AI identifies jungle noises

From Cocoa Plantations to Primeval Forests: AI Technology Helps Monitor Tropical Rainforest Regeneration through Bird Sound Analysis

The use of artificial intelligence to analyze the sounds of different bird species has successfully identified the presence of various stages of forest development. This technology can be used to determine the health of rainforests by simply allowing it to listen and recognize the sounds of local bird species.

Through reliable measurements, AI technology was able to assess how Ecuadorian tropical forests were naturally regenerating after agricultural use ceased. The technology was able to accurately determine the stages of species composition, even though it could only classify a fraction of the species identified by experts.

The forests studied ranged from pasture land and cocoa plantations to forests of different ages growing in their place, ultimately leading to old primeval forests. The assessment made by the artificial intelligence aligned with that of experts who listened to the sounds of birds, amphibians, mammals, and nocturnal insects.

Researchers from Germany, Ecuador, and America suggest that using listening artificial intelligence could be a cost-effective method to monitor the regeneration of tropical forests globally. This approach could ensure the creation of not only carbon sinks but also biodiversity-rich environments in various parts of the world.

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