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AI Enhances Monitoring of Migratory Red-Billed Gulls in Southwest China

An advanced artificial intelligence (AI) system is revolutionizing the way researchers monitor and conserve migratory birds at Dianchi Lake, a crucial overwintering site in Kunming City, southwest China’s Yunnan Province.

Currently, annual observations and counts of red-billed gulls are underway. Traditionally, researchers relied on telescopes to observe these migratory birds. However, the introduction of the latest AI bird-watching system, which integrates drones and cameras, has significantly improved the efficiency and accuracy of their work.

“It is mainly suitable for relatively open areas with concentrated bird populations and large numbers. We now deploy drones twice daily, in the morning and evening, to capture real-time images. This allows us to obtain the population status of the red-billed gulls in Dianchi Lake more accurately and efficiently,” said Pan Min, deputy director of the Dianchi Plateau Lake Research Institute in Kunming.

In addition to visual monitoring, the research institute utilizes a voiceprint recognition system to identify bird species by their calls. According to Pan, the AI algorithms not only enhance current monitoring efforts but also support subsequent ecological research. The implementation of this system has enabled long-term, continuous observation of birds in the area.

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