How AI could help conservation work
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Canada is incorporating artificial intelligence into its conservation efforts to expand protected spaces and restore ecosystems. Researchers are using AI to process large amounts of data from satellite and aerial imagery to monitor and manage ecosystems.
Canada is leveraging artificial intelligence to enhance its conservation work. Researchers at McMaster University are using AI to process vast amounts of data from satellite and aerial imagery to map and assess the country's landscapes. By employing machine learning models, they were able to calculate the peat depth of the Hudson Bay Lowlands using just 500 ground measurements. This technology is crucial for managing Canada's large lands and waters with a relatively small population. AI is being used to count animals captured by video cameras, monitor salmon migration, and make informed decisions about fishing quotas. The conservation sector is increasingly relying on non-generative AI models to analyze large datasets and make data-driven decisions.
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