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Graduate Projects - Details

Computer Science Program

Project ID: 259
Author: Lakshmi Pinnenti
Project Title: Detection and Identification of Bacterial and Parasitic Pathogens in Fish Husbandry using Web-based Expert System
Semester: Spring 2006
Committe Chair: Dr. Mario Al. Garcia
Committee Member 1: Dr. LongZhuang Li
Committee Member 2: Dr. David Thomas
Project Description: Proper disease diagnosis is essential for understanding infectious diseases in fish husbandry. Unfortunately, many of these methods are poorly understood or not utilized by aquaclturists often because of the lack of contct with epidemiologist / veterinarian who are willing to investigate fish diseases. Nowadays expert systems are becoming popular in desease diagnosis in humans, animals and in argiculture. Web-based Detection and Identification of Diseases in Fish Husbandry using Java Expert Shell System (WDIDFHJES) was implemented to prevent fish loss. The moribound fish is evaluated morphologically for external symptoms of the disease and later subjected to microbial and biochemical tests. The results obtained from the observation will be sent to the expert system, where they are converted into facts using the constructs provided in JESS. These facts are then matched against the rules contained in the knowledge base expert system. If any of these rules match against the facts then the rule is fired and the corresponding action will be taken to mitigate the crop loss.
Project URL:   259.pdf
 
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