Oregon State University. Department of Computer Science
Abstract
Expert advisory systems for agricultural pest management control offer the means to capitalize on the wealth of information that is currently tied up in research laboratories and human experts' minds. The ideal system would blend knowledge from three sources - human experts, dynamic simulation models, and historical databases - to identify pests and to produce advisories for their management. We describe the design of such a system and the progress to date in the construction of prototype systems
