overview
Subsidy and valorisation projects
Introduction
We create and join several subsidy projects
‘Drive Innovation’ is one of the four major themes that set the course for Lely’s strategy. With our worldwide network, more than 550 R&D employees, a growing patent portfolio (more than 1,600 patents), and an installed base of more than 50,000 robotic solutions, Lely is known worldwide as a leading high-tech robotics company with a strong focus on innovation. Currently, Lely supplies customers in 50 countries worldwide.
To maintain Lely’s pioneering position, we initiate and participate in various research projects together with other industry partners, such as universities, robotics developers, and suppliers. Government-supported subsidy programmes enable us to accelerate innovation and prepare our technologies for future regulatory requirements.
explanation
Why we do this
Knowledge utilisation
Utilise knowledge from research institutions to support Lely innovations.Inspiration
Stay up to date with state-of-the-art technologies and translate them into Lely solutions.Validation
Validate Lely innovations through testing and scientific research.Social impact
Incorporate societal challenges into the Lely roadmap.
Our facilities
Where we develop, test and validate

Where we test and validate new concepts
During the development of new products and services, Lely has access to several operational farms where testing and validation activities can be carried out. These test farms are suitable for concepts and prototypes that require closer supervision than market-ready Lely products.
For early-stage concepts, Lely works with several farms located near the Lely Campus. As products and services approach market introduction, testing and validation can take place at a larger network of farms around the world.

Where we develop new hard- and software

Where we test new hard- and software



take a look
The projects we are working on
ClickNL ROCO
Summary
ROCO develops a design framework for turning professional robots into reliable, intuitive, maintainable and socially acceptable products that integrate naturally into everyday work environments. The project translates academic knowledge on human-robot interaction into practical design principles, competencies and tools for creative professionals. It initially focuses on the agri-tech sector, using dairy farming case studies in collaboration with Lely, while also exploring applications in construction, healthcare and maintenance. Ultimately, ROCO aims to support the development and adoption of human-centred robotic product-service systems that facilitate effective interaction and collaboration between people and robots.Project durationJuly 2025 - June 2028Linkshttps://www.clicknl.nl/pps-projecten/roco/EIP Dairy Data Oriented Farming
Summary
The aim of the project is to enable the real-time integration, combination, and analysis of data from milking, feeding, manure management, and animal monitoring. By translating these data into automatic and proactive control of robots and systems, farm operations shift from reactive management towards autonomous operation. This enables individual ration optimisation for each cow, early detection of deviations in milk quality and animal health, and optimisation of manure quality and emissions.Project duration
January 2026 – December 2028Consortium
Firefly, Stokman Koudum, TriolietLinks
https://shorturl.at/lPXP2

