Catalogue of Services

Our service thoroughly evaluates AI-based sensors by measuring key metrics like accuracy, mean squared error, and other tailored parameters. Testing is conducted in real-world environments where the sensor will be used, with reference data recorded or labelled for analysis. For certain sensors, we also utilise benchmark datasets to validate performance. We assess consistency under identical conditions, adaptability to environmental changes (e.g., light, temperature, or weather), and improvements in accuracy over time. Additionally, we measure power consumption, processing efficiency, and memory usage to ensure optimal resource utilisation. Response time between detection and action is evaluated for real-time applications, while extreme condition testing (e.g., bright light, rainy conditions, compacted soil) ensures robustness in challenging environments. We also verify data security and resilience against adversarial attacks. This comprehensive testing is essential, ensuring sensors meet high standards of precision, reliability, and efficiency. Benchmark datasets, standardised data collections used for validation, provide a reliable baseline for performance comparison. By addressing these aspects, our service ensures your sensor technology is ready for real-world deployment, delivering the performance and adaptability your application demands.

Testing of autonomous carrier & implement integration

Evaluating an agricultural implement on an autonomous carrier platform involves more than just numerical metrics; it includes a qualitative analysis of various aspects. We assess work quality by examining performance under different agricultural conditions, including, among others, different soil moisture levels, varying crop densities, and sloped terrain. Safety evaluations consider system robustness in various scenarios. Functionality assessments measure adaptability in dynamic environments, accounting for sudden weather changes and unexpected challenges.

Data analysis

Testing of biomass and yield estimation

Our testing service assesses the accuracy of your system's biomass estimation capabilities. You can opt to evaluate your model virtually using existing datasets, such as satellite or image data, or we can gather new field data with our field sampling equipment specifically for your needs. The main targeted crops of the biomass estimation are grassland as well as clover and alfalfa, but also grain crops are possible. As yield and biomass are highly correlated in grassland, both can be determined with this test. We provide results using metrics like Pearson correlation/R-squared and MSE/MAE to give you a clear picture of your model's performance.

Testing of field navigation

Our service evaluates the navigation accuracy and performance of autonomous systems directly in the field. We conduct comprehensive tests under real-world conditions to ensure that your system navigates precisely and efficiently. This testing is crucial for startups and SMEs developing innovative solutions that require dependable autonomous navigation capabilities.

Testing of spot spraying performance

Our spot spraying test service precisely checks how well your spraying system works under real-world conditions. The innovative approach allows for immediate documentation of the spray distribution without altering the spraying process. After application, we document the spread pattern and analyse this data to assess how effectively and precisely the liquid targets the intended areas. This enables you to fine-tune application techniques and evaluate herbicide effects, ensuring your spraying strategies are both efficient and environmentally conscious.

Testing of the person detection function of a robot

This service tests the robustness and accuracy of a solution to detect moving objects, such as people. We conduct these tests manually in the field to ensure that your device is evaluated under realistic conditions, providing you with reliable insights into its performance and areas for improvement. The test will be done under various conditions (different illuminations, rain, sunshine, diffuse light, etc.) to address the needs of your customers. You will receive a report of the system's capabilities as well as under which conditions the detection should be improved.

Testing of weeding performance

Our service offers comprehensive field trials to test the performance of your AI-based weeding system. Before the system operates, we record essential environmental data such as soil conditions and weather. We assess the crops and weeds either manually or with automated tools, and re-evaluate them post-weeding to measure the system's effectiveness. Our trials can be conducted on fields provided by us or at external locations of your choosing. This testing gives you clear, objective insights into your system’s performance and helps identify any potential issues under real-world conditions.