News From the Field
New machine learning method predicts additions to global list of threatened plant species
December 3, 2018
This material is available primarily for archival purposes. Telephone numbers or other contact information may be out of date; please see current contact information at media contacts.A new method uses machine learning and open-access data to predict whether species are eligible for at-risk status on the IUCN Red List. The researchers trained a machine learning algorithm to assess more than 150,000 plant species worldwide and found that more than 10 percent of these species are highly likely to qualify for at-risk classification. The algorithm can be applied at any scale, from the entire globe to a single city park. Full Story
University of Maryland
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