Services

In order to train, test, and validate AI applications, annotated datasets are needed. Wageningen Research - Field Crops can provide FAIR datasets consisting of high-quality raw images, annotations, and metadata on crops, weeds, diseases, and pests. At the moment a dataset on volunteer potato in sugar beet and onion is available. Let us know in which other datasets you are interested.

The Digital Maturity Testing service provides organisations with a clear picture of their current level of digitalisation and organisational readiness. Using a structured methodology, the service evaluates both organisational and digital maturity across multiple dimensions, including data governance, IT infrastructure, and software architecture. Interviews are conducted with key staff members on-site, ensuring that insights are grounded in the operational context of the organisation. The service [...]

Data interoperability in the agrifood sector hinders innovation and development due to the need for many custom solutions to share data. This service helps agricultural organisations improve how they handle and share data across the entire food value chain. By implementing standardised reference data models like rmAgro (https://rmagro.org), we help to optimise your data flows and make your information systems work better together. Our team at Wageningen Research provides expert guidance in data [...]

WUR and Agro-Innovation Centre De Marke have extensive knowledge of the dairy market developments in the Netherlands and Western Europe. They are able to advise customers of these market trends, can do specific market research, and can support doing a proper business model analysis for the specific knowledge. We have dedicated business developers and a large group of specialists on the team. Additionally, the large farmers network of Agro-Innovation Centre De Marke can be used to organise [...]

Provision of practical and scientifically based input and collaboration in designing robotic AI systems and components for livestock farming solutions. Receive practical and scientific input for the (re)design of sensors and robotics; help with decision support on dairy farms that meet agro-ecological F2F criteria, located in Hengelo Gld. and Leeuwarden. Access to high-end end-users in a country takes lots of time and effort. Thanks to the multiple regional experimental farms, Wageningen [...]

WUR experts are available for analysis or advice to extract information from large and multiple-source data sets as provided with the service “Provision of specific and long-term data sets for arable and livestock farming data from the Farm of the Future experimental farms (S00132).” It is also possible to analyse datasets of clients that are used for the development of sensors, AI, and robotic solutions.

The Economic Assessment service offers stakeholders a structured evaluation of the financial viability of agricultural robotics and automation. The service goes beyond harvesting robots alone and can be applied to a wide range of robotic applications, including weeding, pruning, monitoring, transporting, and processing. Using a transparent cost-benefit model, it accounts for fixed, variable, and indirect costs, as well as expected benefits such as labour savings, efficiency gains, and [...]

What are the ethical, legal, and social aspects (ELSA) of AI-driven technology in agri-food? Mitigation of potential risks and finding opportunities are easier by identifying ELSA aspects in early development stages, when the technology is still in the making. Examples of ELSA aspects are autonomy, transparency, and bias, but also data privacy and other legal aspects. How does your AI technology deal with ELSA aspects? A combined survey and interview help AI developers to identify opportunities [...]

This service utilises field spectrometers to measure the spectral properties of physical environments, such as barns, greenhouses, or outdoor fields. By capturing detailed spectral data, we help you develop, improve, or validate your agri-food solutions, whether for monitoring plant health, optimising lighting conditions, or enhancing environmental control systems. The measurements provide insights into how different wavelengths of light interact with the environment, enabling fine-tuned [...]

We provide a next-generation 3D plant analysis service designed to accelerate testing by turning raw plant scans into reliable, quantitative insights. Instead of relying on slow and error-prone manual measurements, our system uses advanced algorithms to automatically extract precise plant traits—helping you compare genotypes faster and more consistently. These scans are very useful to test your AI in plant segmentation. From a single scan—whether collected with research platforms like NPEC’s [...]

NPEC will enable you to make accurate, high-throughput studies of plant performance possible in relation to relevant biotic (diseases, bacteria) and abiotic (light quantity and quality, nutrients, temperature, moisture, soil pH and atmospheric CO2 level) factors across a range of scales. The experiments can be performed in a greenhouse compartment with an extensive set of sensors to measure the plant and it’s environment. In growth rooms smaller scale experiments can be performed, with a special [...]

The service offers a cutting-edge Virtual Greenhouse Simulation Service—a photorealistic digital environment designed to accelerate the development and testing of robotics for greenhouse applications. This configurable virtual greenhouse replicates real-world conditions, including size, lighting (both natural and supplementary), and row spacing, enabling clients to tailor simulations to their specific crop production setups. The implementation focuses on existing crop models, combining realistic [...]