Horizon 2020 DECIDE
Summary
DECIDE, a five-year Horizon 2020 project, develops and validates data-driven decision-support tools for the control and prioritisation of endemic contagious animal diseases in cattle, pigs, poultry and salmon. By combining animal-health data with epidemiological, economic and other analytical approaches, the project aims to provide early disease signals, support diagnosis and help evaluate appropriate control interventions, including their implications for disease spread, economic burden and animal welfare.Project duration
July 2021 – June 2026Consortium
UU, Københavns Universitet, Universiteit Gent, University of Liverpool etc.
Horizon Europe Dairy 4.0
Summary
This project develops and demonstrates the next generation of intelligent automated dairy farming technologies by integrating AI, advanced sensing, data analytics and robotics around automated milking and feeding. The project focuses on the individual cow, using technologies such as computer vision and other sensors to assess health, welfare and physiological status and translating these data into cow-specific decision support and automated interventions. Lely's work particularly covers integration with the Astronaut, individualised milking and pulsation optimisation, milk-access optimisation, the Animal Status Classifier, and validation of integrated solutions on commercial dairy farms. Ultimately, dAIry 4.0 aims to demonstrate trustworthy AI and data-driven solutions that improve dairy-farm operations, animal management, performance and sustainability.
Project duration
October 2023 – June 2027Consortium
Cyric, UAB, TU WIEN, ICCS, Alpes Lasers
Innovatiesteun Boerenbond – NH3
Summary
The project will install the Lely Sphere at a Flemish dairy farm, monitor its performance and conduct independent emission measurements to support recognition as a Flemish PAS solution. In parallel, monitoring and assurance methods will be further developed to demonstrate and safeguard emission reductions under Flemish regulatory requirements. Finally, demonstration days and communication activities will promote market uptakeProject duration
January 2023 – December 2026Consortium
-NGF RE-GE-NL
Summary
NGF RE-GE-NL is a large-scale Dutch innovation project that aims to accelerate the transition towards regenerative and economically viable agriculture. Together with 1,000 farmers and partners from research, industry, finance and the agricultural value chain, the programme develops and demonstrates regenerative farming practices, viable business models, monitoring approaches and enabling technologies. Lely contributes by developing and testing technologies for regenerative dairy farming, including solutions for manure and nutrient management, emissions reduction, robotics, sensing and data-driven farm management, with the aim of improving soil quality and nutrient cycling while strengthening the farmer's business model.
Project duration
September 2024 – December 2030Consortium
WUR, LNV, Friesland Campina, Cosun, Fedecom, Royal Eikelkamp etc.NGF NXTGen HighTech
Summary
The Netherlands has been a leader in the agri-food sector for years. We have an enormous amount of knowledge, a strong collaborative mentality and a focus on sustainability. The market is still growing significantly, but it faces significant challenges. To stay at the top, we must continue to innovate. Within this project Lely works on enhancing their self driving robots and its capabilities to work together and adjust to the dynamic environment they need to operate in.Project duration
January 2023 – December 2029Consortium
Sieplo, Trioliet, Wageningen ResearchOPZUID LDU
Summary
The Local Dairy Unit (LDU) project aims to develop a fully automated dairy processing system that enables dairy farmers to transform milk directly from the milking robot into value-added dairy products on their own farms. By creating an easy-to-use processing installation suitable for dairy operations, the project seeks to establish new revenue opportunities for farmers while strengthening local and regional dairy supply chains. The project combines technological innovation, supply chain renewal, and circular production principles to reduce on-farm emissions and minimise the environmental footprint of dairy products.Project duration
July 2026 - Jun 2029Consortium
Test farmers and suppliers
PPS LCD
Summary
How can the transition to an integrally sustainable dairy farming and dairy chain be achieved in the short term, with a significant reduction in greenhouse gas emissions per kg of milk central? The PPS wants to answer this question. The project aims to reduce greenhouse gas emissions per kg of milk on the dairy farms in their chain by 50%. This by analyses, making an approach and development of instruments.Project duration
January 2023 – December 2026Consortium
WUR, CONO Kaasmakers, Nestle, Unilever, Vreugdenhil, Agrifirm, ForFarmers etc.PPS RCDF
Summary
The consortium of this PPP aims to make dairy farms function more circularly, gradually reducing their dependence on external fertilizers. As a first step in that development, this PPP investigates the agronomic effectiveness of the various manure products from low-emission stables with a rapid separation of feces and urine, including the products that meet the RENURE criteria.Project duration
July 2024 – June 2027Consortium
WUR, Hanskamp, Slootsmid, NCMSBV Innovatiemodule
Summary
The broader SBV context is the development of technologies capable of substantially reducing emissions from dairy housing.With two projects, Lely is developing new barn concepts which focusses on the reduction of emissions. New barn floors, robots and other techniques will be developed and tested. In collaboration with farmers these techniques will also be validated in real live environments.
Project duration
January 2021 – December 2028Consortium
WUR, HASTKI TOWR
Summary
Shared and local decision making requires shared perception, the efficient use of available floor space, and the increase in overall robustness. The step change development is the autonomous but shared decision making of robots, to make it explicit what the shared goals of the robots are, and to decide locally about capability matching between individual robots, when mechanical problems occur, or differences in expected execution times.Project duration
January 2023 – December 2027Consortium
TU Eindhoven, Vanderlande IndustriesXECS Adapt
Summary
ADAPT (Application Development on commercially Available Photonic Technologies) aims to accelerate the adoption of integrated photonic sensing by bridging the gap between advanced photonic components and market-ready sensing systems for agrifood and healthcare applications. Both sectors increasingly rely on continuous, reliable, and data-driven monitoring, yet current optical sensing solutions remain bulky, costly, or insufficiently robust for deployment in real-world environments. While Photonic Integrated Circuits (PICs) offer strong potential for compact, sensitive, and scalable sensing, their translation into application-ready systems is still limited.
Project duration
January 2027 - December 2029
Consortium
Firefly, IMEC, PhotoDelta
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If you have any questions about our projects, values or other related topics, do not hesitate to contact us.