AI Biodiversity Monitoring

Machine learning systems analyzing acoustic sensors, camera traps, satellite imagery, and environmental DNA to continuously map species populations, habitat quality, and ecological tipping points. They detect illegal logging, poaching, and disease outbreaks in near real-time, enabling rapid intervention before irreversible ecosystem collapse.