Review
Open access
Sep 2026
From pixels to conservation: Deep learning for automated monitoring of rare and endangered wildlife
This review systematically analyzes 159 wildlife monitoring studies (2014-2026) across four technical domains, identifying critical research gaps and emerging opportunities in foundation model adaptation, multimodal learning, spatiotemporal modeling, and edge deployment.
Dong-Hua Xuan, Yu-Chen Cai, Min-Xi Xu et al.
· iScience · 0 citations