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Co-designed Welfare Monitoring Platform for Pig and Dairy Cattle

Project description

A platform to control animal welfare in farming

Dairy cows and pigs represent the two livestock production systems with the highest share in Europe. Although the need for animal welfare is widely accepted as indispensable for sustainable farming, existing instruments to evaluate animal welfare are too slow and have high costs. Precision livestock farming (PLF) technology offers better control and ameliorates farming processes. The EU-funded ClearFarm project intends to use PLF technology along with animal-based data to increase animal welfare in the whole production chain. The platform will inform both production stakeholders and consumers on animal welfare status in the production systems, taking into consideration the geographical differences in Europe.

Objective

Animal welfare has become a fundamental aspect of livestock production. Current animal welfare assessment tools usually rely on momentary recordings and on awkward integration of various indicators with different units. Besides, existing tools to assess farm animal welfare are time consuming and costly. Precision livestock farming (PLF)-technology allows to monitor and optimise farming processes. PLF systems generate large volumes of on-farm data that can be used to monitor welfare in pigs and dairy cattle.

ClearFarm proposes to use PLF technology and integration of animal-based data, based on a blockchain approach, to enable improved animal welfare across the entire production chain. This will contribute to improved sustainable pig and dairy cattle production, the two livestock production systems with the highest shares in Europe.
ClearFarm aims to co-design, develop and validate a software platform powered by an algorithm integrating PLF data to provide animal welfare information, as well as other environmental and economic sustainability information that will assist (i) production chain stakeholders and (ii) consumers on decision making within the pig and dairy cattle value chains. Regulators, consumers and producers, policy makers, among other stakeholders, will get involved in the design of the new solution, seeking thus a multi-actor approach in most of the stages of the project.

The software platform will be capable to inform the welfare status in a variety of production systems, considering geographical divergences within production systems in Europe. The outcome of the algorithm will feed a user-friendly platform that will be adapted to inform the different targeted audiences. ClearFarm will assist producers in optimizing production process, but also for consumers to have more insight into the background of animal products, providing thus a better understanding of animal welfare.

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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)

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Topic(s)

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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-SFS-2018-2020

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Coordinator

UNIVERSITAT AUTONOMA DE BARCELONA
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.

€ 1 383 285,78
Address
EDIF A CAMPUS DE LA UAB BELLATERRA CERDANYOLA V
08193 Cerdanyola Del Valles
Spain

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Region
Este Cataluña Barcelona
Activity type
Higher or Secondary Education Establishments
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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.

€ 1 634 216,41

Participants (18)

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