This study aimed to find out what factors have the biggest impact on milk quality. We looked
at 9 different variables including pH, temperature, taste, odor, fat, turbidity, color, and grade …

Milk is the main dietary supply for every individual. High-quality milk shouldn't contain any
adulterants. Dairy products are sold everywhere in society. Yet, the local milk vendors use a …

Milk quality prediction is essential in the dairy industry to optimize production processes,
ensure regulatory compliance, and maintain consumer trust. By leveraging predictive …

There has been an increase in the implementation of Artificial Intelligence (AI) in the dairy
industry for Milk Quality Analysis (MQA). However, traditional Machine Learning (ML) …

Quality of product is always one of the top concerns in manufacturing and production lines.
The assessment and classification of product quality can be done by many different …

Machine learning algorithms are used successfully in many sectors. The data formed by the
development of digital technology are analyzed with machine learning algorithms and …

Every problem has a solution, and the bulk of those answers are made possible by
advances in technology. The new ideas and their implementation have dramatically …

Ensuring the quality of milk is paramount for consumer health and industry standards. This
study introduces a comparative analysis of two machine learning approaches, the k-Nearest …

Fermented milk has already entered the household as a kind of health drink. With the
expansion of the fermented milk market, greater demands are being placed on food …

For milk quality analysis, in many nations across the world, adulteration of milk by various
contaminants, including water, whey, and urea, as well as certain other toxic substances, is …