Artificial Intelligence and Digitalization in Food Science

The integration of artificial intelligence and digitalization in food science is transforming every stage of the food supply chain, from production to consumption. AI-driven predictive analytics are optimizing agricultural yields, reducing waste, and enhancing food safety by identifying contamination risks in real time. Machine learning algorithms are revolutionizing quality control, ensuring consistency in texture, flavor, and nutritional composition through automated sensory evaluation. Digital twin technology is enabling precise simulations of food processing conditions, leading to improved efficiency and resource management. Meanwhile, blockchain is enhancing traceability, providing transparent records of ingredient sourcing and supply chain logistics. Personalized nutrition is also benefiting from AI, with data-driven meal planning and functional food recommendations tailored to individual health needs.