Abstract
The financial performance of a farm is nowadays more dependent on the farmer's technical knowledge and management skills. To support management, microcumputer programs can be used.
The Agricultural Economics Research Institute (LEI) developed the knowledge-based computer system GLOBAL-DETECTOR for globally analysing economical and technical bookkeeping-data and to give advice for improvement. This system, which software is programmed in the language muLISP, covers all returns and variable costs. For analysing the data, farm-adjusted standards are used. The acquisition and presentation of knowledge for the diagnosis of performance is done by a method (IMAGINE) which is developed especially for this research.
GLOBAL-DETECTOR supports decision-making. In this perspective, the extensive explanation-facilities possessed by the system are crucial. First experiences with the system seem positive. Although farmer's individual whishes and demands cannot be fulfilled casily with computer systems, GLOBAL-DETECTOR may be used on a large scale on account of the flexibility and user-friendliness.
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© 1992 International Federation for Information Processing
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Hennen, W.H.G.J., de Hoop, D.W. (1992). GLOBAL-DETECTOR: Knowledge-based analysis and diagnosis of economical performance on dairy farms. In: Beulens, A.J.M., Sebastian, HJ. (eds) Optimization-Based Computer-Aided Modelling and Design. Lecture Notes in Control and Information Sciences, vol 174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0040140
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DOI: https://doi.org/10.1007/BFb0040140
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