• DocumentCode
    624130
  • Title

    Using association rules to identify root causes of CRD in broilers

  • Author

    Maneewongvatana, Suthathip ; Maneewongvatana, Suthathip ; Lojitamnuay, Tanate ; Juthasong, Mallika

  • Author_Institution
    Dept. of Comput. Eng., King Mongkut´s Univ. of Technol. Thonburi, Bangkok, Thailand
  • fYear
    2013
  • fDate
    29-31 May 2013
  • Firstpage
    206
  • Lastpage
    210
  • Abstract
    Chronic Respiratory Disease (CRD) in broilers poses some management challenges for the poultry meat industry since the disease discovery often comes too late. Raw meat from infected chickens must be excluded from being processed into cooked poultry product. Many factors from raising process are considered to contribute to such disease. Thus, finding root causes of CRD would help the farmers to have better control and prevent disease and also help the processing facilities to have a better estimation of raw meat amount. In this paper, we apply associate rules technique to identify the root causes of CRD. Possible factors were first identified by skilled veterinarians. Then collected data from several farms were used to find sets of factors that could potentially be the root causes. From the results we can identify set of general factors that are common root causes on all farms as well as sets of farm-dependent factors.
  • Keywords
    data mining; diseases; farming; food safety; lung; veterinary medicine; CRD root cause identification; association rules; broilers; chronic respiratory disease; disease control; disease discovery; disease prevention; farm-dependent factors; infected chicken; management challenge; poultry meat industry; poultry product; raw meat; veterinarian; Association rules; Diseases; Expert systems; Humidity; Itemsets; Standards; Association Rules; Broiler Farm Industry; CRD;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering (JCSSE), 2013 10th International Joint Conference on
  • Conference_Location
    Maha Sarakham
  • Print_ISBN
    978-1-4799-0805-9
  • Type

    conf

  • DOI
    10.1109/JCSSE.2013.6567346
  • Filename
    6567346