Kolloquium Landwirtschaft der Zukunft
5. Oktober 2023
Demo zur Wolfvergrämung: Präsentation der Vergrämungs-Infrastruktur auf der EWSN’24
22. Januar 2025Leveraging AI for Wildlife Monitoring: Enhancing Coexistence between Wolves, Humans, and Livestock
Researchers from the University of Bremen presented their findings on AI-based wolf detection at the Digital Summit 2024 in Frankfurt.
The collaborative project mAInZaun between the Institute of Animal Husbandry, Behaviour, and Welfare at Justus Liebig University Gießen, the Sustainable Communication Networks at the University of Bremen, and the mobile fencing experts at Roflexs is paving the way for innovative AI solutions to address human-wildlife conflict.
Researchers from the University of Bremen are contributing to the technical aspects of the project, focusing on the reliable detection of wolves in the wild. The overarching goal is to foster sustainable coexistence between wolves, humans, and livestock, which is increasingly important as wolf populations recover across Europe.
Dr. Jens Dede from the Sustainable Communication Networks and David Wewetzer from the Center for Computing and Communication Technologies (TZI) at the University of Bremen are developing AI algorithms to identify wolves in real time, enhancing the precision and reliability of wildlife monitoring systems.
At the recent Digital Summit (Digital-Gipfel 2024), hosted by the Federal Ministry for Digital and Transport alongside the Federal Ministry for Economic Affairs and Climate Action, Dede and Wewetzer presented the current state of AI development. The AI-driven monitoring system offers a powerful tool for farmers and conservationists alike, enabling proactive interventions to mitigate wolf-livestock conflicts. The presentation sparked engaging discussions about the broader potential of AI in conservation and agriculture, emphasizing its role in sustainable wildlife management. The research team expresses its sincere appreciation to the Digital Summit organizers for the opportunity to present their findings and engage with experts across disciplines. This project demonstrates how AI can be a transformative tool in ecological monitoring and sustainable agriculture, contributing to more effective and adaptive wildlife management strategies.
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Author: Jens Dede
