December 3, 2018

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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

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University of Maryland

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