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Digital technology adoption in livestock production with a special focus on ruminant farming

Digitalisation is an integral part of modern agriculture. Several digital technologies are available for different animal species and form the basis for precision livestock farming. However, there is a lack of clarity as to which digital technologies are currently used in agricultural practice. Thus...

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Detalles Bibliográficos
Autores principales: Groher, T., Heitkämper, K., Umstätter, C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538341/
https://www.ncbi.nlm.nih.gov/pubmed/32613933
http://dx.doi.org/10.1017/S1751731120001391
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author Groher, T.
Heitkämper, K.
Umstätter, C.
author_facet Groher, T.
Heitkämper, K.
Umstätter, C.
author_sort Groher, T.
collection PubMed
description Digitalisation is an integral part of modern agriculture. Several digital technologies are available for different animal species and form the basis for precision livestock farming. However, there is a lack of clarity as to which digital technologies are currently used in agricultural practice. Thus, this work aims to present for the first time the status quo in Swiss livestock farming as an example of a highly developed, small-scale and diverse structured agriculture. In this context, the article focuses on the adoption of electronic sensors and measuring devices, electronic controls and electronic data-processing options and the usage of robotics in ruminant farming, namely, for dairy cattle, dairy goats, suckler cows, beef cattle and meat-sheep. Furthermore, the use of electronic ear tags for pigs and the smartphone usage for barn monitoring on poultry farms was assessed. To better understand the adoption process, farm and farmer’s characteristics associated with the adoption of (1) implemented and (2) new digital technologies in ruminant farming were assessed using regression analyses, which is classified at a 10% adoption hurdle. The results showed clear differences in the adoption rates between different agricultural enterprises, with both types of digital technologies tending to be used the most in dairy farming. Easy-to-use sensors and measuring devices such as those integrated in the milking parlour were more widespread than data processing technologies such as those used for disease detection. The husbandry system further determined the use of digital technologies, with the result that farmers with tie stall barns were less likely to use digital technologies than farmers with loose housing systems. Additional studies of farmers’ determinants and prospects of implementation can help identify barriers in the adoption of digital technologies.
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spelling pubmed-75383412020-10-15 Digital technology adoption in livestock production with a special focus on ruminant farming Groher, T. Heitkämper, K. Umstätter, C. Animal Research Article Digitalisation is an integral part of modern agriculture. Several digital technologies are available for different animal species and form the basis for precision livestock farming. However, there is a lack of clarity as to which digital technologies are currently used in agricultural practice. Thus, this work aims to present for the first time the status quo in Swiss livestock farming as an example of a highly developed, small-scale and diverse structured agriculture. In this context, the article focuses on the adoption of electronic sensors and measuring devices, electronic controls and electronic data-processing options and the usage of robotics in ruminant farming, namely, for dairy cattle, dairy goats, suckler cows, beef cattle and meat-sheep. Furthermore, the use of electronic ear tags for pigs and the smartphone usage for barn monitoring on poultry farms was assessed. To better understand the adoption process, farm and farmer’s characteristics associated with the adoption of (1) implemented and (2) new digital technologies in ruminant farming were assessed using regression analyses, which is classified at a 10% adoption hurdle. The results showed clear differences in the adoption rates between different agricultural enterprises, with both types of digital technologies tending to be used the most in dairy farming. Easy-to-use sensors and measuring devices such as those integrated in the milking parlour were more widespread than data processing technologies such as those used for disease detection. The husbandry system further determined the use of digital technologies, with the result that farmers with tie stall barns were less likely to use digital technologies than farmers with loose housing systems. Additional studies of farmers’ determinants and prospects of implementation can help identify barriers in the adoption of digital technologies. Cambridge University Press 2020-11 2020-06-17 /pmc/articles/PMC7538341/ /pubmed/32613933 http://dx.doi.org/10.1017/S1751731120001391 Text en © The Animal Consortium 2020 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Groher, T.
Heitkämper, K.
Umstätter, C.
Digital technology adoption in livestock production with a special focus on ruminant farming
title Digital technology adoption in livestock production with a special focus on ruminant farming
title_full Digital technology adoption in livestock production with a special focus on ruminant farming
title_fullStr Digital technology adoption in livestock production with a special focus on ruminant farming
title_full_unstemmed Digital technology adoption in livestock production with a special focus on ruminant farming
title_short Digital technology adoption in livestock production with a special focus on ruminant farming
title_sort digital technology adoption in livestock production with a special focus on ruminant farming
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538341/
https://www.ncbi.nlm.nih.gov/pubmed/32613933
http://dx.doi.org/10.1017/S1751731120001391
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