Kenyan Students Utilize AI to Enhance Zebra Conservation Efforts
Edited by: Olga Samsonova
Kenyan students have applied Artificial Intelligence (AI) to support wildlife conservation, focusing on the endangered Grévy's zebra. Their research, presented at the University of Leeds, employs machine learning to analyze camera trap data, efficiently processing large volumes of images. This innovative approach has provided valuable insights into zebra populations and conservation needs.
The students' work underscores the potential of technology in conservation, highlighting the importance of international collaboration in addressing ecological challenges. By leveraging AI, they aim to improve the monitoring and protection of endangered species, contributing to a more sustainable and harmonious relationship with the natural world.
Sources
Mirage News
Deep Learning IndabaX Uganda 2024
Leeds Africa Hub for Data Science and Artificial Intelligence
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