Machine learning makes long-term, expansive reef monitoring possible

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External News Details

Machine learning can help conservationists monitor climate impacts across large swaths of marine ecosystems over extended periods of time, a task never possible before. The Delta Maps machine learning tool provides a new way to assess which reefs might be best-suited for survival and which play a key role in delivering larvae to others, and therefore should be targeted for preservation efforts, according to researchers in a paper published recently in the journal Communications Biology. Two scientists in the School of Earth and Atmospheric Sciences conducted the research: Annalisa Bracco, professor and associate chair, and Lyuba Novi, postdoctoral fellow.

Additional Information

Groups

College of Sciences, EAS

Categories
Environment
Keywords
College of Sciences, School of Earth and Atmospheric Sciences, Lyuba Novi, Annalisa Bracco, coral reefs, machine learning, climate change
Status
  • Created By: Renay San Miguel
  • Workflow Status: Published
  • Created On: Feb 24, 2023 - 11:25am
  • Last Updated: Feb 24, 2023 - 11:25am