Digital technology adoption in livestock production with a special focus on ruminant farming
| Autor: | K. Heitkämper, C. Umstätter, T. Groher |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Farms
Livestock Swine 040301 veterinary sciences SF1-1100 law.invention 0403 veterinary science farm characteristics Agricultural science Parlour law Livestock Farming Systems Animals survey Animal Husbandry Dairy farming Dairy cattle Digital Technology Sheep business.industry 0402 animal and dairy science Agriculture small-scale farming 04 agricultural and veterinary sciences Poultry farming Animal husbandry 040201 dairy & animal science Animal culture ruminants CLARITY Cattle Female Animal Science and Zoology business Research Article precision livestock farming |
| Zdroj: | Animal, Vol 14, Iss 11, Pp 2404-2413 (2020) Animal |
| ISSN: | 1751-7311 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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