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gmSCAN

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Automatic scanner for determing lean meat distribution in pig carcasses

The slaughtering sector in the EU28 plays a key role in the meat industry. It embraces over 3,300 pig abattoirs, which process yearly 252 million pig carcasses, and generate a turnover of €73b. In a context of strong market compet... ver más

31/05/2018

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

G M STEEL FABRICATORS LIMITED No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2018-05-31

SFS-08-2015: Resource-efficient eco-innovative f... Scope:Specific Challenge: To remain competitive, limit environmental degradation and optimise the ef...

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1 Participantes

1.09M€ | Lider

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Duración del proyecto: 26 meses Fecha Inicio: 2016-03-17
Fecha Fin: 2018-05-31

Líder del proyecto

G M STEEL FABRICATORS LIMITED No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The slaughtering sector in the EU28 plays a key role in the meat industry. It embraces over 3,300 pig abattoirs, which process yearly 252 million pig carcasses, and generate a turnover of €73b. In a context of strong market competitiveness, and driven by the demand of meat processors, abattoirs are increasingly interested in new strategies to improve their product segmentation, which allow them to optimize the production value. The segmentation of fresh pigmeat products is mainly performed based on its lean meat content. Based on this parameter, and according to EU regulations, all carcasses are routinely sorted following the SEUROP scheme. While the SEUROP classification is useful for defining an objective payment criterion for the farmer, it is insufficient to perform a segmentation of the production and to estimate the real market value of the carcass. In particular, the SEUROP classification does not take into account the lean meat content of the primal cuts (ham, loin, belly and shoulder). Over the past decades, automatic pig carcass grading systems have risen the interest of the sector, due to its potential to improve the accuracy of meat segmentation. However, existing commercial solutions present limitations in terms of (1) limited accuracy and robustness, when dealing with different pig breeds or genetic variations; (2) complex integration in abattoirs; and (3) significant system and integration costs. We aim at addressing the market demand for a more accurate, reliable and cost-competitive solution to accurately grade and sort carcasses according to the lean meat content in the four primal cuts. The proposed technology was previously developed in a Collaborative EU Research Project, which allowed validating the technology at pilot line level (TRL7). After defining a detailed business plan, which was carried out during the Phase I project, we aim now at obtaining a qualified system (TRL9), and to obtain the SEUROP certification at two key target markets.

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