Services

This service helps agrotech companies optimise and scale their existing software and AI solutions. We evaluate your current technology stack, data architecture, and system performance to identify opportunities for improvement and growth. Our expert team analyses key aspects such as system resilience, scalability potential, and integration capabilities to provide actionable recommendations. Through a systematic testing review process, we help you understand how your solution can handle increased [...]

With the development of AI models in most sectors of society, the importance of the data used to train and test these models has been an important concern for the AI supplier. Understanding the quality of the datasets used, especially in sectors such as the agricultural and agrifood domains where data can be rare, is thus a prerequisite to ensure the correct development of AI models and build trust regarding these approaches for society. This service aims to answer this challenge by assessing [...]

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 [...]

This service offers an in-depth evaluation of the environmental impact of digital technologies in agriculture, focusing on key areas such as resource efficiency, production sufficiency, ecological resilience, and animal welfare. Through script-based expert assessments and detailed environmental matrices, it systematically analyses the sustainability of each technology. The goal is to provide clear insights and guidance for adopting environmentally responsible agricultural practices.

Designing agricultural robots that operate safely and meet regulatory expectations is essential for market deployment and stakeholder trust. This service offers a structured risk assessment tailored to autonomous robotic systems in agriculture. It supports manufacturers by:  Reviewing system architectures and identifying potential points for improvement.  Reviewing estimation risk levels and appropriate safety integrity targets.  Ensuring alignment with safety standards such as ISO 18497, ISO [...]

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 [...]

This service will evaluate the feasibility of securely integrating third-party equipment or payloads related to the agrifood sector into unmanned aerial vehicles (UAVs). The goal is to assess whether such integrations can be done safely and efficiently, ensuring that the added equipment does not interfere with the performance and operation of the UAV. This service will place special focus on key integration concepts such as minimum functional requirements, communication interfaces, power supply [...]

This service will evaluate the feasibility of securely integrating third-party equipment or payloads related to the agrifood sector into unmanned ground vehicles (UGVs). The goal is to assess whether such integrations can be done safely and efficiently, ensuring that the added equipment does not interfere with the performance and operation of the UGV. This service will place special focus on key integration concepts such as minimum functional requirements, communication interfaces, power supply [...]

Our service is tailored to support AI technology providers, particularly in robotics and drone sectors, focusing on agricultural applications. We identify AI technologies that boost agricultural efficiency and productivity and offer integration support for embedding AI into agricultural robotics, drones, and precision machinery. Our guidance includes selecting effective AI tools and algorithms for specific agricultural challenges. Additionally, we offer comprehensive screening of AI technologies [...]

Our service provides end-to-end support for testing and data collection processes involving robotic or AI-driven systems. We assist in planning and conducting tests to ensure compliance with defined methodologies and objectives. Services include verifying system configurations, monitoring operations, managing technical infrastructure, and ensuring seamless data exchange. If necessary, we can provide access to modern agricultural machinery, such as advanced tractors or field robots equipped with [...]

This service performs automated testing of digital agriculture solutions – such as farm management applications, sensor-based platforms, or AI-powered decision systems – under simulated or controlled usage conditions. Test routines are adapted to the specific product under evaluation and reproduce relevant interactions, data flows or processes to verify correct functionality and operational performance. The approach enables systematic and traceable validation, supporting developers and [...]

The Benchmarking & Testing Suite for Edge Hardware Systems delivers a set of tests designed to evaluate the performance, reliability, and functionality of edge hardware and its components under various operational conditions. The tests can be compared to specific industry standards or the performance of other solutions available on the market. Examples of tests offered as part of the service: - Environmental tests: Assessing devices' resistance to extreme conditions, such as temperature [...]