Scientists are pioneering an AI tool to count barn owl chicks by analyzing the sounds of their calls, minimizing nest disturbances. PhD student Kavisha Jayathunge from Bournemouth University collaborates with biologist Brian Cresswell to develop a model that identifies individual calls. This innovative approach reduces stress on owls and enhances data collection from natural nests, which are harder to monitor than artificial ones. The AI distinguishes sound frequencies, helping researchers assess breeding success and owl behavior without intrusive surveillance. Cresswell emphasizes the model’s potential to analyze hissing behavior, which indicates feeding dynamics among chicks and hunger levels. The long-term goal is to empower volunteers and conservationists to monitor nests using remote audio recorders, adhering to wildlife protection regulations. This citizen science initiative aims to make barn owl monitoring more scalable and less invasive, ultimately improving conservation efforts for the species. Subscribe to our free Health Check email for exclusive health insights.
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