Detector : knowledge-based systems for dairy farm management support and policy analysis : methods and applications

    Research output: Thesisexternal PhD, WU


    This thesis describes new methods and knowledge-based systems for the analysis of technical and economic accounting data from the year-end records of individual dairy farms to support the management and, after adaptation, for policy analysis.

    A new method for farm comparison, the farm-adjusted standard, which makes it able to compare a dairy farm with similar farms, is described. Two methods for the acquisition, representation, and presentation of knowledge from experts are developed. These methods, IMAGINE and FUZZY-DETECTOR, can be used for different types of data and are especially characterised by fuzzy boundaries, compensatory mechanisms, and fast and easy knowledge acquisition.

    Two knowledge-based systems have been developed where these methods are used. GLOBAL-DETECTOR performs a global analysis of year-end results concerning aspects of gross margin. ENVIRONMENT-DETECTOR gives suggestions for a reduction of nitrogen surplus while maintaining the income. Proposed is a new method for sector responses on government options (APPROXI). A model is presented as an example of this method.

    The developed methods and knowledge-based systems for this thesis offer many opportunities for application in other domains.

    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • Zachariasse, L.C., Promotor
    • Kolen, A.W.J., Co-promotor, External person
    Award date17 Feb 1995
    Place of PublicationS.l.
    Print ISBNs9789052422732
    Publication statusPublished - 1995


    • information systems
    • automation
    • management
    • milking
    • milk production
    • milking machines
    • dairy cattle
    • dairy farming
    • farm management
    • mechanization


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