Record link: 
http://hdl.handle.net/20.500.12708/231126
-
Title: 
Explainable artificial intelligence for improving trust in computer vision models for action recognition of cattle
en
Citation: 
Zhao, K., Daadouch, S., Roth, P. M., & Gelautz, M. (2026). Explainable artificial intelligence for improving trust in computer vision models for action recognition of cattle. In D. Berckmans, M. Cambra-Lopez, F. Maroto-Molina, & M. Iwersen (Eds.), Precision Livestock Farming ’26 (pp. 312–315).
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
-
Authors: 
Zhao, Kui 
Daadouch, Salma 
Roth, Peter M. 
Gelautz, Margit 
-
Organisational Unit: 
E193-01 - Forschungsbereich Computer Vision 
E056-19 - Fachbereich Precision Livestock Farming 
-
Published in: 
Precision Livestock Farming '26 
-
ISBN: 
978-84-09-88364-6
-
Date (published): 
15-Sep-2026
-
Event name: 
12th European Conference on Precision Livestock Farming (ECPLF 2026) 
en
Event date: 
14-Sep-2026 - 17-Sep-2026
-
Event place: 
Valencia, Spain
-
Number of Pages: 
4
-
Peer reviewed: 
Yes
-
Keywords: 
Precision livestock farming; computer vision; cattle; explainable AI
en
Project title: 
PLFDoc: Precision Livestock Farming: DFH 34-N (FWF - Österr. Wissenschaftsfonds) 
-
Research Areas: 
Visual Computing and Human-Centered Technology: 100%
-
Science Branch: 
4030 - Veterinärmedizin: 10%
1020 - Informatik: 90%
-
Appears in Collections:
Conference Paper

Show full item record

Page view(s)

9
checked on Sep 28, 2026

Download(s)

6
checked on Sep 28, 2026

Google ScholarTM

Check