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MAX RUBNER INSTITUT BUNDESFORSCHUNGSINSTITUT FUR ERNAHRUNG UND LEBENSMITTEL
Country: Germany
10 Projects, page 1 of 2
  • Funder: European Commission Project Code: 232603
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  • Funder: European Commission Project Code: 605621
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  • Funder: European Commission Project Code: 871631
    Overall Budget: 7,784,900 EURFunder Contribution: 7,536,300 EUR

    Uptake of advanced robotics and automation in the Agri-Food sector, specifically in meat processing, has been stifled due to the perceived high cost as well as the lack of flexibility, robustness and scalability to suit different volumes, smaller in particular. This conflicts with recommendations that governments across Europe should encourage greater food system efficiency and security. Pioneers in Norway (NMBU/Animalia) and Denmark (DTI) have been working to address this issue and have created a new automation concept for the meat sector: the Meat Factory Cell (MFC). The MFC today is simple, relying upon the intelligence of human experts to complete complex tasks. However, meat processing plants are amongst the lowest quality working environments in Europe, making autonomy a must. RoBUTCHER aims to develop a cognitive MFC, capable of autonomy. To achieve this, RoBUTCHER has the following underpinning objectives: (1) Assessment of social, legislative and best practise meat industry requirements; (2) Development of novel technology modules for autonomous cutting trajectory planning, and integration with cooperative human–robot interfaces; (3) Creation of enabling intelligent tools to evaluate the system, chiefly for cutting and handling; and (4) Industrial scale pilot of the cognitive MFC. Core robotic technologies are integral to RoBUTCHER, where the main emphasis is AI and Cognition, but natural overlap exists to include Cooperative Human-Robot Interfaces and Cognitive Mechatronics. Today there are no suitable “off-the-shelf” solutions. The ambition for RoBUTCHER is to develop a system to TRL6, using existing MFC infrastructure within the Consortium as a catalyst for research and innovation. Successful delivery of the project will provide the robustness, flexibility and scalability that small and medium meat processors require to lower the technical barriers they face in adopting robotic automation, which would improve job quality and food security in Europe.

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  • Funder: European Commission Project Code: 223254
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  • Funder: European Commission Project Code: 101137127
    Overall Budget: 8,207,990 EURFunder Contribution: 8,185,430 EUR

    Micronutrient (MN) deficiency is a form of malnutrition that occurs due to low intake and/or absorption of minerals and vitamins, with adverse consequences for human development and health. Children, adolescents, women of reproductive age (including pregnancy) and older adults (representing ~70% of European society) as well as immigrant/ethnic minority groups and those affected by social inequality or poverty, are at risk of MN deficiencies. While addressing this public health problem is a priority, it is not possible until data on the prevalence of MN deficiencies across the EU population and the causes for these deficiencies is available to predict and identify those most at risk. Without this information, discussions on how to meet dietary requirements for the priority MNs of public health concern, and improve their status, take place in a vacuum. The Zero_HiddenHunger_EU project aims to 1) provide estimates of the true prevalence of MN deficiencies, based on priority biomarker and MN intake data in European populations and their associated health costs, focused on high-risk population subgroups, and 2) provide the best possible evidence to develop context-specific, tailored food-focused solutions to ensure adequate supply of vitamins and minerals from diets from sustainable sources. The consortium will focus the research effort around existing high-quality data resources and biobanks from diverse and representative population groups around Europe, supplemented by targeted studies in under-represented groups, maximizing research investment and adding value. Using high-throughput biomarker and advanced data analytical and modelling techniques, Zero_HiddenHunger_EU will deliver credible evidence enabling policymakers and food system actors to deliver food-focused strategies to eradicate MN deficiencies from Europe.

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