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Environmental scientists use human-in-the-loop AI for fish counting at hydroelectric dams

A computer scientist details their experience working on a fish counting project for hydroelectric dams, which is a requirement for regulatory compliance with the Federal Energy Regulatory Commission (FERC). The project involved managing human-in-the-loop data production to monitor fish passage and ensure dams do not negatively impact endangered species, particularly salmon in the Pacific Northwest. This data is crucial for dam operators to maintain their operating licenses and avoid penalties. AI

RANK_REASON This is a case study of applying AI/ML techniques to a specific, non-frontier problem, fitting the 'tool' category.

Read on The Gradient →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Environmental scientists use human-in-the-loop AI for fish counting at hydroelectric dams

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This is a case study of applying AI/ML techniques to a specific, non-frontier problem, fitting the 'tool' category.
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COVERAGE [1]

  1. The Gradient TIER_1 English(EN) · Kevin McCraney ·

    Salmon in the Loop

    On fish counting – a complex sociotechnical problem in a field that is going through the process of digital transformation.