Abstract Machine learning (ML) technology is a powerful tool in food science and
engineering offering numerous advantages, from recognizing patterns and predicting …

Milk analysis is critical to determine its intrinsic quality, as well as its nutritional and
economic value. Currently, the advancements and utilization of spectroscopy-based …

In response to the critical issue of milk adulteration jeopardizing both the nutritional integrity
of milk and the health of consumers, this paper presents an innovative Artificial Intelligence …

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 …

This study proposed using color components as artificial intelligence (AI) input to predict milk
moisture and fat contents. In this sense, an adaptive neuro‐fuzzy inference system (ANFIS) …

Sažetak Research background. The aim of this study is to emphasize the importance of
artificial intelligence (AI) and causality modelling of food quality and analysis with'big data' …

Sažetak Pozadina istraživanja. Svrha je ovog istraživanja bila naglasiti važnost korištenja
umjetne inteligencije (AI) i modeliranja uzročnosti kakvoće hrane, te analize velike količine …

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 …

Food quality is defined as a collection of properties that differentiate each unit and
influences acceptability degree of food by users or consumers. Owing to the nature of food …

Milk is the basic need of people in their day-to-day life. The quality of milk is an important
factor to take into consideration for optimal health because it is consumed by all age groups …