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Aquaculture Smart and Open Data Analytics as a Service

Objective

AQUASMART’s objective is to enhance innovation capacity to the aquaculture sector, by addressing the problem of global knowledge access and data exchanges between aquaculture companies and its related stakeholders. Offering aquaculture production companies the tools to access and share global open data and strong data analytics in a multi-lingual, multi-sector and cross-border setting strengthens their competitiveness and growth potential. Experienced research institutes that participate in the consortium as technology suppliers and will transfer their solutions to the aquaculture stakeholders in the consortium. The data collected in the AQUASMART open data cloud is suitable to be reused in other industrial domain if needed, (e.g. environmental or transportation data), providing a cross-sectorial setting to the provided solution. The AQUASMART multi-lingual adaptive eTraining program, assures that staff receive the proper training and assures the transfer of the AQUASMART innovations are sustainable. AQUASMART will have a very positive impact on the environment by helping companies to better estimate daily biomass, optimize feeding rates and management practices. This will improve the FCR (Feed Conversion Rate), which means less feed will be provided to the fish and therefore, less organic material and energy are consumed for the production of the feed. AQUASMART also helps the companies to reduce mortalities, which will have a further positive impact on environment. On the social level, AQUASMART contributes to the development of highly skilled workforce through online training programs. The improvement of the efficiency and profitability of the businesses, together with the reduction of the environmental impact will contribute to the increase of the production and the generation of new jobs in the sector.

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.

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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)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

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.

IA - Innovation action

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-ICT-2014

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Coordinator

SOUTH EAST TECHNOLOGICAL UNIVERSITY
Net EU contribution

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.

€ 806 250,00
Address
CORK ROAD CAMPUS WATERFORD
X91 K0EK WATERFORD
Ireland

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Activity type
Higher or Secondary Education Establishments
Links
Total cost

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.

€ 806 250,00

Participants (7)

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