Seeing is caring - automated assessment of resource use of broilers with computer vision techniques
Research article (Peer reviewed)
Oleksiy Guzhva
Department of Biosystems and Technology
Faculty of Landscape Architecture, Horticulture and Crop Production Science
Email: oleksiy.guzhva@slu.se
ORCID: 0000-0002-0703-9894
Publications
2022
Estimation of Resilience Parameters Following LPS Injection Based on Activity Measured With Computer Vision
Research article (Peer reviewed)
2021
Editorial: Integration of Ethical and Social Aspects Into Precision Livestock Farming—Achieving Real-World Impact Responsibly
Editorial (Peer reviewed)
The Hitchhiker's Guide to Integration of Social and Ethical Awareness in Precision Livestock Farming Research
Research article (Peer reviewed)
Individual detection and tracking of group housed pigs in their home pen using computer vision
Research article (Peer reviewed)
2019
Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking
Review article (Peer reviewed)
Digitaliserad grisproduktion
Report
2018
Computer vision algorithms as a modern tool for behavioural analysis in dairy cattle
Doctoral thesis
Now You See Me: Convolutional Neural Network Based Tracker for Dairy Cows
Research article (Peer reviewed)
Convolutional neural network-based cow interaction watchdog
Research article (Peer reviewed)