measured parameters on the adoption of Automatic Section Control (ASC) technologies and GPS Auto-Guidance (AG) systems- age, education, farm size, field geometry, information sources, as well as the use of specific production practices and other Precision Agriculture (PA) technologies. Results suggest that younger, more educated producers, consulting farm dealers for information about PA technologies, using other PA technologies, and managing larger farming operations located in counties with more irregularly shaped fields are more likely to adopt ASC technologies and AG systems. Predicted adoption probabilities estimated using regression results suggest the use of other PA technologies and farm dealers as a source of precision farming information have the largest impact on the probability of adopting ASC by cotton farmers. Additionally, these results suggest farmers with operations in eastern Arkansas, western Tennessee, and a couple of counties in middle Tennessee are more likely to adopt ASC technologies. Producers in these regions had the highest percentages of users of other PA technologies and farm dealers to obtain PA information.

Suggested Citation

  • Brittani Edge & Margarita Velandia & Christopher Boyer & James Larson & Dayton Lambert & Roland Roberts & Bradley Wilson & Michael Buschermohle & Burton English & Roderick Rejesus & Larry Falconer, 2018. "Automatic Section Control Technologies and GPS Auto-guidance Systems Adoption in Cotton Production," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 10(7), pages 282-282, June.
    • Handle: RePEc:ibn:jasjnl:v:10:y:2018:i:7:p:282
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    References listed on IDEAS

    as
    1. Walton, Jonathan C. & Lambert, Dayton M. & Roberts, Roland K. & Larson, James A. & English, Burton C. & Larkin, Sherry L. & Martin, Steven W. & Marra, Michele C. & Paxton, Kenneth W. & Reeves, Jeanne , 2008. "Adoption and Abandonment of Precision Soil Sampling in Cotton Production," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(3), pages 1-21.
    2. Lambert, Dayton M. & English, Burton & Harper, David & Larkin, Sherry L. & Laron, James & Mooney, Daniel F. & Roberts, Roland & Velandia, Margarita & Reeves, Jeanne, 2014. "Corrigendum to “Adoption and Frequency of Precision Soil Testing in Cotton Production”," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(2), pages 1-1.
    3. McBride, William D. & Daberkow, Stan G., 2003. "Information And The Adoption Of Precision Farming Technologies," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 21(01), pages 1-18.
    4. Michael R. Rahm & Wallace E. Huffman, 1984. "The Adoption of Reduced Tillage: The Role of Human Capital and Other Variables," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(4), pages 405-413.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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