California plant distributions from iNaturalist data using AI (IMAGE)
Caption
Using more than 652,000 observations uploaded to iNaturalist (left), UC Berkeley scientists created an AI model to predict the distribution of 2,221 species of plants around the state. To train the deep learning network, the species observations were linked to 256 x 256 meter remote sensing images taken from the 2012 National Agricultural Imagery Program (right) and with climate variables.
Credit
Moi Exposito-Alonso and Lauren Gillespie, UC Berkeley
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