Project description
Boosting conservation practices with cutting-edge technology
As the world is currently facing the impacts of biodiversity loss, the need for effective and cost-efficient conservation practices is more pressing than ever. The EU-funded WildDrone project is aiming to revolutionise wildlife conservation practices using autonomous drone technology. Through 13 doctoral research projects, WildDrone will develop new drone technology, expand computer vision capabilities, and combine these advances to create tools for visual inspection and monitoring of wildlife populations. A tailored, interdisciplinary PhD training programme will be developed to provide a new generation of researchers with the skills they need to help tackle global biodiversity loss. The goal of WildDrone is to develop new, advanced technological tools that conservation practitioners around the globe can use in their work to reverse the decline of global biodiversity.
Objective
The aim of WildDrone is to push wildlife conservation practices into the 21st century. The need for effective, cost-efficient conservation practices are greater than ever as we currently face the greatest loss of global biodiversity in history. Present conservation practices are typically very labour intensive, costly, and time-consuming. Collected data is often inaccurate or incomplete. However, recent advances in drone technology have shown that this technology has great potential as a practical tool for conservationists and that it could potentially revolutionize our efforts in nature conservation. Nevertheless, drone technology is still a developing field and many obstacles stand in the way of us harvesting the benefits of this emerging technology. To fully achieve its promising potential in this new domain we will need to invent more robust and predictable robotic technologies, including effective
and automated means of gathering and interpreting ecological and behavioural data. WildDrone will address these challenges by joining the scientific areas of aerial robotics, computer vision, and wildlife ecology. The network proposes to develop new autonomous drone technology, expand current computer vision capabilities, and combine these advances to create practical tools for visual inspection and monitoring of wildlife populations. This drone-based inspection will provide conservationists with crucial knowledge of animal health, behaviour, and numbers. These challenges will be solved by 13 PhDs (three self-funded). An interdisciplinary research training programme has been designed to educate a new generation of PhDs and provide them with a unique skill set enabling them to tackle the great challenges we must solve collectively, if we are to reverse the decline of global biodiversity. This program will raise the level of excellence in doctoral programs and simultaneously enhance the career perspectives of the PhDs in both academia and industry.
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.
This project's classification has been human-validated.
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.
This project's classification has been human-validated.
- natural sciences computer and information sciences artificial intelligence computer vision
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics autonomous robots drones
- natural sciences biological sciences ecology ecosystems
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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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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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.
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks
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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) HORIZON-MSCA-2021-DN-01
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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.
5230 Odense M
Denmark
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Participants (6)
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80539 MUNCHEN
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48149 Muenster
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22770 Lancieux
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6708 PB Wageningen
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38122 Trento
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1043 AJ Amsterdam
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Partners (14)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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1015 Lausanne
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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10400 Nanyuki
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6792 Rømø
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W1A 1AA LONDON
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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00100 Nairobi
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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78464 Konstanz
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BS8 3HA Bristol
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20770 Greenbelt
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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5000 Odense
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P.Bag 13112 Windhoek Windhoek
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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1620 KOBENHAVN V
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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BS8 1QU BRISTOL
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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8004 Zurich
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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56100 Lorient
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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.