Catalogue of Services

The purpose of this service is to provide advanced testing for AI and navigation software in the agrifood sector. By leveraging AI-powered test case generation, the service aims to create enriched and realistic testing scenarios that address safety and performance challenges in the control systems of complex agricultural systems. It seeks to support companies in identifying performance issues, allowing them to optimise system efficiency and reliability, with the objective of reducing costs and improving overall system performance.

Testing of AI and robotics solutions leveraging edge computing and communication protocols in the IoT cloud-edge continuum. Can be a digital test (run on virtualised machines) or a physical test deployed either at the customer's premises or using the wide coverage wireless network installed in Trento valleys (Val d'Adige and Val di Non) for fruit crops (including but not limited to apples and grapes). FBK can support test design, proposing a benchmarking architecture to stress and monitor key components, helping to understand bottlenecks, allowing for better performance, lower bandwidth use, more reliability, and lower operating costs of tested solutions.

Agriculture is a local and specific business, where localisation of solutions is required, especially when it comes to language and interfacing with users. Albeit the diffusion of multilingual generative AI technologies (or large language models, e.g., GPT), these models are not optimised for a specific industry. We can test the performance of multilingual AI solutions in agriculture, highlighting bottlenecks that limit them. This allows for optimised localisation of solutions and quicker achievement of scalability at the European level.

Solutions in the agricultural sector that use weather forecasts can suffer from inaccuracies of standard weather service APIs, such as lack of granularity, no usage of in-field sensors, and low precision of generic models. Using FBK's expertise in advanced weather forecasting, we are capable of testing weather-related functionalities in solutions and proposing ways forward to take it to the next level: nowcasting, higher resolution, model optimisation for specific regions, etc.

Install your robotic or AI solution on a real vineyard to assess its performance or to foster its development with storage and workshop facilities. Benefit from our accompaniment and our guidance to find the better spots in the vineyard according to your experimental needs. We define the requirements together before you arrive and book for you the parcels and the workshop. We give you detailed information about the soil and all operations in the vineyard so you can choose the best spot to conduct your developments. You will be advised and get feedback on how your solution works.

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, ensuring data owners never lose control of who accesses their data. The services include consulting customers on the enrichment of their data system to adopt data sovereignty and trust solutions that make them contribute to and be part of the European data space strategy.

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.