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Year 2021, Volume: 9 Issue: 3, 79 - 84, 30.09.2021

Büşra Uzun Novruz Allahverdı

https://doi.org/10.18100/ijamec.980645

Abstract

References

  • L. A. Zadeh. Fuzzy sets. Information and control, vol. 8 (1965), pp. 338–353.
  • ONUR, Suat. Süt ölçüm ve takip istasyonu için otomasyon yazılımı geliştirme. 2016. Master's Thesis, Balıkesir Üniversitesi Fen Bilimleri Enstitüsü.
  • MEMMEDOVA Nazire. Süt sığırlarında mastitisin bazı yapay zeka yöntemleri kullanılarak erken dönemde tespiti. PhD thesis, Selçuk Üniversitesi Fen Bilimleri Enstitüsü, 2012.
  • YASMEEN, S., et al. Automated milk preservation system using fuzzy logic system.J. Anim. Plant Sci, 2013, 23: 1477-1481.
  • DİLER, Abdulkerim; BARAN, Alper. Erzurum’un Hınıs ilçesi çevresindeki küçük ölçekli işletme tank sütlerinden alınan çiğ süt örneklerinin bazı kalite özelliklerinin belirlenmesi. Alinteri Journal of Agriculture Science, 2014, 26.1: 18-24.
  • TORLAK, Emrah, et al. Çiğ sütlerde antibiyotik kalıntı analizlerinde hızlı test metotlarının ve HPLC tekniğinin değerlendirilmesi. Atatürk Üniversitesi Veteriner Bilimleri Dergisi, 2012, 7.2: 105-111.
  • AKILLI, Aslı; ATIL, Hülya; KESENKAŞ, Harun. Çiğ süt kalite değerlendirmesinde bulanık mantık yaklaşımı. Kafkas Üniversitesi Veteriner Fakültesi Dergisi, 2014, 20.2: 223-229.
  • DEMIRCI, M. Süt Mikrobiyolojisi ve Katkı Maddeleri. Süt ve Süt Ürünleri Sempozyumu Tebliğler Kitabı, Rebel Yayıncılık, birinci baskı, 2000, 37-55.
  • FAGUNDES, H., et al. Microbiological analysis and somatic cell counts in raw milk from farms of So Paulo State, Brazil. African Journal of Microbiology Research, 2011, 5.21: 3542-3545.
  • ZADEH, Lotfi A. Outline of a new approach to the analysis of complex systems and decision processes, IEEE Transactions on systems, Man, and Cybernetics, 1973, 1: 28-44.
  • SARI, M.; MURAT, Yetiş Şazi; KIRABALI, M. Bulanik modelleme yaklaşimi ve uygulamalari. Journal of Science and Technology of Dumlupınar University, 2005, 009: 77-92.
  • ATIL, Hülya; AKILLI, Aslı. Comparison of artificial neural network and K-means for clustering dairy cattle. International Journal of Sustainable Agricultural Management and Informatics, 2016, 2.1: 40-52.
  • GÖKÇE, Ramazan; ASLANALP, Yeşim; HERKEN, Emine Nur. Microbiological quality of karin butter, a traditionally manufactured butter from Turkey, Grasas y Aceites, 61(2):121, 125, 2010.
  • BAYKAL, Nazife; BEYAN, Timur. Bulanık mantık ilke ve temelleri. Bıçaklar Kitabevi, 2004.
  • ALLAHVERDI, Novruz. Bulanik mantik ve tipta uygulamalari, Karyay - Karatay Üniversitesi, 2020, 240 sayfa.

Fuzzy Control System for Predicting The Quality of Thermally Processed Raw Milk

Year 2021, Volume: 9 Issue: 3, 79 - 84, 30.09.2021

Büşra Uzun Novruz Allahverdı

https://doi.org/10.18100/ijamec.980645

Abstract

Milk, which has a very important place in human nutrition, can be harmful in terms of human health when it is not produced, stored, processed, and necessary controls are performed under hygienic conditions. Even if raw milk contains a small number of bacteria, it is degraded in a very short time after the milking by the effects of microorganisms transmitted from the environment in various ways and constitutes the potential source of many pathogens that cause diseases in humans.
Milk proteins contain essential amino acids that cannot be synthesized by the human body and must be taken from the outside. The microorganism load of milk is one of the most important indicators in determining milk quality and determining the hygienic properties of milk in the process from raw milk production to consumption. Fuzzy logic, which is frequently used in the solution of problems that occur in uncertain situations such as quality assessment in recent years, is one of the artificial intelligence methods. In this study, it was aimed to develop a fuzzy logic-based decision support system aimed at predicting the deterioration of heat-treated raw milk. As the subject of this project, it was developed to determine whether the milk produced in troops, farms and cooperatives is spoiled before the milk goes from production households to businesses.

