Open call pilots
Pilots for food safety
FishTell: Revolutionizing Fish Freshness Assessment with K-Value Technology
FishTell —a pioneering initiative with a special emphasis on the critical K-value parameter — is an innovative platform designed to assess fish freshness in real time using Near-Infrared (NIR) spectroscopy, Artificial Intelligence (AI), and blockchain technology. This cloud-based solution provides precise and reliable freshness predictions, ensuring the quality and traceability of seafood throughout the supply chain. The platform is scalable, secure, and user-friendly, offering retailers, restaurants, and regulators valuable insights into fish freshness and data integrity.
Parties involved: Tellspec
Honey.AI: AI-based microscopy for Honey authenticity through pollen analysis
Honey.AI is an AI-powered system designed to detect honey fraud by automating pollen analysis through a microscope. The tool facilitates on-site, rapid, and cost-effective analysis without requiring expert intervention. The pilot targets the verification of botanical and geographical origin, improving the transparency and authenticity of honey. The Honey.AI system includes a microscope, AI classifier, app integration, and QR-code-enabled traceability features. The pilot is being implemented in collaboration with experts and users across the EU and non-EU regions.
Parties involved: Microfy.AI
PURE FOOD: The disinfection of raw vegetables washing water that ensures food safety
The PURE FOOD pilot project focuses on developing and validating an innovative disinfection technology for the fresh-cut vegetable industry. By utilizing photo-electrocatalysis and a predictive microbiological risk control algorithm, the pilot aims to reduce food waste, enhance food safety, and extend the shelf life of vegetables. The technology eliminates the need for chemical additives, providing a sustainable solution for the industry. Testing and validation have been carried out in collaboration with Linea Verde de Navarra, ensuring the system’s scalability and adaptability to industrial environments.
Parties involved: Urtech Water
INKtelliPack: Embedding intelligent reactive inks into a QR code Label
TheINKtelliPackpilot integrates smart ink technology with AI algorithms to revolutionize food packaging and sealing. It focuses on enhancing food safety, transparency, and integrity through a CO2 sensor ink system, providing a cost-effective, real-time freshness verification solution. The pilot supports supply chain improvement by allowing food manufacturers to incorporate digital characterizations of CO2 levels into their products.
Parties involved: ColorSensing
Pilots for sustainability
Agri-Cluster: Collaborative DSS for the Transparency and Sustainability of the Agricultural System
Winegrowers face increasing pressure to adopt more sustainable practices while maintaining productivity and quality. However, traditional Decision Support Systems (DSS) are often fragmented, single-user, and limited in adaptability. Agri-Cluster is an innovative collaborative platform designed for viticulture that integrates AI-powered DSS, diverse IoT sensor networks, and a secure, shareable data space to enable real-time, collaborative decision-making for fungal disease and pest management.
Parties involved: Primo Principio
AgriSyncAI: Transforming Agri-Food Supply Chains with Predictive Intelligence and Sustainability Focus
AgriSyncAI is an AI-powered platform designed to optimize agricultural supply chains by integrating consumer sentiment analysis, predictive modelling, and real-time data insights. By focusing on transparency and sustainability, it aims to improve market forecasts, reduce food waste, and enhance consumer trust. The project involves multi-country pilots in Germany, the Netherlands, Spain, Lebanon, Italy, and Portugal, with applications spanning various crops and potential for cross-industry adaptation.
Parties involved: Agricom
TunaTech: Tuna fishing efficiency and traceability system
TunaTech aims to revolutionize fisheries management by integrating blockchain technology with AI to ensure transparency, sustainability, and traceability in tuna fisheries. The project implements a real-time traceability system, providing end-to-end transparency from vessel to consumer, promoting sustainable practices and reducing waste. The system combines on-board data collection, edge AI processing, and cloud-based analytics, with the goal of meeting international certification standards such as MSC and GDST.
Parties involved: Zunibal
Pilot for health
B-Fresh blockchain
B-Fresh is a digital infrastructure that uses blockchain to improve traceability, transparency, and trust in short food supply chains. Piloted in the Netherlands, the solution helps caterers and local suppliers share product journeys with consumers through a digital passport and QR code system. By integrating blockchain technology with a user-friendly interface, B-Fresh builds direct links between producers and consumers, making food origin, quality, and sustainability visible and verifiable. The pilot includes onboarding regional actors, testing traceability tools, and refining a transparency framework co-developed with researchers.
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