Articles
POSSIBILITIES FOR EXPERT SYSTEMS IN AGRICULTURE
Article number
175_22
Pages
157 – 162
Language
English
Abstract
Amongst the difficulties of applying scientifically obtained research results to practical problems is the emphasis on representing those results in a standard scientific form (i.e. as a process model) rather than in a form suited to managers.
Recent products from research into artificial intelligence have provided an alternative approach to representing knowledge suitable for management purposes; these products, expert systems, consist essentially of two parts, a knowledge base and an inference engine.
The former contains accumulated knowledge about a particular management problem, whilst the latter consists of an inferencing mechanism used to search for relevant knowledge in order to suggest solutions.
Expert systems have now been applied in a number of fields, including agriculture, and guidelines on the problem types to which they are well-suited are now emerging from the applications.
Recent products from research into artificial intelligence have provided an alternative approach to representing knowledge suitable for management purposes; these products, expert systems, consist essentially of two parts, a knowledge base and an inference engine.
The former contains accumulated knowledge about a particular management problem, whilst the latter consists of an inferencing mechanism used to search for relevant knowledge in order to suggest solutions.
Expert systems have now been applied in a number of fields, including agriculture, and guidelines on the problem types to which they are well-suited are now emerging from the applications.
Authors
J.R. Davis
Keywords
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