agrifoodTEF
Initial situation
Agricultural technology has undergone dynamic development in recent years. The use of artificial intelligence (AI) methods has enabled the development of highly specific technologies. For example, a camera system can be trained to distinguish crops from weeds, or satellite data can be used to improve yield forecasts. In robotics in particular, AI systems are required for autonomous vehicle control.
Objectives
To promote sustainable and efficient food production, AgrifoodTEF offers a wide range of different services for companies to help them test and validate their product developments in the field of AI & robotics under real conditions. This offers companies a unique opportunity to take their product or application idea a decisive step further towards market maturity.
The project partners form a network that meets the heterogeneous conditions in the agricultural and food production sector throughout Europe. The national TEF nodes, as the national consortia are referred to in the project, offer services that are optimized for the respective specialist areas and territorial needs. In addition to physical testing and validation options, e.g. in the form of field tests or on machine test benches, the range of services also includes virtual services, e.g. the testing of algorithms based on various data sets, which can be carried out completely remotely and are therefore available to customers from all over Europe at any time.
“Today, we face many challenges related to food security and climate change that no single organization can tackle alone. AgrifoodTEF aims to help bridge the gap between promising innovations from European technology companies and ready-to-use product solutions for the agricultural sector that bring tangible results to farms. Testing these innovative technologies in real-life conditions is key to facilitate the market introduction of AI and robotics solutions that lead to more efficient and sustainable food production.” (Raffaele Giaffreda, Fondazione Bruno Kessler, agrifoodTEF project coordination).