JemsNew Emerging Technologies For Digitalized INnovative Agricultural Research (NET4DINAR)
Priority Axis 1: Cooperating for smarter programme area
Operation start date: 1 July 2024
Operation completion date: 31 December 2025
Budget: EUR 369.697,36
Number of partners: 2
Operation purpose and expected achievements:
The overall project objective is to advance existing agricultural research capacities in the region by combining a collaborative regional research platform based on two organizations with state of the art technological and AI based solutions. This will enable to conduct cutting-edge science and breeding that contributes to greener economy and climate change adaptation. The main achievements of the project will be:
– The further establishment of the Institutes’ cross-border cooperation through collaborative testing and advancement of wheat germplasm
– AI based solutions with the purpose of testing and developing climate resilient wheat germplasm
– Jointly developed solution: Improved wheat germplasm and speed breeding method
– Pilot action: Multi-location field trials carried out at six locations in Serbia and Croatia
– Project result: Improved speed breeding method will be integrated as a part of the official strategic document of Agriculture institute Osijek
Beneficiaries:
The main role of the Agricultural Institute Osijek (HR) as Lead Partner is to coordinate all project activities and actively exert activities relating to the specific objectives. LP AIO project team members will be involved in all activities. More specifically, LP AIO will be in particular involved in designing of field trials and statistical data analysis, carrying out the experiment with rain-shelter and developing speed breeding method using walk-in chamber.
Institute for field and vegetable crops Novi Sad (RS) as Project Partner will be engaged in all activities. More specifically, Institute for field and vegetable crops Novi Sad will be involved in carrying out stationary trials with different nitrogen levels and data preparation for external service where AI based models will be deployed.