LIACS joins Use Case Dark Fruit Factory

AI as a bridge between theory and practice in sorting and packing lines

A new partner helping to accelerate development

The Leiden Institute of Advanced Computer Science (LIACS) has joined Use Case Dark Fruit Factory as a new knowledge partner within NXTGEN Hightech Agrifood. This use case focuses on automation in fruit processing, aiming to reduce manual labour while ensuring consistent performance. For companies in open field cultivation and across the supply chain, this is especially relevant because the goal is not to find a single solution, but to prove that a complete line can keep running under real conditions, with variation in fruit, fluctuating supply and strict requirements for hygiene and traceability, so you can track where products come from and where they go.

 

The addition of LIACS supports the project’s need to translate data-driven innovations, based on advanced data analysis, into practical applications more quickly and with stronger validation.

Automation only becomes practical when you can assess the full line for speed and disruptions

In many fruit businesses, manual handling still determines speed and continuity, while it is becoming increasingly difficult to find sufficient labour and requirements for quality and hygiene continue to rise. Use Case Dark Fruit Factory focuses on sorting and packing using robotics, vision technology and AI. What matters is the ability to assess the entire system based on factors that make a difference in day-to-day operations, such as throughput, handling variation, cleaning, downtime, maintenance and how data feeds back into control and insight.

What a knowledge partner like LIACS adds in this type of development

The Leiden Institute of Advanced Computer Science (LIACS) is part of Leiden University and focuses on research into data, algorithms and complex systems. In projects such as Use Case Dark Fruit Factory, the value does not lie in a single application, but in better understanding and measuring what is happening within the process.

 

As a centre for multidisciplinary research in computer science and artificial intelligence, LIACS can apply its expertise within practical systems, such as sorting lines, thereby accelerating technological developments.

Faster insight into what works in practice and what it requires from your organization

Standalone solutions often fail to match real-world conditions, as intake, sorting, packing and data are not properly aligned. By bringing development and practice closer together, it becomes clear earlier what runs reliably and where disruptions occur. This helps replace assumptions with observation and allows you to better assess what an automated line requires from your organisation, planning and delivery reliability. It also makes it clearer when scaling up makes sense and what is needed to get there.

The Handsfree Agrifood ecosystem accelerates progress and connects knowledge beyond the chain

NXTGEN Hightech Agrifood brings together parties that do not naturally meet within the traditional supply chain. With the addition of LIACS, additional expertise becomes available to accelerate developments and strengthen the connection between theory and practice.

 

This supports Use Case Dark Fruit Factory in taking next steps more quickly, by combining knowledge from outside the sector with practical experience and technology development from FruitMasters and Greefa. As a result, questions around applicability, maintenance and data use become tangible more quickly within a realistic working environment, enabling better-informed decisions on when to invest or scale up.