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Adoption and Nonadoption of Precision Farming Technologies by Cotton Farmers

Author

Listed:
  • Pandit, Mahesh
  • Paudel, Krishna P.
  • Mishra, Ashok K.
  • Segarra, Eduardo

Abstract

We analyzed data obtained from the 2009 Southern Cotton Precision Farming Survey of farmers in twelve states (Alabama, Arkansas, Florida, Georgia, Louisiana, Missouri, Mississippi, North Carolina, South Carolina, Tennessee, Texas, and Virginia) to identify reasons for adoption/nonadoption of precision farming technologies. Farmers provided cost, time constraint, satisfaction with the current practice and other as reasons for not adopting precision farming technology. Profit, environmental benefit and to be at the forefront of agricultural technology are main reasons for adopting precision farming technology. Results from a nested logit model indicated that formal education, farm size, and number of precision farming meeting attend by farmers have positive effect on adoption of PF technologies. Moreover, spatial yield variability increases probability of adopting precision farming technologies for profit reasons.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:aaea12:125004
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    1. “Ban” Banerjee, Swagata & Martin, Steven W. & Roberts, Roland K. & Larkin, Sherry L. & Larson, James A. & Paxton, Kenneth W. & English, Burton C. & Marra, Michele C. & Reeves, Jeanne M., 2008. "A Binary Logit Estimation of Factors Affecting Adoption of GPS Guidance Systems by Cotton Producers," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(01), pages 345-355, April.
    2. Mishra, Ashok K. & El-Osta, Hisham S. & Johnson, James D., 1999. "Factors Contributing To Earnings Success Of Cash Grain Farms," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 31(03), December.
    3. Paxton, Kenneth W. & Mishra, Ashok K. & Chintawar, Sachin & Roberts, Roland K. & Larson, James A. & English, Burton C. & Lambert, Dayton M. & Marra, Michele C. & Larkin, Sherry L. & Reeves, Jeanne M. , 2011. "Intensity of Precision Agriculture Technology Adoption by Cotton Producers," Agricultural and Resource Economics Review, Cambridge University Press, vol. 40(01), pages 133-144, April.
    4. Meredith J. Soule & Abebayehu Tegene & Keith D. Wiebe, 2000. "Land Tenure and the Adoption of Conservation Practices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 993-1005.
    5. 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.
    6. Roberts, Roland K. & English, Burton C. & Larson, James A. & Cochran, Rebecca L. & Goodman, W. Robert & Larkin, Sherry L. & Marra, Michele C. & Martin, Steven W. & Shurley, W. Donald & Reeves, Jeanne , 2004. "Adoption of Site-Specific Information and Variable-Rate Technologies in Cotton Precision Farming," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(01), April.
    7. Larkin, Sherry L. & Perruso, Larry & Marra, Michele C. & Roberts, Roland K. & English, Burton C. & Larson, James A. & Cochran, Rebecca L. & Martin, Steven W., 2005. "Factors Affecting Perceived Improvements in Environmental Quality from Precision Farming," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 37(03), December.
    8. Paudel, Krishna P. & Pandit, Mahesh & Mishra, Ashok K. & Segarra, Eduardo, 2011. "Why Don't Farmers Adopt Precision Farming Technologies in Cotton Production?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 104828, Agricultural and Applied Economics Association.
    9. Jess Lowenberg-DeBoer, 1996. "Precision Farming and the New Information Technology: Implications for Farm Management, Policy, and Research: Discussion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(5), pages 1281-1284.
    10. Pandit, Mahesh & Mishra, Ashok K. & Paudel, Krishna P. & Larkin, Sherry L. & Rejesus, Roderick M. & Lambert, Dayton M. & English, Burton C. & Larson, James A. & Velandia, Margarita M. & Roberts, Rolan, 2011. "Reasons for Adopting Precision Farming: A Case Study of U.S. Cotton Farmers," 2011 Annual Meeting, February 5-8, 2011, Corpus Christi, Texas 98575, Southern Agricultural Economics Association.
    11. Florian Heiss, 2002. "Structural choice analysis with nested logit models," Stata Journal, StataCorp LP, vol. 2(3), pages 227-252, August.
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    Cited by:

    1. Pokhrel, Bijay & Krishna, Paudel & Eduardo, Segarra, 2016. "Factors Affecting the Choice, Intensity, and Allocation of Irrigation Technologies by U.S. Cotton Farmers," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230199, Southern Agricultural Economics Association.

    More about this item

    Keywords

    adoption and nonadoption of technology; cotton; nested logit; precision farming; Crop Production/Industries; Farm Management; Research and Development/Tech Change/Emerging Technologies; C25; Q19;

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • Q19 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Other

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