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Oleksiy Guzhva
Oleksiy Guzhva
Department of Biosystems and Technology, Swedish University of Agricultural Sciences
Verified email at slu.se - Homepage
Title
Cited by
Cited by
Year
Development of automatic surveillance of animal behaviour and welfare using image analysis and machine learned segmentation technique
M Nilsson, AH Herlin, H Ardö, O Guzhva, K Åström, C Bergsten
Animal 9 (11), 1859-1865, 2015
762015
Feasibility study for the implementation of an automatic system for the detection of social interactions in the waiting area of automatic milking stations by using a video …
O Guzhva, H Ardö, A Herlin, M Nilsson, K Åström, C Bergsten
Computers and Electronics in Agriculture 127, 506-509, 2016
552016
Review of sensor technologies in animal breeding: phenotyping behaviors of laying hens to select against feather pecking
ED Ellen, M Van Der Sluis, J Siegford, O Guzhva, MJ Toscano, ...
Animals 9 (3), 108, 2019
512019
Individual detection and tracking of group housed pigs in their home pen using computer vision
LE Van der Zande, O Guzhva, TB Rodenburg
Frontiers in animal science 2, 669312, 2021
342021
Now you see me: Convolutional neural network based tracker for dairy cows
O Guzhva, H Ardö, M Nilsson, A Herlin, L Tufvesson
Frontiers in Robotics and AI 5, 107, 2018
342018
Convolutional neural network‐based cow interaction watchdog
H Ardö, O Guzhva, M Nilsson, AH Herlin
IET Computer Vision 12 (2), 171-177, 2018
212018
Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking. Animals 9, 108
ED Ellen, M Van Der Sluis, J Siegford, O Guzhva, MJ Toscano, ...
122019
Learning based image segmentation of pigs in a pen
M Nilsson, H Ardö, K Åström, A Herlin, C Bergsten, O Guzhva
Visual observation and analysis of vertebrate and insect behavior–Workshop …, 2014
92014
The hitchhiker's guide to integration of social and ethical awareness in Precision Livestock Farming research
O Guzhva, JM Siegford, C Lunner Kolstrup
Frontiers in animal science 2, 725710, 2021
72021
CNN-based cow interaction watchdog
H Ardö, O Guzhva, MA Nilsson
Proceedings of the 23rd International Conference Pattern Recognition, Cancun …, 2016
42016
The unintended (and unconsidered) consequences of PLF: ethical and social considerations of PLF running the farm
O Guzhva, JM Siegford
Practical Precision Livestock Farming, 383-396, 2022
32022
5.6. Continuous surveillance of pigs in a pen using learning-based segmentation in computer vision
M Nilsson, AH Herlin, O Guzhva, K Åström, H Ardö, C Bergsten
Precision livestock farming applications, 217-224, 2015
32015
Estimation of resilience parameters following LPS injection based on activity measured with computer vision
LE van der Zande, O Guzhva, S Parois, IA van de Leemput, JE Bolhuis, ...
Frontiers in animal science 3, 883940, 2022
22022
Integration of Ethical and Social Aspects Into Precision Livestock Farming—Achieving Real-World Impact Responsibly
J Siegford, O Guzhva
Frontiers in animal science 2, 780334, 2021
22021
Reduce damaging behaviour in laying hens and pigs by developing sensor technologies to inform breeding programs
TB Rodenburg, L Van Der Zande, EN De Haas, L Košťál, K Pichova, ...
Animal lives worth living, 364-364, 2019
22019
Computer vision algorithms as a modern tool for behavioural analysis in dairy cattle
O Guzhva
Acta Universitatis Agriculturae Sueciae, 2018
22018
Exercise pasture compared with production pasture in a part time grazing system with automatic milking
O Guzhva
SLU, Dept. of Animal Nutrition and Management, 2013
22013
Individuality of a group: detailed walking ability analysis of broiler flocks using optical flow approach
JAJ van der Eijk, O Guzhva, J Schulte-Landwehr, MF Giersberg, L Jacobs, ...
Smart Agricultural Technology 5, 100298, 2023
12023
Seeing is caring–automated assessment of resource use of broilers with computer vision techniques
JAJ Van der Eijk, O Guzhva, A Voss, M Möller, MF Giersberg, L Jacobs, ...
Frontiers in animal science 3, 945534, 2022
12022
Development of a seven-point shape model for analysis of social interactions in dairy cattle
O Guzhva, M Nilsson, H Ardö, A Herlin, K Åström, C Bergsten
Precision Dairy Farming 2016, 343-347, 2016
12016
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