AI and Biodiversity Conservation: Protecting Ecosystems with Smart Technologies

Abstract

Biodiversity loss poses a significant threat to global ecosystems, requiring advanced technological interventions for conservation efforts. This paper explores AI-driven solutions in wildlife monitoring, habitat restoration, and species protection. It highlights AI applications such as drone-based surveillance, predictive modeling for ecosystem health, and AI-powered image recognition for tracking endangered species. Case studies showcase successful AI-driven biodiversity conservation projects, addressing challenges such as data bias, ethical considerations, and funding limitations. The study concludes with recommendations for leveraging AI in global conservation strategies to preserve biodiversity and promote environmental sustainability.