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What is Automated Orchid Conservation Assessment about?
This study presents an automated conservation assessment of 13,910 orchid species using a deep learning method (IUC-NN), identifying 4,342 species as possibly threatened with extinction. The assessment highlights Madagascar, East Africa, Southeast Asia, and several oceanic islands as priority areas for conservation. The IUC-NN demonstrated an accuracy of 84.3%, indicating the potential of automated methods to effectively identify species at risk despite challenges related to data availability and geographic
- Author
- titulmon
- Language
- EN