In recent years, the integration of Internet of Things (IoT) technology and digital twins has revolutionized supply chain management, especially in the context of food supply chains. Digital twins, virtual replicas of physical processes linked to real data through IoT sensors and big data analytics, offer unique advantages in addressing specific challenges in the food industry. These challenges include ensuring food safety and quality, reducing waste, optimizing logistics and maintaining traceability throughout the supply chain. By simulating complex physiological, biochemical and microbiological processes, digital twins provide valuable insights into quality control and risk management, enabling stakeholders to proactively address issues such as spoilage, contamination and supply chain disruptions. This chapter provides a comprehensive overview of digital twins in the context of the food supply chain. It covers the principles, types, integration with the IoT, key elements and implementation steps. It also explores the latest advances and future trends in the field, including the development of more sophisticated predictive models, increasing interoperability with other digital technologies such as blockchain and artificial intelligence, and the potential for decentralized, autonomous supply chain networks. By exploring current practices and new innovations, this chapter aims to provide readers with a deeper understanding of how digital twins can lead the food industry towards a more sustainable and resilient future.