Decision Support System of Searching and Preliminary Diagnosis on Chicken Diseases Online

• Main Authors: Yen-Chih Chang, 張雁智
• Other Authors: Shii-Wen Roan
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/05579487679757015730

碩士 === 國立中興大學 === 畜產學系 === 91 === The purpose of this study was to develop a decision support system of searching and preliminary diagnosis on chicken diseases online for poultry men. It is expected to go through web convenience and to let users could receive relevant information on chicken diseases more conveniently and to assist them to understand and learn about knowledge of chicken diseases. The system used Microsoft Windows 2000 Server operation system, and was written in ASP (Active Server Pages) programming language with Microsoft Access database. This system was mainly divided into six sections in terms of chicken external illustration, chicken disease searching system, chicken disease diagnosis system, chicken disease index, relevant web resources and system manual. The section of chicken external illustration offered each appellation and pictorial illustration of chicken, users could easily to search and to learn chicken information. The section of chicken disease system was divided into two parts regarding chicken disease searching and pictorial symptoms. The part of chicken disease searching includes five parts including virus, bacteria, nutrition or metabolism, protozoa and toxin based on causality, and collected 32 common diseases for chicken farm in Taiwan to provide farmers to search according to classification of the system. The collection list of relevant information of chicken disease in this system concerns pathogenesis and classification, onset season and main attack age, transmission, clinical sign and remedial recommendation and prevention. The classification manner of pictorial symptom was similar to the part of chicken disease searching, and collected 44 color pictures of different type to make as an assisted reference to identify chicken diseases. The section of preliminary diagnosis system on chicken diseases separated apparent clinical sign into eight sections in terms of general, appearance or feather, comb or wattles, respiration, nerve, digestion or excretion, chicken onset age and chicken species. User could therefore select each symptom according to description. The system could preliminarily diagnose possible diseases and relative rank of weighted value in chicken farms and illustrated the basis and reasons of inference. Users could thus understand relevant information in chicken diseases and use it as a tool for making support decision. The part of chicken disease index offered each relevant index on chicken diseases in Chinese and English, and could search according to classification of the system. The part of relevant web resources offered relevant websites of animal science and veterinary medicine, academic units, and animal preventive centers of each county in Taiwan. In order to make users to handle this system quickly, a manual was also provided. This system combines the feature of Internet convenience with simple operation, users could get relevant information of chicken diseases more diversified.