International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Survey of Dairy Products Using Machine Learning Techniques

Abstract

The quality of dairy is of great importance in the food industry, as dairy is one of the main sources of proteins, calcium, vitamins and minerals that the human body needs. Dairy is found in many products, including milk, cream, and cheese, the most important of which is milk. It represents the basic and important element in people's lives, especially children, because it is an indispensable source for their growth, building their bones, and strengthening their bodies. Milk is a perishable product. Every gram of milk of poor quality or structure can cause tons of milk to spoil, causing significant financial losses and can lead to poisoning. Therefore, the quality and safety standards of this product are essential to ensure the provision of healthy and safe products to consumers. Determining the quality of the milk product is crucial for the purpose of monitoring to reduce potential losses and damages. The aim of this research is to provide a brief survey of the methods used in classifying milk quality using artificial intelligence methods, which include the use of machine learning algorithms through Identifying the most important and accurate methods and displaying the results reached using the known metrics: Accuracy, Precision, Recall, and F1_score.

Country : Iraq

1 Nour Abd AL Khaliq Fadel2 Baydaa Sulaiman Bahnam

  1. Student, Department of Software, College of Computer Science and Mathematics, University of Mosul, Iraq
  2. Assist. Professor, Department of Software, College of Computer Science and Mathematics, University of Mosul, Iraq

IRJIET, Volume 8, Issue 1, January 2024 pp. 55-61

doi.org/10.47001/IRJIET/2024.801007

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