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Improving biodiversity protection through artificial intelligence

Over a million species face extinction, urging the need for conservation policies that maximize the protection of biodiversity to sustain its manifold contributions to people. Here we present a novel framework for spatial conservation prioritization based on reinforcement learning that consistently...

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Detalles Bibliográficos
Autores principales: Silvestro, Daniele, Goria, Stefano, Sterner, Thomas, Antonelli, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612764/
https://www.ncbi.nlm.nih.gov/pubmed/35614933
http://dx.doi.org/10.1038/s41893-022-00851-6