Machine learning, computer vision, remote sensing, and data modeling techniques are used for studying and monitoring species, genetic diversity, and biodiversity ecosystems. AI models are used in camera traps, drone footage, and bioacoustics recordings to identify animals, plants, and insects from images, audio, and DNA data. Machine learning models estimate migration patterns, species population sizes, and extinction risks. Climate biodiversity modeling combines climate data and species data to predict ecosystem shift. The table below focuses on different AI technologies used for biodiversity applications. | AI Technology | User | Real-life Biodiversity Application | | Computer Vision | Wildlife Insights | AI analyzes millions of camera-trap images in the Amazon and Congo Basin to identify species such as jaguars, elephants, and leopards while filtering out empty images automatically. | | Acoustic AI | Rainforest Connection | Solar-powered acoustic sensors in Brazil, Peru, and Indonesia detect chainsaw and truck sounds in real time to help authorities stop illegal logging in biodiversity hotspots. | | Geospatial AI | Planet Labs | Daily satellite imagery is used to monitor Amazon deforestation, habitat fragmentation, and ecosystem degradation affecting biodiversity-rich forests. | | Remote Sensing AI | NASA | NASA’s GEDI mission uses LiDAR and AI to map forest canopy structure and estimate biodiversity and carbon density across tropical forests. | | Pattern-Recognition AI | Wildbook | Researchers identify individual whale sharks, zebras, and giraffes using unique body patterns for wildlife population tracking and migration studies. | | Environmental DNA (eDNA) AI | Marine biodiversity research programs in Canada and Europe | Scientists analyze seawater DNA samples with AI to detect endangered fish and aquatic species without physically capturing them. | | Bioacoustics AI | Cornell Lab of Ornithology / Bird monitoring programs | AI continuously analyzes rainforest and wetland sound recordings to monitor bird population