AGRARIAN 1st Open Call aims to attract and engage SMEs/Universities/Research Centers/NGOs with expertise to cloud, edge and mixed technologies and services related to agriculture, which will be tested and validated within AGRARIAN framework. Proposals are expected to address innovative solutions/services, AI based applications and new IoTs, related to one of the three pilots (Livestock, Field Crops, and Viticulture).
The proposed Applications/Solutions should:
– be in line with AGRARIAN research topics and fall into one of the three Pilots (Livestock, Field Crops and Viticulture pilots).
– be able to be tested and evaluated on one of the provided AGRARIAN testbeds (see below) or exploit the agricultural dataset provided by AGRARIAN
– be edge based deployments, i.e. run at the edge nodes of the AGRARIAN testbeds infrastructure
– address real-world agricultural problems
– have high agricultural and social impact.
Precision farming, unmanned ground/aerial vehicles, livestock, soil and crop AI monitoring systems, sensors and IoT devices/applications, innovative irrigation systems, and weather prediction tools, digital platforms, mobile applications, and data analytics tools, aerial/ multispectral cameras, animals’ body sensors, Unmanned Aerial Vehicles (UAVs), decision support systems
AGRARIAN offers 4 testbeds :
– Testbed 1- Geosynchronous Satellite Communications with EDGE capabilities: Satellite emulation testbed with edge capabilities for GEO telecommunication satellites, based on OpenSand platform. Edge may be on board the satellite or at the ground gateway, provided by NCSRD.
– Testbed 2- Non-Geosynchronous Orbit (NGSO) Satellite
Communications with EDGE capabilities: Emulation testbed for small LEO constellation with on board edge computing capabilities supporting IoT scenarios. Edge computing part is based on service modeling, while satellite component reproduces realistic dynamics, provided by DLR.
– Testbed 3- Satellite Edge AI Compute Emulation Testbed: Testbed to evaluate AI models on emulated satellite compute hardware. It provides the capability to run AI models on an edge compute hardware, which is fully representative of an edge compute board for use on CubeSats. It enables the evaluation of the performance, accuracy, and readiness of new
applications and how these vary when deployed on a space edge AI platform, provided by UBO.
– Testbed 4- SEED-5G: SpaceEdge AI-Enabled Delay-Tolerant NB-IoT Platform: Non-Terrestrial Network NB-IoT end-to-end testbed, supporting edge/AI applications running on a Linux-based computer which emulates the satellite, provided by SATEL.
– Agricultural Datasets: Thermal & Multispectral EO Dataset (LANDSAT) & associated historical weather and land elevation data (e.g. weather stations, sensors, aerial camera etc.) to test and evaluate the proposed Application/Solutions (including 26000 Hectares of vineyards, 3 TB of sensors, weather, map data etc, >70 TB of soil moisture content dataset.
– Access to the AGRARIAN testbeds and datasets through VPN connections.
Project proposals should be in line with the Governance Vision and the AGRARIAN research topics identified during the project (WP2 and WP3). Proposals should determine the degree to which the use of AGRARIAN platform is beneficial for their services/products. In this respect they should include KPIs to measure the technical and economic benefits of the proposed services/solutions/technologies/IoTs in terms of optimization of operations, energy consumption, response time, accuracy, data security etc.
Each selected project will last up to 6 months and receive 50.000€.
Consortium applications are not permitted in this call; all applications must be submitted by a single entity.
Applicants need to be Start-up/SME/University/Research Center/NGO/foundation. Only applicants legally established/resident in EU Member States and Horizon Europe Associated Countries are eligible for funding.
The Subgrantees funded within AGRARIAN project will be the unique owners of the technologies created within the framework of their sub-granted projects. Parts of their works will be requested to be public for AGRARIAN dissemination purposes.
