A deep learning framework for bone fragment classification in owl pellets using YOLOv12

A deep learning framework for bone fragment classification in owl pellets using YOLOv12

Abstract Non-invasive monitoring of small mammal populations is critical for both biodiversity conservation and integrated pest management, particularly in agroecosystems. Barn owl (Tyto alba) pellet analysis has long served as a valuable tool for inferring prey abundance, yet conventional bone clas...

Full description

Saved in:
Bibliographic Details
Main Authors: Nik Fadzly, Lay Wai Kean, Siti Nuramaliati Prijono, Rini Rachmatika, Siti Zulaika, Mohd Nasir, Hasber Salim
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Owl pellets
Bone classification
Machine learning
Object detection
Online Access:https://doi.org/10.1038/s41598-025-15906-9
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-15906-9

Similar Items