Advanced Search
MyIDEAS: Login to save this article or follow this journal

The intuitive world of farmers – The case of grazing management systems and experts

Contents:

Author Info

  • Nuthall, Peter L.
Registered author(s):

    Abstract

    Successful grazing management is critical for stock farmers using pasture as the main source of food. Yet many farmers fall a long way short of the output of animal products possible given the pasture production achieved. Farmers have available a number of formal tools to help manage grazing systems, yet few make use of them. Another approach is to develop ‘expert systems’ encapsulating the skills of the most efficient farmers. This idea is explored based on the information obtained from three successful farmers who were interviewed on a regular basis over several years. The conclusion was that the rules and systems used by one farmer are not likely to apply to another due to their uniqueness. In effect the farmers build up their own personalised intuitive expert system. Thus, a more practical approach is to better train this intuitive skill. A discussion on what constitutes an expert is provided as this leads onto isolating the skills that need improving, and then onto exploring intuition and how it embodies the expert skills. A conclusion on how a farmer’s intuition might be improved is offered. Intuition is used by all farmers so the discussion has implications for all farming types. Finally, comments on research into intuition are offered.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X11001776
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Bibliographic Info

    Article provided by Elsevier in its journal Agricultural Systems.

    Volume (Year): 107 (2012)
    Issue (Month): C ()
    Pages: 65-73

    as in new window
    Handle: RePEc:eee:agisys:v:107:y:2012:i:c:p:65-73

    Contact details of provider:
    Web page: http://www.elsevier.com/locate/agsy

    Related research

    Keywords: Grazing management; Expert systems; Intuition; Decision making; Improving intuition;

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:107:y:2012:i:c:p:65-73. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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