Servicios

End-users like to see an objective validation of a technology in terms of added value (costs vs. benefits), technical specifications (accuracy, capacity, power requirements, etc.), and user acceptance (ease of use, gain, and joy of working with the technology). At Wageningen Research - Field Crops, we can validate your solution according to the agrifoodTEF protocols and deliver you a WUR white report on your technology.

The specialised service permits evaluating customer innovations in real-world Nordic. The RISE team focuses on evaluating AI and robotic solutions tailored for agriculture, ensuring the customer’s crop production sensors and decision support systems are rigorously tested. The service evaluates the innovation comprehensively, offering valuable insights for refinement and adaptation to ensure optimal performance and enhance market readiness. By customising testing procedures to the specific [...]

This service offers agrotech companies the opportunity to test and validate the results of smart irrigation technologies in real farming environments. The service includes installing the technology on-site and monitoring its performance under real-world conditions. Metrics such as water usage, crop yield, and system efficiency are analysed to provide a comprehensive validation of the technology's impact. This hands-on evaluation ensures that companies can implement these systems with confidence [...]

The service provides essential real-world testing for UAV (Unmanned Aerial Vehicle) innovations in agriculture, helping customers understand how UAV solutions perform in actual farming conditions, specifically in diverse Nordic climates. By assessing UAV's effectiveness, the service provides valuable insight that can be used to refine and adapt the innovation, ensuring the product is market-ready and meets the specific needs of the agricultural sector. The service’s practical approach delivers [...]

This service evaluates the accuracy and effectiveness of AI-driven weed detection systems, ensuring their accuracy in real agricultural conditions. By combining field trials (both in experimental and real-farm fields), drone-based imaging, and ground truth validation, the service assesses the system’s ability to detect weeds with high precision, minimising false positives (incorrect weed detection) and false negatives (missed weeds). The service also validates the system's adaptability to [...]

Evaluate your agrifood innovation in authentic Nordic conditions with our personalized service. We assess your product through the lens of potential customers, providing valuable insights for refinement and adaptation. By tailoring the testing process to your specific innovation, we deliver clear, data-driven feedback to help you scale effectively. Whether your goal is to validate, enhance, or launch your innovation, our hands-on approach equips you with the knowledge and confidence you need to [...]

Validation of fruit detections, diameter estimation, and yield estimates using artificial intelligence, in particular computer vision techniques. The service will help the solution provider check its performance using reference datasets or experiments conducted in testing fields. The service might also include the generation of reference datasets and expected detection, diameter measures, or yield values, which can be used both for validation and training of the artificial intelligence solution [...]

Analysis of collected data in the context of AI agriculture product or service development and opportunities for data-value extraction via integration within the AgrifoodTEF DataSpace. We can help customers understand the value of their data (monetary and not monetary) and channels to offer it to potential users/buyers. By analysing the offer and demand in relevant Data Spaces, we suggest the optimal way to describe metadata and adopt the right technology implementations to make data visible [...]

IFV has national French experts that cover all the fields from vine plant grafting to wine bottling, including crop protection, agronomy, and machinery. If you think of a use case with added value brought by AI, contact us to define the best way to collect quality data in the vineyard or in the cellar. We will guide you through the data collection process, finding the best places and the right moment.

Software systems (like AI and robotics systems developed for agrifood environments) are usually developed using third-party libraries. Regular updates on both proprietary and third-party libraries are strongly recommended to address potential vulnerabilities in the code. The vulnerability scan for agrifood software systems makes it possible to find out if the developed system has cybersecurity vulnerabilities in its code before its production deployment. In case vulnerabilities are found, the [...]

The service focuses on supporting the development of optimal wireless communication infrastructure for the agricultural sector. By leveraging technologies like Wi-Fi, Bluetooth, cellular networks, and satellite communication, it enables real-time monitoring, data collection, and remote control of agricultural equipment and devices. This infrastructure enhances efficiency, productivity, and sustainability, leading to higher yields, lower costs, and more sustainable farming practices across large [...]