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AgrospAI Data Space Demonstrator

Agrifood Data Space Demonstrator for Sovereign Data-Sharing and Artificial Intelligence Services.

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Participants

Logo Universitat de LleidaLogo Centro de Estudios PorcinosLogo deltaDAOLogo ArsysLogo Fruits de PonentLogo TragsaLogo Associació d'Agrupacions de Defensa Vegetal de CatalunyaLogo LeitatLogo Blockchain at the University of British ColumbiaLogo Centre Internacional de Mètodes Numèrics a l'Enginyeria - Buildings Energy and Environment GroupLogo ZertifierLogo Universidad de CórdobaLogo Instituto Tecnológico de Informática

Use Cases

Logo Monitoring and certifying environmental sustainability in pig farming

Monitoring and certifying environmental sustainability in pig farming

This is a use case focused on monitoring and certifying environmental sustainability in the pig farming sector. NetPig’s main goal is to facilitate the sustainability certification process for pig farmers, addressing the key challenges currently faced in this area. It also places strong emphasis on preserving farmers’ full control over their data. The system ensures data sovereignty, guaranteeing ownership and complete control by the producers.

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Logo Computer Vision for animal well-being in the pig sector

Computer Vision for animal well-being in the pig sector

This use case focuses on assessing animal welfare in pig farms through video analysis of pig pens, ensuring data sovereignty via AgrospAI. The surveillance footage, provided by the Centre of Swine Studies (CEP), is not directly accessible by data consumers; instead, it is processed through Computer Vision services in secure data computing environments. The service performs segmentation and tracking of pigs to generate metrics such as the time spent in feeding areas or their activity levels. Only these derived metrics are shared, ensuring that the original data remains under CEP's control.

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What is the Agrifood Data Space Demonstrator?

AgrospAI is a data space that enables the sovereign exchange of data and AI-driven services in the agrifood sector. It fosters collaboration among participants by allowing data to be processed without losing control over it, ensuring privacy and sensitive data protection while generating new value for the agrifood industry.

Compute-to-Data

Ensures data privacy and sovereignty.

Governance Code

Provides transparency, fairness, and sustainability.

FAIR Principles

Makes data Findable, Accessible, Interoperable, and Reusable.

Distributed Ledger Technology (DLT)

Enables traceability and auditability.

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Drives sustainability, productivity, and innovation through transparent governance and shared resources.For Agri-food sector
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Keep control of your data while contributing to innovative solutionsFor Data Producers
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Leverage advanced analytics tools to process and derive actionable insights.For Service Providers
Join a diverse network of participants, including data producers and consumers, computing service providers, AI experts, and agrifood innovators...For You

How It Works

Data Sovereignty by Design

Compute-to-Data ensures that data is processed securely without compromising ownership, leveraging proprietary and open data sources like Copernicus and Galileo for high-value insights.

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Incentivizing Participation

The demonstrator uses an electronic Euro (EUROe) to simulate data economies and employs smart contracts for secure and automated data and service monetization.

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Seamless Integration

Built on Pontus-X, an open-source data space ecosystem, ensuring interoperability with other connected data spaces.

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Technology Highlights

Aprendizaje FederadoColabora en modelos de IA sin compartir datos en bruto.
Tecnologías SemánticasMejora el descubrimiento e interoperabilidad de datos utilizando ontologías.
DLT y Contratos InteligentesPermiten transacciones seguras y trazabilidad.
Digital WalletsThey ensure participant sovereignty and secure identity management.
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Ministerio para la Transformación Digital y de la Función Pública

AgrospAI is funded by project TSI-100120-2024-28

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