Keywords

Fuzzy Control Systems Fuzzy Logic Heat treatment Fuzzy Logic Algorithm Microbial load pH value

References

  • L. A. Zadeh. Fuzzy sets. Information and control, vol. 8 (1965), pp. 338–353.
  • ONUR, Suat. Süt ölçüm ve takip istasyonu için otomasyon yazılımı geliştirme. 2016. Master's Thesis, Balıkesir Üniversitesi Fen Bilimleri Enstitüsü.
  • MEMMEDOVA Nazire. Süt sığırlarında mastitisin bazı yapay zeka yöntemleri kullanılarak erken dönemde tespiti. PhD thesis, Selçuk Üniversitesi Fen Bilimleri Enstitüsü, 2012.
  • YASMEEN, S., et al. Automated milk preservation system using fuzzy logic system.J. Anim. Plant Sci, 2013, 23: 1477-1481.
  • DİLER, Abdulkerim; BARAN, Alper. Erzurum’un Hınıs ilçesi çevresindeki küçük ölçekli işletme tank sütlerinden alınan çiğ süt örneklerinin bazı kalite özelliklerinin belirlenmesi. Alinteri Journal of Agriculture Science, 2014, 26.1: 18-24.
  • TORLAK, Emrah, et al. Çiğ sütlerde antibiyotik kalıntı analizlerinde hızlı test metotlarının ve HPLC tekniğinin değerlendirilmesi. Atatürk Üniversitesi Veteriner Bilimleri Dergisi, 2012, 7.2: 105-111.
  • AKILLI, Aslı; ATIL, Hülya; KESENKAŞ, Harun. Çiğ süt kalite değerlendirmesinde bulanık mantık yaklaşımı. Kafkas Üniversitesi Veteriner Fakültesi Dergisi, 2014, 20.2: 223-229.
  • DEMIRCI, M. Süt Mikrobiyolojisi ve Katkı Maddeleri. Süt ve Süt Ürünleri Sempozyumu Tebliğler Kitabı, Rebel Yayıncılık, birinci baskı, 2000, 37-55.
  • FAGUNDES, H., et al. Microbiological analysis and somatic cell counts in raw milk from farms of So Paulo State, Brazil. African Journal of Microbiology Research, 2011, 5.21: 3542-3545.
  • ZADEH, Lotfi A. Outline of a new approach to the analysis of complex systems and decision processes, IEEE Transactions on systems, Man, and Cybernetics, 1973, 1: 28-44.
  • SARI, M.; MURAT, Yetiş Şazi; KIRABALI, M. Bulanik modelleme yaklaşimi ve uygulamalari. Journal of Science and Technology of Dumlupınar University, 2005, 009: 77-92.
  • ATIL, Hülya; AKILLI, Aslı. Comparison of artificial neural network and K-means for clustering dairy cattle. International Journal of Sustainable Agricultural Management and Informatics, 2016, 2.1: 40-52.
  • GÖKÇE, Ramazan; ASLANALP, Yeşim; HERKEN, Emine Nur. Microbiological quality of karin butter, a traditionally manufactured butter from Turkey, Grasas y Aceites, 61(2):121, 125, 2010.
  • BAYKAL, Nazife; BEYAN, Timur. Bulanık mantık ilke ve temelleri. Bıçaklar Kitabevi, 2004.
  • ALLAHVERDI, Novruz. Bulanik mantik ve tipta uygulamalari, Karyay - Karatay Üniversitesi, 2020, 240 sayfa.
There are 15 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Article
Authors

Büşra Uzun 0000-0001-5788-9515

Novruz Allahverdı 0000-0001-9807-884X

Publication Date September 30, 2021
Published in Issue Year 2021 Volume: 9 Issue: 3

Cite

APA Uzun, B., & Allahverdı, N. (2021). Fuzzy Control System for Predicting The Quality of Thermally Processed Raw Milk. International Journal of Applied Mathematics Electronics and Computers, 9(3), 79-84. https://doi.org/10.18100/ijamec.980645
AMA Uzun B, Allahverdı N. Fuzzy Control System for Predicting The Quality of Thermally Processed Raw Milk. International Journal of Applied Mathematics Electronics and Computers. September 2021;9(3):79-84. doi:10.18100/ijamec.980645
Chicago Uzun, Büşra, and Novruz Allahverdı. “Fuzzy Control System for Predicting The Quality of Thermally Processed Raw Milk”. International Journal of Applied Mathematics Electronics and Computers 9, no. 3 (September 2021): 79-84. https://doi.org/10.18100/ijamec.980645.
EndNote Uzun B, Allahverdı N (September 1, 2021) Fuzzy Control System for Predicting The Quality of Thermally Processed Raw Milk. International Journal of Applied Mathematics Electronics and Computers 9 3 79–84.
IEEE B. Uzun and N. Allahverdı, “Fuzzy Control System for Predicting The Quality of Thermally Processed Raw Milk”, International Journal of Applied Mathematics Electronics and Computers, vol. 9, no. 3, pp. 79–84, 2021, doi: 10.18100/ijamec.980645.
ISNAD Uzun, Büşra - Allahverdı, Novruz. “Fuzzy Control System for Predicting The Quality of Thermally Processed Raw Milk”. International Journal of Applied Mathematics Electronics and Computers 9/3 (September 2021), 79-84. https://doi.org/10.18100/ijamec.980645.
JAMA Uzun B, Allahverdı N. Fuzzy Control System for Predicting The Quality of Thermally Processed Raw Milk. International Journal of Applied Mathematics Electronics and Computers. 2021;9:79–84.
MLA Uzun, Büşra and Novruz Allahverdı. “Fuzzy Control System for Predicting The Quality of Thermally Processed Raw Milk”. International Journal of Applied Mathematics Electronics and Computers, vol. 9, no. 3, 2021, pp. 79-84, doi:10.18100/ijamec.980645.
Vancouver Uzun B, Allahverdı N. Fuzzy Control System for Predicting The Quality of Thermally Processed Raw Milk. International Journal of Applied Mathematics Electronics and Computers. 2021;9(3):79-84.

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