AI needs solid botanical data more than ever
Year: 2026
Type: article
Source: Nature
Author: Chris Bivins
Institution: University of California, Merced
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W7154379963
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