IDEAS home Printed from https://ideas.repec.org/p/ags/ifma15/345762.html
   My bibliography  Save this paper

Pr - A Decision Support Model For The Adoption Of Precision Agriculture Practices

Author

Listed:
  • Maré, H.P.
  • Maré, F.A.

Abstract

The main objective of the study is to investigate the impact of Precision Agriculture practices on the margin and risk of a farming enterprise and the combination of enterprises as a whole- farm business in comparison to Conventional Farming. The procedures that were used to achieve the objective firstly included the scanning of the fields with the Gamma-ray spectrometer for identification of different management zone according to the variation in the physical soil properties and secondly the development of a decision support model namely the SPARÉ Model to investigate the impact of precision agriculture practices on the margin and risk of a farming enterprise and the combination of enterprises as a whole-farm business. The results of the study indicated that precision agriculture can be used strategically to reduce cost and increase productivity, thus increasing profitability.

Suggested Citation

  • Maré, H.P. & Maré, F.A., 2015. "Pr - A Decision Support Model For The Adoption Of Precision Agriculture Practices," 20th Congress, Quebec, Canada, 2015 345762, International Farm Management Association.
    • Handle: RePEc:ags:ifma15:345762
    DOI: 10.22004/ag.econ.345762
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/345762/files/15_Mar%C3%A9HMar%C3%A9F_P268-280.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.345762?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jones, D. & Barnes, E. M., 2000. "Fuzzy composite programming to combine remote sensing and crop models for decision support in precision crop management," Agricultural Systems, Elsevier, vol. 65(3), pages 137-158, September.
    2. Almas, Lal K. & Amosson, Stephen H. & Marek, Thomas H. & Colette, W. Arden, 2003. "Economic Feasibility Of Precision Irrigation In The Northern Texas High Plains," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35249, Southern Agricultural Economics Association.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yotsaphat Kittichotsatsawat & Varattaya Jangkrajarng & Korrakot Yaibuathet Tippayawong, 2021. "Enhancing Coffee Supply Chain towards Sustainable Growth with Big Data and Modern Agricultural Technologies," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    2. Palaniappan, Gomathy & King, Christine A. & Cameron, Don, 2009. "CS - Complexity Of Transition To Alternative Farming Systems," 17th Congress, Illinois State University, USA, July 19-24, 2009 345531, International Farm Management Association.
    3. Seo, Sangtaek & Segarra, Eduardo & Mitchell, Paul D. & Leatham, David J., 2006. "Irrigation Technology Adoption in the Texas High Plains: A Real Options Approach," 2006 Annual meeting, July 23-26, Long Beach, CA 21427, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. You, Yang & Wang, Yakun & Fan, Xiaodong & Dai, Qin & Yang, Guang & Wang, Wene & Chen, Dianyu & Hu, Xiaotao, 2024. "Progress in joint application of crop models and hydrological models," Agricultural Water Management, Elsevier, vol. 295(C).
    5. Maré, HP & Maré, Frikkie, 2015. "A decision support model for the adoption of precision agriculture practices," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 5(1-2), October.
    6. Sangtaek Seo & Eduardo Segarra & Paul D. Mitchell & David J. Leatham, 2008. "Irrigation technology adoption and its implication for water conservation in the Texas High Plains: a real options approach," Agricultural Economics, International Association of Agricultural Economists, vol. 38(1), pages 47-55, January.
    7. Mardani Najafabadi, Mostafa & Ziaee, Saman & Nikouei, Alireza & Ahmadpour Borazjani, Mahmoud, 2019. "Mathematical programming model (MMP) for optimization of regional cropping patterns decisions: A case study," Agricultural Systems, Elsevier, vol. 173(C), pages 218-232.

    More about this item

    Keywords

    Farm Management;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ifma15:345762. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ifmaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.