How is AI being used to monitor wildlife in the Cardamoms?

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AI is being deployed to identify gibbon calls using bioacoustic monitors and machine-learning algorithms.

Artificial intelligence is being integrated with bioacoustic monitors to detect and identify gibbon vocalizations within Cambodia's Cardamom Mountains. Conservation International (CI) has undertaken a significant effort to train a machine-learning program, enabling it to differentiate gibbon calls from other environmental sounds. This technological advancement aims to provide crucial data for understanding and protecting endangered species within this vital rainforest ecosystem.
AI Trained to Distinguish Gibbon Vocalizations

Conservation International dedicated three months to training a machine-learning program specifically for identifying gibbon calls. This process involved meticulously labeling recorded audio data, teaching the AI to recognize the distinction between gibbon sounds and other ambient noises. This foundational training allows the system to accurately flag instances of gibbon vocalizations within the vast amounts of acoustic data collected.
Bioacoustic Monitors Capture Forest Sounds

Dozens of bioacoustic monitors have been strategically placed across ten different sites within the Cardamom Mountains, with each device positioned at least three kilometers apart. This spacing ensures that each monitor captures the calls of a distinct gibbon group, as gibbon troops typically maintain this distance to avoid conflict. Over a period of just six weeks, these monitors successfully recorded nearly 800 distinct calls, forming the basis for the AI training.
Future AI Development for Detailed Analysis

The current AI model is designed to identify the presence of gibbon calls. However, the program is slated for further development to enable more nuanced analysis. Future training will focus on distinguishing between the calls of male and female gibbons, and eventually, the system is expected to be capable of identifying individual gibbon calls. This progression will allow for more detailed population monitoring and behavioral studies.

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How is AI being used to monitor wildlife in the Cardamoms?

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