Smart Products in Livestock Farming—An Empirical Study on the Attitudes of German Farmers

2021 | journal article; research paper. A publication with affiliation to the University of Göttingen.

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​Schukat, Sirkka, and Heinke Heise. "Smart Products in Livestock Farming—An Empirical Study on the Attitudes of German Farmers​." ​Animals, vol. 11, no. 4, ​2021, p. 1055​, ​doi: 10.3390/ani11041055. 

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Authors
Schukat, Sirkka; Heise, Heinke
Abstract
In recent years, the fourth industrial revolution has found its way into agriculture. Under the term smart farming, various so-called smart products are offered that may positively influence both the daily work of farmers and animal welfare. These smart products can collect data from the farm, extract important information, and in some cases even make decisions independently. Particularly in Germany, where intensive livestock farming is criticized by society, such smart products could make a significant contribution to improving animal welfare. However, an important prerequisite is the acceptance of the users, who are usually the livestock farmers themselves. So far, there is little knowledge about farmers\’ attitudes towards smart products in livestock production. In this study, a factor analysis and a cluster analysis are conducted to evaluate the attitudes of German livestock farmers towards smart products. Based on the analysis of an online questionnaire in which German livestock farmers (n = 422) participated, four clusters could be derived. The main distinguishing characteristics of the clusters are the influence of the social environment, the expected effort for implementation, the general trust in smart products, and the technology readiness of the farms. As a result, this study provides valuable insights for technology providers of smart products for livestock farming as well as for policy makers.
Issue Date
2021
Journal
Animals 
Organization
Department für Agrarökonomie und Rurale Entwicklung 
eISSN
2076-2615
Language
English
Sponsor
Open-Access-Publikationsfonds 2021

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