Derleme

Potential application areas of artificial intelligence in dairy industry

Cilt: 15 15 Ocak 2026
PDF İndir
TR EN

Potential application areas of artificial intelligence in dairy industry

Abstract

Food manufacturers are taking a proactive approach to food safety and quality issues through predictive modeling. This situation necessitates reaching the most accurate result with high speed and repeatability. Therefore, food manufacturers aim to integrate artificial intelligence systems into their routine production by utilising machine learning (ML), the Internet of Things (IoT), and deep learning (DL) through big data analysis. The fact that milk is easily spoilt due to its nature, that the quality of raw milk directly affects the quality of the final product and that raw milk production is predominantly carried out by both dispersed and small producers makes it mandatory for the dairy industry to focus on quality and food safety issues in a disciplined manner from raw materials to the end product. This review discusses the possibilities of utilising artificial intelligence models in the dairy industry to maintain quality and ensure food safety.

Keywords

Proje Numarası

Bulunmamaktadır

Kaynakça

  1. S. P. Oliver, B. Jayarao, M. and R. A. Almeida, Foodborne pathogens in milk and the dairy farm environment: food safety and public health implications. Foodborne Pathogens and Diseases, 2(2), 115-29, 2005. https://doi.org/ 10.1089/fpd.2005.2.115.
  2. D. Grace, F. Wu and A. H. Havelaar, Foodborne diseases from milk and milk products in developing countries-Review of causes and health and economic implications. Journal of Dairy Science, 103(11), 9715-9729, 2020. https://doi.org/10.3168/jds.2020-18323.
  3. C. Xiu and K.K. Klein, Melamine in milk products in China: Examining the factors that led to deliberate use of the contaminant. Food Policy, 35(5), 463-470, 2010. https://doi.org/10.1016/j.foodpol.2010.05.001.
  4. Z. Liu, S. Wang, Y. Zhang, Y. Feng, J. Liu, and H. Zhu, Artificial intelligence in food safety: a decade review and bibliometric analysis. Foods, 12, 1242, 2023. https://doi.org/10.3390/foods12061242.
  5. K. B. Chhetri, Application of artificial intelligence and machine learning in food quality control and safety assessment. Food Engineering Reviews, 16(1), 1-21, 2024. https://doi.org/10.1007/s12393-023-09363-1.
  6. X. Han, Q. Liu, Y. Li, M. Zhang, K. Liu, , L.-Y. Kwok, H. Zhang and W. Zhang, Synergizing artificial intelligence and probiotics: A comprehensive review of emerging applications in health promotion and industrial innovation. Trends in Food Science and Technology, 159, 104938, 2025. https://doi.org/10.1016/j.tifs.2025.104938.
  7. P. Devi, K. Subburamu,V. A. Giridhari, B. Dananjeyan and T. Maruthamuthu, Integration of AI based tools in dairy quality control: Enhancing pathogen detection efficiency. Journal of Food Measurement and Characterization, (published on-line on May 17, 2025), 2025. https://doi.org/10.1007/s11694-025-03269-8.
  8. I. Moon, F. Yi and B. Javidi, Automated three-dimensional microbial sensing and recognition using digital holography and statistical sampling. Sensors 10(9), 8437–8451, 2010. https://doi.org/10.3390/s100908437.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Gıda Mühendisliği

Bölüm

Derleme

Erken Görünüm Tarihi

2 Aralık 2025

Yayımlanma Tarihi

15 Ocak 2026

Gönderilme Tarihi

13 Haziran 2025

Kabul Tarihi

3 Ekim 2025

Yayımlandığı Sayı

Yıl 2026 Cilt: 15

Kaynak Göster

APA
Bekremen, B., & Özer, H. B. (2026). Potential application areas of artificial intelligence in dairy industry. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 15, 1-11. https://doi.org/10.28948/ngumuh.1718941
AMA
1.Bekremen B, Özer HB. Potential application areas of artificial intelligence in dairy industry. NÖHÜ Müh. Bilim. Derg. 2026;15:1-11. doi:10.28948/ngumuh.1718941
Chicago
Bekremen, Bilgesu, ve Hamdi Barbaros Özer. 2026. “Potential application areas of artificial intelligence in dairy industry”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 15 (Ocak): 1-11. https://doi.org/10.28948/ngumuh.1718941.
EndNote
Bekremen B, Özer HB (01 Ocak 2026) Potential application areas of artificial intelligence in dairy industry. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 15 1–11.
IEEE
[1]B. Bekremen ve H. B. Özer, “Potential application areas of artificial intelligence in dairy industry”, NÖHÜ Müh. Bilim. Derg., c. 15, ss. 1–11, Oca. 2026, doi: 10.28948/ngumuh.1718941.
ISNAD
Bekremen, Bilgesu - Özer, Hamdi Barbaros. “Potential application areas of artificial intelligence in dairy industry”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 15 (01 Ocak 2026): 1-11. https://doi.org/10.28948/ngumuh.1718941.
JAMA
1.Bekremen B, Özer HB. Potential application areas of artificial intelligence in dairy industry. NÖHÜ Müh. Bilim. Derg. 2026;15:1–11.
MLA
Bekremen, Bilgesu, ve Hamdi Barbaros Özer. “Potential application areas of artificial intelligence in dairy industry”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, c. 15, Ocak 2026, ss. 1-11, doi:10.28948/ngumuh.1718941.
Vancouver
1.Bilgesu Bekremen, Hamdi Barbaros Özer. Potential application areas of artificial intelligence in dairy industry. NÖHÜ Müh. Bilim. Derg. 01 Ocak 2026;15:1-11. doi:10.28948/ngumuh.1718941