Objective
Meat industry generates an annual turnover of €203b in the EU-28, and employs 560,000 people. The slaughtering sector plays a key role within the meat industry, being represented by more than 4,500 companies, and generating a turnover of €73b.
In a context of a strong market competitiveness, slaughterhouses are striving to minimize production costs and maximize the value of their raw meat products by improving their segmentation. In particular, meat processors increasingly request pre-classified products according to lean content. This demand is raising the interest of slaughterhouse industry for more accurate and reliable technologies to automatically grade animal carcasses according to the lean content in their primal cuts. Existing grading technologies in the market have limitations in terms of performance, robustness and cost. Moreover, they rely on measuring morphological parameters of the carcass to predict lean content, which makes the calibrations strongly dependent on the animal breed, and compromises the reliability of the carcass classification.
Based on previous knowledge established in a former European Research Project, we aim at validating a novel carcass grading technology, which is able to accurately provide a direct measurement of the lean content in the carcass and its primal cuts, thus being independent of breed variations. The technology under development offers additional advantages over competing technologies in terms of cost, and easiness of integration. The estimated potential market for GM-SCAN is around €150M, and through our established network of customers in the sector we expect to be able to generate €13.8M after 5 years.
GM-SCAN technology has been already demonstrated at pig slaughterhouses (TRL7). Through the proposed Phase I project, we aim at achieving the same stage of development for the beef application (currently at TRL6 – pilot line level), and to elaborate a business plan prior to undertaking the product development phase.
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.
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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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H2020-EU.3.2. - SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy
MAIN PROGRAMME
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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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.
SME-1 - SME instrument phase 1
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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) H2020-SMEInst-2014-2015
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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.
Dundalk
Ireland
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.