FISH diseases, KNOWLEDGE representation (Information theory), DIAGNOSIS, RESEARCH personnel, ANIMAL diseases
Abstract
A recent study conducted by researchers at the University of Patras in Greece has developed a web-based intelligent system for diagnosing fish diseases. The system utilizes multiple knowledge representation and reasoning methods, including rule-based, case-based, weight-based, and voting. The diagnostic process consists of a general stage and a specialized stage, with the general stage being the most useful as it can be performed on-site in real-time. The system also provides explanations for its decisions and has shown high accuracy in diagnosing fish diseases. [Extracted from the article]