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.
|Qualification||Doctor of Philosophy|
|Award date||17 Feb 1995|
|Place of Publication||S.l.|
|Publication status||Published - 1995|
- information systems
- milk production
- milking machines
- dairy cattle
- dairy farming
- farm management