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Useful Documents!

Open Call 1 Objective

The objective of the AGRARIAN – Open Call 1 is to extend AGRARIAN scope and technology by inviting startups, SMEs, universities and research organizations to submit proposals that harness cloud, edge, and mixed-model technologies to address the challenges in agriculture, focusing on AI and IoT innovations. The goal is to find solutions that can be tested and validated within the AGRARIAN framework to improve efficiency, sustainability, and environmental friendliness in farming. Proposals should include new methodologies for data collection and analysis and innovative edge/fog computing applications to process data on-site. The proposed technologies should be related to one of the three pilots (Livestock, Field Crops, and Viticulture)

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1st Open Call Related Info available now!

AGRARIAN aims to offer:

Smart connectivity for secure access to any of the relevant network infrastructure options; Ability to dynamically meet latency, configuration and other requirements of each of the different network technologies; Integration of edge and cloud for a transparent infrastructure to organize and deploy software components on demand; Uniform management of distributed digital infrastructure for different edge types, cloud components and services; Dynamic deployment and provisioning of services and applications that are time- and location-dependent; Management of data to maintain data security and optimize data processing; Optimisation of operations in terms of energy consumption by enabling new tools and apps for field operations and resource use; A strong ADSS (Agricultural Decision Support System) tool that will take into consideration all specificities of farmers in rural communities and will propose the appropriate technology for the last mile and the corresponding business model to maximize benefit for all actors. AGRARIAN ADSS will be data, communication and knowledge driven allowing the development of apps and tools as per user’s needs. ADSS will rely on a simple GUI, re-planning components and prediction abilities so adopt to dynamic situations.

Background information on AGRARIAN project:

AGRARIAN aims to develop an open and dynamic environment by realizing an ecosystem where distributed resources and services will be programmatically aggregated on demand to support IoT/edge data driven application workflows. AGRARIAN will develop a new programming environment and tools for the automated refactoring of existing applications and data management frameworks so they can operate in edge-based deployments as well as new edge-native programming abstractions and middleware. Based on widely accepted open source technologies and adoption of container-based technologies and orchestrators AGRARIAN will provide Seamless IoT Device-Edge-Cloud layered environment able to support dynamic computing at the continuum and will utilize state-of-the-art Cloud Native Technologies that will support and extend its capabilities towards designated ML-related applications as well as edge proxies, service orchestration and management tools. Such technologies include the use of Kubernetes, tailored to accommodate specific requirements of the constrained environments of CubeSats (e.g., KubeEdge, k3s). AGRARIAN edge AI ecosystem based on the Hybrid Network architecture will rely on an emulated network of CubeSats running portable edge-AI applications and forming a swarm of intelligent decentralized nodes. Figure 1 depicts the AGRARIAN Ecosystem and main Research Pillars.

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