How to use artificial intelligence for biodiversity conservation

The rapid advancement of artificial intelligence (AI) has opened new avenues for biodiversity conservation, making it a powerful tool in the fight against species extinction and habitat destruction. Machine learning algorithms are increasingly being utilized for camera trap image analysis to identify and track wildlife. AI-driven data analysis tools are assisting in the monitoring of endangered species and the prevention of poaching. The combination of environmental DNA technologies with AI analysis can significantly improve species detection, particularly for invasive or cryptic species. This paper argues that AI has the potential to revolutionize wildlife conservation and illustrates how AI technologies enhance conservation efforts. Additionally, gaps in current knowledge will be identified, and future research directions will be suggested.

کلیدواژه ها:

Biodiversity ، Environmental DNA ، Conservation challenges ، Machine learning algorithms ، Wildlife monitoring