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
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