Deep Learning Approaches for Monitoring and Preserving Ecological Biodiversity: Challenges and Innovations
Year: 2025
Type: article
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.
Source: Cuestiones de Fisioterapia
DOI: 10.48047/qq823b94
Institution: PSG College of Arts & Science
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: hybrid
OpenAlex ID: W4407923741