The Use Of Fuzzy Logıc Approach In Evaluatıon Of Sublınıc Mastıtıs
Yükleniyor...
Dosyalar
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Selçuk Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This 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.
Açıklama
Anahtar Kelimeler
Electrical Conductivity, Fuzzy Logic, Holstein-Friesian, Somatic Cell Count
Kaynak
Selcuk Journal of Agriculture and Food Sciences
WoS Q Değeri
Scopus Q Değeri
Cilt
32
Sayı
3
Künye
Coşkun, 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.2018.119
