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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...
Autores principales: | Silvestro, Daniele, Goria, Stefano, Sterner, Thomas, Antonelli, Alexandre |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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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 |
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