Cause
AI for Ocean & Plastic Crisis
fishing vessels monitored by AI to prevent illegal catches
14 reported stories
The ocean and the wild are hard to watch and easy to exploit. AI now listens to reefs, names species from a photo, spots dark fishing fleets from orbit and guides plastic collection across the Pacific. These stories cover ocean, water and wildlife projects with measured results.
The Ocean Cleanup uses AI and satellite imagery to map garbage patches and guide collection systems across the Pacific. Global Fishing Watch monitors 65,000+ vessels using machine learning to catch illegal fishing in real time. MBARI's deep sea AI has cataloged species we didn't know existed, building the case for ocean protection with hard data.
Stories
Conservation · 7 min read
BirdNET Turns a Million Hours of Forest Sound Into Conservation Data
Cornell Lab's open source BirdNET AI identifies more than 6,500 bird species by sound and has scanned 1 million hours of Sierra Nevada audio to guide forest management.
Conservation · 7 min read
iNaturalist: The AI That Names 90,000 Species From a Single Photo
iNaturalist's computer vision identifies over 90,000 species from phone photos, turning 300 million amateur observations into research grade data.
Conservation · 8 min read
Project CETI Is Using Machine Learning to Decode Sperm Whale Language
Project CETI's machine learning detects sperm whale clicks with 99.5 percent accuracy and has identified a phonetic alphabet, the closest thing to language.
Conservation · 7 min read
AI Satellites Exposed the Dark Fleet Fishing in Secret
Global Fishing Watch uses satellite radar and machine learning to reveal fishing vessels that switch off their tracking, exposing hidden industrial fishing.
Conservation · 7 min read
Robots Are Planting Coral Faster Than Humans Ever Could
LarvalBot delivers millions of coral larvae to damaged Great Barrier Reef sites while Coral Maker's AI guided robots plant coral at industrial speed.
Water & Sanitation · 7 min read
The Algorithm That Found Flint's Lead Pipes
University of Michigan researchers built a model that predicted which Flint homes had lead pipes with about 97 percent accuracy, speeding up their removal.
Conservation · 7 min read
Wildbook: The AI That Knows Every Whale Shark by Its Spots
Wild Me's Wildbook uses computer vision to identify individual animals from photographs, turning tourist snapshots into population data for extinction risk.
Environment · 5 min read
The Ocean Cleanup's AI is Finally Seeing What We Couldn't
How satellite imagery and deep learning are mapping ocean plastic at scale and guiding the largest cleanup effort in history.
Conservation · 7 min read
WildTrack AI Reads Footprints to Protect Endangered Species
WildTrack's Footprint Identification Technology uses AI to identify endangered animals from footprints with over 90 percent accuracy, no collars required.
Conservation · 7 min read
SurfPerch: AI Listens to Coral Reefs
Google Research and DeepMind built SurfPerch, an AI model that analyzes thousands of hours of underwater audio to monitor coral reef health in the tropics.
Environment · 7 min read
Project Guacamaya: AI Guards the Amazon
Microsoft AI for Earth and Colombian researchers use AI to issue daily satellite alerts for Amazon deforestation, replacing monthly cycles.
Conservation · 7 min read
AI Camera Traps Protect Endangered Species
How Wildlife Insights and AI-powered camera traps have processed over 200 million images to protect endangered species and combat poaching worldwide.
Conservation · 6 min read
Old Phones Listening for Illegal Logging
How recycled smartphones and AI acoustic monitoring are protecting millions of acres of rainforest from illegal logging and poaching in 35+ countries.
Water & Sanitation · 6 min read
AI Microscopes Make Water Testing Instant
WaterScope and computer vision are replacing 48 hour lab tests with minutes long field analysis, bringing safe water testing to communities that need it most.
Questions people ask
How is AI used in ocean conservation?
AI identifies vessels fishing illegally from satellite and radar data, maps floating plastic for collection, identifies species from photos and sound recordings, and tracks individual animals over years. Each story here follows one project and its published numbers.
How does AI help wildlife conservation?
By turning camera traps, acoustic sensors, drone footage and citizen photos into counts and identifications that would take people years. The result is faster evidence for protection decisions and earlier alerts for poaching and habitat loss.