Machine learning helps predict worldwide plant-conservation priorities
EurekAlert (press release)
A new approach co-developed at The Ohio State University uses data analytics and machine learning to predict the conservation status of more than 150,000 plants worldwide. Results suggest that more than 15,000 species likely qualify as near-threatened, …

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