Wildlife Conflict Resolution: Boma & Cattle Detection in the Masai Mara using AI

In the Maasai Mara, escalating conflicts between humans and predators such as lions and cheetahs are a growing concern. We introduce an AI-driven solution that leverages satellite imagery to automatically detect bomas and cattle, as well as map their spatial distributions. This scalable and cost-effective approach empowers NGOs like the Kenya Wildlife Trust to design targeted interventions, such as constructing predator-proof bomas, thus mitigating conflict and protecting endangered species.
Bio
Dr. Akram Zaytar is a Senior Applied Research Scientist at Microsoft’s AI for Good Research Lab. Specializing in geospatial machine learning, he has partnered with NGOs to apply AI in resolving pressing environmental issues such as wildlife conflicts, extreme weather quantification, impact mapping, and climate change.
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