Project description
New cloud-enabled storage system to predict food safety
The contamination of food is a worldwide concern for public health and a cause of international trade problems. Researchers and industrial and food authorities representing the agro-food industry in the EU and China will work together to develop an integrated framework for real-time detection, assessment and mitigation of biological, chemical and environmental contaminants throughout the food supply chain. This collaboration is part of the EU-funded DiTECT project, which will develop a standards-based, modular, Big Data-enabled platform capable of accurately predicting food safety parameters of a given food product based on data collected in real time via cost-efficient sensors relevant to crop, grain storage, livestock and, finally, in the food supply, incorporating blockchain processes. The project’s service will be demonstrated in four real-world pilots with the active engagement of 21 EU Member States.
Objective
"""DiTECT will develop an integrated framework for real-time detection, assessment, and mitigation of biological, chemical and environmental contaminants throughout the food supply chain. Bringing together research, industrial and food authority partners representing the agro-food industry in the EU and China, DiTECT aspires to establish the foundation for future food safety monitoring platforms, through the development of a standards-based, modular, Big Data-enabled platform, capable of accurately predicting food safety parameters of a given food product based on data collected in real-time via cost-efficient sensors, at crop, grain storage, livestock and finally in the food supply, incorporating blockchain processes. DiTECT integrates multidisciplinary research teams from fields such as microbial and spectroscopic fingerprinting technologies; emerging ICT-based food tracing systems; signal analysis and data mining. Microbial profiling will be attained via conventional microbiological analyses in tandem with advanced molecular methods (e.g. NGS-based metagenomics), while spectroscopic profiling will be based on spectral data generated using appropriate rapid, non-invasive methods and sensor devices. DiTECT recognizes that current food-chains are lacking a complete snapshot view of food safety at the crop/livestock and finished product levels, and so foresees the development of a cloud-enabled storage system for all data corresponding to different insights of product-specific safety aspects, to be integrated into. The novel food safety services will be demonstrated in four (4) real-world Pilots with the active engagement of 21 EU and 13 CN partners, using real datasets to validate efficiency improvements. The carefully structured work plan embodies a “multi-actor” approach to prototype and validates a ready-for-take-up framework of significant exploitation potential for the agro-food industry.""
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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.
- agricultural sciences agriculture, forestry, and fisheries agriculture grains and oilseeds
- natural sciences computer and information sciences computer security cryptography
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- agricultural sciences animal and dairy science domestic animals animal husbandry
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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)
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.
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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.3.2.2.3. - A sustainable and competitive agri-food industry
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H2020-EU.3.2.2.2. - Healthy and safe foods and diets for all
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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.
RIA - Research and Innovation action
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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-SFS-2018-2020
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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.
118 55 ATHINA
Greece
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Participants (34)
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MK43 0AL Cranfield - Bedfordshire
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271018 TAIAN
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80138 Napoli
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171 21 NEA SMYRNI
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210095 NANJING
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2730 Herlev
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121 32 Peristeri Attikis
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200093 SHANGHAI
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4 Dublin
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546 25 THESSALONIKI
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310027 HANGZHOU
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2234 LATSIA-NICOSIA
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346 00 NEA ARTAKI
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200433 SHANGHAI
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6200 MD Maastricht
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1448 Nicosia
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266071 QINGDAO
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671 00 XANTHI
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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.
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.
121 31 PERISTERI ATHINA
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100081 BEIJING
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111 45 ATHINA
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63039 Clermont Ferrand
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100193 BEIJING
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784 01 Litovel
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546 36 THESSALONIKI
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2000 Nicosia
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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.
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.
R95 DXR1 KILKENNY
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610065 CHENGDU
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266100 QINGDAO
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8600 DUEBENDORF
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265600 PENGLAI
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Participation ended
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028000 TONGLIAO
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028000 TONGLIAO
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262100 WEI FANG
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