Project description
Using AI and data technologies for the bio-product industry
Climate change has affected many sectors, including the bioproduction industries and agriculture. Expectations are high. There is a growing need for solutions that would help these sectors deal with the current challenges and thrive. The EU-funded CLARUS project introduces such an innovative solution. Specifically, it will connect the sustainable paradigm of the food industry with artificial intelligence technology, offering these sectors the benefit of better communication, optimisation, automation, better control and efficiency. To do this, the project will assist and showcase several pilots that aim to reduce energy and water consumption using artificial intelligence and data technologies.
Objective
The CLARUS project aims to connect the Sustainable Paradigm in the food industry and AI-based applications, with the goal of developing a platform with high communications and processing capabilities, as well as the use of standardized open protocols and data models that will allow resource consumption assessment and traceability for food industry processes.
The project will be submitted under the call HE-CL4-DIGITAL-EMERGING-01-09: AI, Data and Robotics for the Green Deal and will target the non-robotic outcome. Currently, two pilots have been selected for validating the CLARUS solution. The first pilot focuses on the production of the frozen food, where energy and water consumption can be reduced using AI and data technologies. The other pilot focuses on the meat by-product production where the aim is to reduce the energy and maintain the quality of the products by optimizing the logistics of the by-products arrival. CLARUS ambitions include not only contributing to resource and logistic optimization methods through the two pilot solutions, but also making a more general contribution through the creation of a Green Deal Index (GDI).
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.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
-
HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
See all projects funded under this programme -
HORIZON.2.4.5 - Artificial Intelligence and Robotics
See all projects funded under this programme
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-IA - HORIZON Innovation Actions
See all projects funded under this funding scheme
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-CL4-2021-DIGITAL-EMERGING-01
See all projects funded under this callCoordinator
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.
20133 Milano
Italy
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.