Coşkun, Fatma SinemZülkadir, Uğur2024-10-242024-10-242018Coşkun, F. S., Zülkadir, U., (2018) The Use Of Fuzzy Logıc Approach In Evaluatıon Of Sublınıc Mastıtıs. Selcuk Journal of Agriculture and Food Sciences 32(3), 436-439. DOI:10.15316/SJAFS.2018.1192458-8377https://hdl.handle.net/20.500.12395/53008This study was carried out with the aim of investigating the possibility ofdetection of subclinical mastitis in the number of somatic cell count and electrical conductivity by using fuzzy logic method in Holstein cows raised in aprivate farm in the Karapinar district of Konya.As a result of the analysis, mean of somatic cell count was 348153 ± 52340and average of electrical conductivity was 4.23 ± 0.18. Linear regression ofelectrical conductivity and milk fat to somatic cell count were found statistically significant (P<0.01), while the parity was insignificant to the somatic cellscount. For the electrical conductivity, the effect of the parity, animal group andthe protein group was very important (P <0.001) and the effect of the milk fatgroup was significant (P<0.05). In the analysis according to the fuzzy logicmethod, the accuracy ratio between the number of somatic cells count and theelectrical conductivity was determined as 92.45%.As a result, 92% of subclinical mastitis can be correctly detected using thenumber of somatic cells and electrical conductivity values.en10.15316/SJAFS.2018.119info:eu-repo/semantics/openAccessElectrical ConductivityFuzzy LogicHolstein-FriesianSomatic Cell CountArticle323436439