Deep Learning Approaches for Monitoring and Preserving Ecological Biodiversity: Challenges and Innovations

Abstract

Ecological biodiversity is essential for maintaining ecosystem balance, supporting food security, and promoting sustainable development. However, biodiversity faces significant threats due to habitat loss, climate change, pollution, and human activities. Traditional monitoring techniques often struggle to provide real-time, scalable, and accurate assessments of biodiversity. Deep learning, a subset of artificial intelligence, has emerged as a powerful tool for biodiversity monitoring and conservation.