The Use Of Fuzzy Logic Approach in Evaluation Of Sublinic Mastitis

Authors : Fatma Sinem COŞKUN, Uğur ZÜLKADİR

Pages : 436-439

View : 25 | Download : 20

Publication Date : 2018-12-28

Article Type : Research Paper

Abstract :This study was carried out with the aim of investigating the possibility of detection of subclinical mastitis in the number of somatic cell count and electrical conductivity by using fuzzy logic method in Holstein cows raised in a private farm in the Karapinar district of Konya. As a result of the analysis, mean of somatic cell count was 348153 ± 52340 and average of electrical conductivity was 4.23 ± 0.18. Linear regression of electrical conductivity and milk fat to somatic cell count were found statistically significant insert ignore into journalissuearticles values(P<0.01);, while the parity was insignificant to the somatic cells count. For the electrical conductivity, the effect of the parity, animal group and the protein group was very important insert ignore into journalissuearticles values(P <0.001); and the effect of the milk fat group was significant insert ignore into journalissuearticles values(P<0.05);. In the analysis according to the fuzzy logic method, the accuracy ratio between the number of somatic cells count and the electrical conductivity was determined as 92.45%. As a result, 92% of subclinical mastitis can be correctly detected using the number of somatic cells and electrical conductivity values.
Keywords : Electrical Conductivity, Fuzzy Logic, Holstein Friesian, Somatic Cell Count