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To Track a Forest’s Recovery, Artificial Intelligence Just Listens

Sana Pashankar and Kendra Pierre-Louis of Bloomberg write on how AI is aiding in forest recovery.

The C3 Take
  • Researchers in Ecuador have unlocked a new method to track biodiversity and forest recovery: AI.
  • Specifically, the researchers have paired bioacoustics, a branch of acoustics that quantifies all of the natural sounds humans can perceive, with an AI model that was trained to identify species.
  • While there are some flaws to the this approach, this pairing does provide a low-cost way to track and monitor biodiversity.

“Traditional methods of tracking biodiversity include metabarcoding, a type of analysis that looks at short snippets of DNA to identify specific populations of species. The researchers found that bioacoustic monitoring led to similar findings as this more direct method but can be accomplished at a lower cost and with less intrusion on the environment.”

Read the full article here.

The views and opinions expressed are those of the author’s and do not necessarily reflect the official policy or position of C3.

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