While biodiversity and wildlife may not immediately spring to mind when considering AI, conservation agencies have long employed a range of technologies to monitor and ensure the well-being of ecosystems and wildlife.
As per research, the market for AI in forestry and wildlife was estimated to be worth US $1.7 billion in 2023. It is projected to expand at a compound annual growth rate (CAGR) of 28.5% to reach US $16.2 billion by 2032.
Let’s look at some of the top use cases of AI in wildlife conservation.
AI-Powered Wildlife Monitoring
Conventional techniques frequently depended on manual observation, which was labour-intensive and liable to human mistake. AI-powered monitoring systems with cutting-edge sensors and cameras, help address this.Real-time tracking, identification, and detection of animals by these technologies can gather information about their habitat preferences, and population dynamics. Large-scale datasets are analysed by machine learning algorithms, which allow researchers to derive meaningful insights.
For instance, wildlife …