Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Oyvind Nordbo"'
Autor:
Hina Afridi, Mohib Ullah, Øyvind Nordbø, Solvei Cottis Hoff, Siri Furre, Anne Guro Larsgard, Faouzi Alaya Cheikh
Publikováno v:
Journal of Imaging, Vol 10, Iss 3, p 72 (2024)
We investigate the impact of different data modalities for cattle weight estimation. For this purpose, we collect and present our own cattle dataset representing the data modalities: RGB, depth, combined RGB and depth, segmentation, and combined segm
Externí odkaz:
https://doaj.org/article/eb3e5fa36a404c82b922b8b17d6ec2ae
Autor:
Øyvind Nordbø, Rune Sagevik, Jørgen Kongsro, Kevin Mikkelsen, Arne B. Gjuvsland, Ann-Helen Gaustad, Dan Olsen, Espen W. Remme, Eli Grindflek
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract It has been debated whether intensive selection for growth and carcass yield in pig breeding programmes can affect the size of internal organs, and thereby reduce the animal’s ability to handle stress and increase the risk of sudden deaths
Externí odkaz:
https://doaj.org/article/bf4c3213f0874996b8290294e195fd28
Publikováno v:
Smart Agricultural Technology, Vol 3, Iss , Pp 100133- (2023)
The main aim of this study was to create an automated method for the measurement of the scrotal circumference (SC) of Norwegian Red bulls using 3D images of the scrotum based on convolutional neural networks. The study population was bull calves recr
Externí odkaz:
https://doaj.org/article/cdd9acbaec064a548570defa84047e7a
Publikováno v:
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-8 (2019)
Abstract Background The main aim of single-step genomic predictions was to facilitate optimal selection in populations consisting of both genotyped and non-genotyped individuals. However, in spite of intensive research, biases still occur, which make
Externí odkaz:
https://doaj.org/article/216a3007a968460c93978ea5e39c9f47
Publikováno v:
2022 International Conference on Frontiers of Information Technology (FIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8feb6e0eeb08e578b26e53307c9361d7
https://doi.org/10.1109/fit57066.2022.00042
https://doi.org/10.1109/fit57066.2022.00042
Publikováno v:
2022 9th NAFOSTED Conference on Information and Computer Science (NICS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a2867e9456bad0978bc11248935c673
https://doi.org/10.1109/nics56915.2022.10013403
https://doi.org/10.1109/nics56915.2022.10013403
Autor:
Øyvind Nordbø
Publikováno v:
Genetics Selection Evolution, Vol 52, Iss 1, Pp 1-13 (2020)
Abstract Background The shape of pig scapula is complex and is important for sow robustness and health. To better understand the relationship between 3D shape of the scapula and functional traits, it is necessary to build a model that explains most o
Externí odkaz:
https://doaj.org/article/65b5c4f90c5a4f488524e5f96aa29038
Autor:
Irene van den Berg, Ruidong Xiang, Janez Jenko, Hubert Pausch, Mekki Boussaha, Chris Schrooten, Thierry Tribout, Arne B. Gjuvsland, Didier Boichard, Øyvind Nordbø, Marie-Pierre Sanchez, Mike E. Goddard
Publikováno v:
Genetics Selection Evolution, Vol 52, Iss 1, Pp 1-16 (2020)
Abstract Background Sequence-based genome-wide association studies (GWAS) provide high statistical power to identify candidate causal mutations when a large number of individuals with both sequence variant genotypes and phenotypes is available. A met
Externí odkaz:
https://doaj.org/article/8fc569f86b0e419b804acf71d07792d8
Autor:
Maja Winther Iversen, Øyvind Nordbø, Eli Gjerlaug-Enger, Eli Grindflek, Marcos Soares Lopes, Theo Meuwissen
Publikováno v:
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-13 (2019)
Abstract Background In pigs, crossbreeding aims at exploiting heterosis, but heterosis is difficult to quantify. Heterozygosity at genetic markers is easier to measure and could potentially be used as an indicator of heterosis. The objective of this
Externí odkaz:
https://doaj.org/article/012c3d298f414a04a1a8de4d26781ffb
Publikováno v:
Mathematics, Vol 10, Iss 17, p 3097 (2022)
We propose optimized deep learning (DL) models for automatic analysis of udder conformation traits of cattle. One of the traits is represented by supernumerary teats that is in excess of the normal number of teats. Supernumerary teats are the most co
Externí odkaz:
https://doaj.org/article/e9294a9644d0413fad58330351fe1215