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Supervised learning techniques for dairy cattle body weight prediction from 3D digital images

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Supervised learning techniques for dairy cattle body weight prediction from 3D digital images. / Gebreyesus, Grum; Milkevych, Viktor; Lassen, Jan et al.

In: Frontiers in Genetics, 05.01.2023.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Harvard

Gebreyesus, G, Milkevych, V, Lassen, J & Sahana, G 2023, 'Supervised learning techniques for dairy cattle body weight prediction from 3D digital images', Frontiers in Genetics. https://doi.org/10.3389/fgene.2022.947176

APA

Gebreyesus, G., Milkevych, V., Lassen, J., & Sahana, G. (2023). Supervised learning techniques for dairy cattle body weight prediction from 3D digital images. Frontiers in Genetics. https://doi.org/10.3389/fgene.2022.947176

CBE

Gebreyesus G, Milkevych V, Lassen J, Sahana G. 2023. Supervised learning techniques for dairy cattle body weight prediction from 3D digital images. Frontiers in Genetics. https://doi.org/10.3389/fgene.2022.947176

MLA

Gebreyesus, Grum et al. "Supervised learning techniques for dairy cattle body weight prediction from 3D digital images". Frontiers in Genetics. 2023. https://doi.org/10.3389/fgene.2022.947176

Vancouver

Gebreyesus G, Milkevych V, Lassen J, Sahana G. Supervised learning techniques for dairy cattle body weight prediction from 3D digital images. Frontiers in Genetics. 2023 Jan 5. doi: https://doi.org/10.3389/fgene.2022.947176

Author

Gebreyesus, Grum ; Milkevych, Viktor ; Lassen, Jan et al. / Supervised learning techniques for dairy cattle body weight prediction from 3D digital images. In: Frontiers in Genetics. 2023.

Bibtex

@article{211de3ddfc85498aac5fc888213f03e9,
title = "Supervised learning techniques for dairy cattle body weight prediction from 3D digital images",
abstract = "The use of automation and sensor-based systems in livestock production allows monitoring of individual cows in real-time and provides the possibility of early warning systems to take necessary management actions against possible anomalies. Among the different RT monitoring parameters, body weight (BW) plays an important role in tracking the productivity and health status.",
author = "Grum Gebreyesus and Viktor Milkevych and Jan Lassen and Goutam Sahana",
year = "2023",
month = jan,
day = "5",
doi = "https://doi.org/10.3389/fgene.2022.947176",
language = "English",
journal = "Frontiers in Genetics",
issn = "1664-8021",
publisher = "Frontiers Media S.A",

}

RIS

TY - JOUR

T1 - Supervised learning techniques for dairy cattle body weight prediction from 3D digital images

AU - Gebreyesus, Grum

AU - Milkevych, Viktor

AU - Lassen, Jan

AU - Sahana, Goutam

PY - 2023/1/5

Y1 - 2023/1/5

N2 - The use of automation and sensor-based systems in livestock production allows monitoring of individual cows in real-time and provides the possibility of early warning systems to take necessary management actions against possible anomalies. Among the different RT monitoring parameters, body weight (BW) plays an important role in tracking the productivity and health status.

AB - The use of automation and sensor-based systems in livestock production allows monitoring of individual cows in real-time and provides the possibility of early warning systems to take necessary management actions against possible anomalies. Among the different RT monitoring parameters, body weight (BW) plays an important role in tracking the productivity and health status.

U2 - https://doi.org/10.3389/fgene.2022.947176

DO - https://doi.org/10.3389/fgene.2022.947176

M3 - Journal article

JO - Frontiers in Genetics

JF - Frontiers in Genetics

SN - 1664-8021

ER -