Application of artificial intelligence in the food industry

The article examines innovative automated methods and approaches based on algorithms for artificial intelligence, data analysis, machine learning and deep learning in the food industry, which, in combination with modernized intelligent equipment, lead to sales growth, reduce product counterfeiting, increase the quality of the produced production, identify and track food products, evaluate their characteristics and qualities, improve health and customer satisfaction, etc. With the development of automation, computer-aided design, integration and management, the food industry reaches a peak and exponential progress. The paper aims to show verified practical applications of artificial intelligence (AI) in the food industry. In support of the thesis, developed and implemented technological solutions in sustainable industrial applications such as electronic noses, electronic palates, computer vision systems, the Internet of Things, and tools for identifying and distinguishing individual qualities of food products are presented.