Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences internet internet of things
- agricultural sciences agriculture, forestry, and fisheries agriculture grains and oilseeds
- social sciences economics and business business and management business models
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
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HORIZON.3.1.3 - Additional EIC activities
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-EIC - HORIZON EIC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIC-2025-UKRAINIANTECH-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
21036 Vinnytsia
Ukraine
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.