HORIZON-CL6-2027-02-FARM2FORK-01: IoT sensing, AI-ready data and digital twin models for water and nutrient decisions, semi-arid pilot (TAGEM, Türkiye)

The AI and Agricultural Technologies Research Center of TAGEM, the research directorate of Türkiye's Ministry of Agriculture and Forestry, would like to join a FARM2FORK-01 consortium as data, AI and pilot partner. We can lead a task or a work package on data infrastructure and models, or a pilot.

We can set up and operate IoT sensor networks in the field: soil moisture and temperature probes, weather stations and plant sensors, connected to a data platform in near real time. We can also integrate sensors developed by partners.

We combine the sensor streams with Sentinel-2, ERA5, drone images and farm records in documented pipelines, and prepare datasets that are FAIR and ready for AI use, in line with the Common European Agricultural Data Space.

On these data we build predictive models of crop water and nutrient demand, and digital twin components that turn them into irrigation and fertilisation recommendations. We validate the tools on local data that the developers have not seen, and add break-even and adoption analysis by farm type.

Our pilot region is the Konya basin in central Anatolia, a large cereal region with low rainfall and heavy pressure on groundwater. It is a demanding test for water and nutrient tools developed in the EU.

TAGEM is a partner in TRUAGDATA (Agriculture of Data partnership, 2027 to 2029), which works on trusted and AI-ready agricultural data. We are looking for a coordinator, sensor developers, soil, water and plant nutrition scientists, and farm management software providers.