Objective
The welfare of animals kept for human consumption is of high concern globally, also within the European Commission including the welfare of the domesticated pig . As animal well-being is not just the absence of negative affective states, but also, and probably predominantly, the presence of positive affective states, identifying indicators of positive affective states in farmed animals can increase our capacity to improve their health and welfare. One such indicator is play behaviour. Play in pigs is an event occurring sporadically. Thus, using play behaviour for welfare assessment will not be possible through direct observations. Instead, it demands automation and continuous monitoring, two key elements of Precision Livestock Farming (PLF). The current project aims to investigate the relation between play behaviour in pigs and sensor data from image and sound analysis combining ethology and computer science into one field of Computational Ethology (CE). The project will focus on the CE part of the research, but the knowledge obtained could be used to develop real-time PLF algorithms for use in pig herds to observe the frequency and duration of play behaviour at pen level, beneficial to both the farmer, consultants, inspectors and future research projects within play behaviour in pigs. Training of the reseacher will include a thorough introduction to the field of CE and PLF, to the decoding and labeling of feature variables and to the use of machine learning algorithms on sensor data; all expertise fields of the hosting research group. All in all, the current project will take the first steps in developing a method for automatic recognition of play behaviour and positive affective states in pigs, as well as training the researcher for a future career within Computational Ethology and Precision Livestock Farming.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- agricultural sciences animal and dairy science domestic animals animal husbandry
- natural sciences biological sciences biological behavioural sciences ethology
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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.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
MSCA-IF-EF-ST - Standard EF
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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-MSCA-IF-2018
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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.
3000 Leuven
Belgium
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.