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CORDIS

AI-powered platform for proactive grain quality monitoring for sustainable agro-industrial development

Objectif

The project develops an AI-powered, multiparametric system for early detection of spoilage processes in grain silos. Unlike today’s reactive thermometry solutions that detect problems only after overheating occurs, our innovation integrates temperature, humidity, CO2, VOCs and biogases (H2S, NH₃, CH₄) into a unified physics-informed analytical model. This enables forecasting biological activity 24–72 hours before critical conditions arise.
The system combines new sensor nodes, physics-informed AI models, a 3D digital twin of the grain mass, and an operator dashboard providing real-time analytics, early-warning alerts and energy-optimised aeration recommendations. The solution will be validated through laboratory tests and full-scale pilot installation at an operational grain elevator.
INNOVINNPROM LLC, will develop sensor integration, data collection pipelines, ML forecasting models (LSTM/GRU), IoT dashboard, pilot deployment and a scalable business model. The project aims to reach TRL 7 by the end of the implementation period.
Expected impact includes a 20–30% reduction of grain losses, 10–15% reduction of ventilation energy consumption, improved quality preservation and enhanced resilience of grain supply chains. The project will accelerate the digital transformation of agro-industrial storage infrastructure in Ukraine and the EU and create a commercially scalable solution with high patentability potential.

Champ scientifique (EuroSciVoc)

Mots‑clés

Programme(s)

Thème(s)

Régime de financement

HORIZON-EIC - HORIZON EIC Grants

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Appel à propositions

(s’ouvre dans une nouvelle fenêtre) HORIZON-EIC-2025-UKRAINIANTECH-01

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Coordinateur

Limited Liability Company INNOVINNPROM
Contribution nette de l'UE
€ 492 869,84
Adresse
Shevchenko street, building 5A
21036 Vinnytsia
Ukraine
PME
Oui
Type d’activité
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Liens
Coût total
Aucune donnée