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Implications Of Remote Sensing Imagery And Crop Rotation For Nitrogen Management In Sugar Beet Production


  • Ali, Mir B.
  • McBride, William D.
  • Daberkow, Stan G.


Adoption of new technologies, such as remote sensing, is slowed by such factors as high monetary and/or human capital costs and uncertainty about their value. This analysis explores the impact on nitrogen fertilizer use and efficiency and net returns among sugar beet producers in the Red River Valley from using remote sensing technologies and crop rotation for nitrogen management. The study found that cropping patterns had a significant impact on nitrogen use and net returns, but that most decision tools used for nitrogen management had little influence. The impact of using remotely sensed images for nitrogen management in sugar beets was not statistically significant.

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  • Ali, Mir B. & McBride, William D. & Daberkow, Stan G., 2003. "Implications Of Remote Sensing Imagery And Crop Rotation For Nitrogen Management In Sugar Beet Production," 2003 Annual meeting, July 27-30, Montreal, Canada 22052, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea03:22052

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    1. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    2. McBride, William D. & Daberkow, Stan G., 2003. "Information And The Adoption Of Precision Farming Technologies," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 0(Number 1), pages 1-18.
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    Cited by:

    1. Larson, James A. & Roberts, Roland K. & English, Burton C. & Larkin, Sherry L. & Marra, Michele C. & Martin, Steven W. & Paxton, Kenneth W. & Reeves, Jeanne M., 2007. "Factors Influencing Adoption of Remotely Sensed Imagery for Site-Specific Management in Cotton Production," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34971, Southern Agricultural Economics Association.

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