Wildlife Informatics and Eco Analytics
Wildlife Informatics and Eco-Analytics use AI, sensor networks, and ecological modelling to protect biodiversity and understand natural ecosystems. Machine learning analyzes patterns in animal movement, habitat use, migration, and population dynamics. Remote sensing and drone imagery reveal changes in vegetation, water availability, and ecosystem health. Automated monitoring systems detect poaching risks, invasive species, and environmental disturbances. Interdisciplinary work spans ecology, conservation biology, environmental science, robotics, and data analytics. Predictive models anticipate how wildlife will respond to climate change, land-use shifts, and human encroachment. Eco-analytics supports conservation planning, protected area management, and wildlife policy. This field harnesses computing to preserve global biodiversity and ensure ecological resilience.