Reasoning under uncertainty for plant disease diagnosis
Athena Tocatlidou, Harold Christopher Passam, Alexander B. Sideridis, Constantine P. Yialouris · Expert Systems · 2002
The present work describes an operational knowledge‐based system able to reason with uncertain knowledge, by using methodologies and formalisms that provide for representation of facts and rules with various degrees of certainty and precision. The user interface is windows based, and its design allows high flexibility both in describing the facts in the knowledge base and in adapting the reasoning mechanism. It can therefore be used to evaluate user‐generated hypotheses on plant disorders and diagnostic scenarios, as well as provide an environment for education and training in phytopathology.