Delhi team uses deep transfer learning to confirm painted stork nest site fidelity

Exam-focused facts from the 28 March 2026 current affairs briefing.

Key facts

Researchers tracked a male painted stork named Ringo with a neck scar inside Delhi’s National Zoological Park for four breeding seasons (2022-2025).
A total of 2,349 high-resolution images of Ringo and 1,755 images of other storks were collected to build a deep transfer learning (DTL) model.
Scale-invariant feature transform (SIFT) identified Ringo’s scar and feather pattern, achieving 98% individual identification accuracy.
Repeated sightings of Ringo at the same nest site across four years confirmed strong nest site fidelity in the species.
The study, published in Royal Society Open Science, was led by University of Delhi, Salim Ali Centre for Ornithology and Natural History, and Tamil Nadu Agricultural University.