Advances in artificial intelligence mean scalable biodiversity measurement is increasingly within reach, shifting the remaining challenge from data collection towards designing the governance, metrics, and institutions needed to support credible reporting and market-based incentives, according to researchers.
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AI models can bring biodiversity monitoring at scale closer to auditable measurements -study
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