Dataflows and determinants of automated data collection among progressive German livestock farms

Abstract:: The current study investigated the dataflows in the livestock sector, focusing on broiler fattening, pig fattening and dairy farming in Germany. Based on a standardized and anonymized online survey, the study identified the data items collected during the respective production cycles, along with the collection methods, ranging from mostly manual collection to partially- or mostly automated collection. Additionally, the relevant stakeholders with whom these data are shared were distinguished. Government agencies, stock veterinarians and quality controllers emerged as the most important ones. The study further explored the determinants of automation in data collection. The analysis revealed that farm specialization significantly increases the likelihood of adopting data collection automation in broiler and pig fattening. In contrast, this relationship was not evident in dairy farming, where automation is more widespread and often accompanied by greater operational diversification through on-farm feed production.

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Publication Details

Journal
Smart Agricultural Technology
Published
2026-02-16
DOI
https://doi.org/10.1016/j.atech.2026.101888
Primary Topic
Survey Methodology and Nonresponse
Type
article
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article

Dataflows and determinants of automated data collection among progressive German livestock farms

Andrii Besieda, Abu Zar Shafiullah, Martin Kraft, Jantje Halberstadt et al.
Smart Agricultural Technology
Survey Methodology and Nonresponse
article

Dataflows and determinants of automated data collection among progressive German livestock farms

Andrii Besieda, Abu Zar Shafiullah, Martin Kraft, Jantje Halberstadt, Olaf Katenkamp, Arne Ortland, Christina Umstätter
article en

Abstract

Abstract:: The current study investigated the dataflows in the livestock sector, focusing on broiler fattening, pig fattening and dairy farming in Germany. Based on a standardized and anonymized online survey, the study identified the data items collected during the respective production cycles, along with the collection methods, ranging from mostly manual collection to partially- or mostly automated collection. Additionally, the relevant stakeholders with whom these data are shared were distinguished. Government agencies, stock veterinarians and quality controllers emerged as the most important ones. The study further explored the determinants of automation in data collection. The analysis revealed that farm specialization significantly increases the likelihood of adopting data collection automation in broiler and pig fattening. In contrast, this relationship was not evident in dairy farming, where automation is more widespread and often accompanied by greater operational diversification through on-farm feed production.

Smart Agricultural TechnologyVol. 13
Zero hunger
Openalex Percentile: Top 59%
Survey Methodology and Nonresponse
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Dataflows and determinants of automated data collection among progressive German livestock farms — Andrii Besieda, Abu Zar Shafiullah, et al. · Smart Agricultural Technology (2026) | TGRS Research Map | TGRS