Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Franz Steininger"'
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 12, Pp 11550-11562 (2024)
ABSTRACT: The deployment of diverse data-generating technologies in livestock farming holds the promise of early disease detection and improved animal well-being. In this paper, we combine routinely collected dairy farm and herd data with weather and
Externí odkaz:
https://doaj.org/article/2413d00f1eed49399d60fcf24645ea80
Publikováno v:
Frontiers in Animal Science, Vol 5 (2024)
In the domain of precision livestock farming, the integration of diverse data sources is crucial for advancing sustainability and evaluating the implications of farm management practices on cow health. Addressing the challenge of data heterogeneity a
Externí odkaz:
https://doaj.org/article/109d8cdeb8804a3191d00101fe72fde7
Autor:
Caspar Matzhold, Jana Lasser, Christa Egger-Danner, Birgit Fuerst-Waltl, Thomas Wittek, Johann Kofler, Franz Steininger, Peter Klimek
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract In this study we present systematic framework to analyse the impact of farm profiles as combinations of environmental conditions and management practices on common diseases in dairy cattle. The data used for this secondary data analysis incl
Externí odkaz:
https://doaj.org/article/9688512fcc884c4882a1a6af7b52be48
Autor:
Lena Lemmens, Katharina Schodl, Birgit Fuerst-Waltl, Hermann Schwarzenbacher, Christa Egger-Danner, Kristina Linke, Marlene Suntinger, Mary Phelan, Martin Mayerhofer, Franz Steininger, Franz Papst, Lorenz Maurer, Johann Kofler
Publikováno v:
Animals, Vol 13, Iss 7, p 1180 (2023)
This study aimed to develop a tool to detect mildly lame cows by combining already existing data from sensors, AMSs, and routinely recorded animal and farm data. For this purpose, ten dairy farms were visited every 30–42 days from January 2020 to M
Externí odkaz:
https://doaj.org/article/d3e133ea069c43078751517f95ce01f3
Autor:
Maria Ledinek, Leonhard Gruber, Franz Steininger, Birgit Fuerst-Waltl, Karl Zottl, Martin Royer, Kurt Krimberger, Martin Mayerhofer, Christa Egger-Danner
Publikováno v:
Italian Journal of Animal Science, Vol 18, Iss 1, Pp 723-733 (2019)
This study examines the relationship between efficiency, energy balance and related traits like milk yield, feed intake (DMI), body weight and body condition score (BCS). Data was derived in the project ‘Efficient Cow’ to develop efficiency trait
Externí odkaz:
https://doaj.org/article/e43f0bd9d9c54533acfa44514ccb6dab
Autor:
Maria Ledinek, Leonhard Gruber, Franz Steininger, Karl Zottl, Martin Royer, Kurt Krimberger, Martin Mayerhofer, Christa Egger-Danner, Birgit Fuerst-Waltl
Publikováno v:
Italian Journal of Animal Science, Vol 18, Iss 1, Pp 202-214 (2019)
This study characterises diets used on-farm and examines nutrient and feed intake (DMI) together with other animal specific traits (body weight, milk yield, body condition score). Data came from the project ‘Efficient Cow’ to develop efficiency t
Externí odkaz:
https://doaj.org/article/8d38823d7c8a4a1a9dec8bdde5338f35
Autor:
Franz Steininger, Jana Lasser, Peter Klimek, Johann Kofler, Birgit Fuerst-Waltl, Caspar Matzhold, Christa Egger-Danner, Thomas Wittek
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports
Scientific Reports
In this study we present systematic framework to analyse the impact of farm profiles as combinations of environmental conditions and management practices on common diseases in dairy cattle. The data used for this secondary data analysis includes obse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7997ad4f1b4a255993ef9bcf2d059419
https://doaj.org/article/9688512fcc884c4882a1a6af7b52be48
https://doaj.org/article/9688512fcc884c4882a1a6af7b52be48
Integrating diverse data sources to predict disease risk in dairy cattle—a machine learning approach
Autor:
Franz Steininger, Jana Lasser, Peter Klimek, Birgit Fuerst-Waltl, Caspar Matzhold, Christa Egger-Danner, Thomas Wittek
Publikováno v:
J Anim Sci
Livestock farming is currently undergoing a digital revolution and becoming increasingly data-driven. Yet, such data often reside in disconnected silos making them impossible to leverage their full potential to improve animal well-being. Here, we int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae956649ec21868bffde908a6ff7fe6a
https://doi.org/10.1093/jas/skab294
https://doi.org/10.1093/jas/skab294
Autor:
Franz Steininger, Christa Egger-Danner, Martin Royer, Maria Ledinek, M. Mayerhofer, Kurt Krimberger, K. Zottl, Leonhard Gruber, Birgit Fuerst-Waltl
Publikováno v:
Italian Journal of Animal Science, Vol 18, Iss 1, Pp 723-733 (2019)
This study examines the relationship between efficiency, energy balance and related traits like milk yield, feed intake (DMI), body weight and body condition score (BCS). Data was derived in the project ‘Efficient Cow’ to develop efficiency trait
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc8e292cb03b393bb437c97ddbf4a0d8
https://doi.org/10.1080/1828051x.2019.1569485
https://doi.org/10.1080/1828051x.2019.1569485
Autor:
Kurt Krimberger, Maria Ledinek, Franz Steininger, K. Zottl, Birgit Fuerst-Waltl, M. Mayerhofer, Martin Royer, Leonhard Gruber, Christa Egger-Danner
Publikováno v:
Italian Journal of Animal Science, Vol 18, Iss 1, Pp 202-214 (2019)
This study characterises diets used on-farm and examines nutrient and feed intake (DMI) together with other animal specific traits (body weight, milk yield, body condition score). Data came from the project ‘Efficient Cow’ to develop efficiency t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::341b3ebfad6fad161ea2955cf2b1b4a4
https://doaj.org/article/8d38823d7c8a4a1a9dec8bdde5338f35
https://doaj.org/article/8d38823d7c8a4a1a9dec8bdde5338f35