9^th European Food Science Congress

AI-Driven Food Systems

AI-Driven Food Systems refer to the integration of artificial intelligence technologies in various stages of the food production, processing, and distribution chain. These systems leverage machine learning, data analytics, and automation to optimize agricultural practices, reduce food waste, and enhance food quality and safety. By utilizing AI-powered tools such as drones, sensors, and computer vision, food producers can monitor crops in real-time, improve yield efficiency, and implement sustainable farming practices. AI also helps reduce food waste by accurately predicting demand, optimizing supply chains, and ensuring that products reach consumers in the most efficient way possible. Moreover, AI enables personalized nutrition, offering tailored dietary recommendations based on individual health data, which can improve overall well-being. Through these innovations, AI is revolutionizing food systems, making them more efficient, sustainable, and aligned with consumer needs, while also contributing to a healthier future for both people and the planet.