Capturing data via sensors is only a first step. Data are only the facts and figures that you measure. By ordering, analysing and adding context to them, data can be transformed to information. By understanding patterns in information, we can attain knowledge.

Use of data and data analytics in the field of food processing can contribute to increased competitiveness and the sustainability performance of this sector. With advanced data analytics methods, such as artificial intelligence, in-depth insights and data spaces, actionable information can be attained to solve complex problems in the agrifood value chain. By creating a virtual replica connected to the physical asset, digital twins give smart manufacturers the real-time insights they need to make production decisions quickly. Combining Digital Twins with Artificial Intelligence decision-making technologies can therefore transform agrifood production systems and supply chains.