ArticleAnimal : an international journal of animal bioscience2020
Digital technology adoption in livestock production with a special focus on ruminant farming.
Article in Animal : an international journal of animal bioscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 159 citations in OpenAlex.
- Integration of Digital Technologies into Goat Management in North-Eastern Kazakhstan.Animals : an open access journal from MDPI · 2026Article
- Precision Livestock Farming Technologies for Sheep Welfare in Extensive Systems: A Comprehensive Review.Veterinary medicine and science · 2026Review
- Developing Intelligent Models to Detect and Classify Cattle Behavior on Pasture.Animals : an open access journal from MDPI · 2026Article
- Facial phenotyping of Holstein calves using pose estimation models with varying keypoints.JDS communications · 2026Article
- - Invited Review - Application of precision livestock farming: challenges and opportunities.Animal bioscience · 2026Article
- Evaluating Welfare, Milk Quality and Yield of Rendena Cows in Loose vs. Tied Housing Systems.Animals : an open access journal from MDPI · 2026Article
- Influence of dairy farms' characteristics and technological level on attitude towards augmented reality.Scientific reports · 2026Article
- Multimodal animal health monitoring in extensive livestock production systems.Frontiers in veterinary science · 2026Review
- Agriculture data sharing review.Heliyon · 2025Article
- Impact of digital technology on herders' grassland leasing-in decisions in Inner Mongolia, China.PloS one · 2025Article
- Article
- Association of Dry Period Length with Automatic Milking System, Mastitis, and Reproductive Indicators in Cows.Animals : an open access journal from MDPI · 2024Article
- Clustering of countries based on dairy productivity characteristics of Holstein cattle for breeding material selection.Veterinary world · 2024Article
- Modeling Environmental Conditions in Poultry Production: Computational Fluid Dynamics Approach.Animals : an open access journal from MDPI · 2024Review
- Service-learning outreach to attract high school students to degrees and careers in agricultural sciences.Translational animal science · 2024Article
- Why do rural youth migrate? Evidence from Colombia and Guatemala.Frontiers in sociology · 2024Article
- Employee perception of precision technology use at the dairy farm.Translational animal science · 2024Article
- Impact of the Combination of Probiotics and Digital Poultry System on Behavior, Welfare Parameters, and Growth Performance in Broiler Chicken.Microorganisms · 2023Article
- Farmers' Perspectives of the Benefits and Risks in Precision Livestock Farming in the EU Pig and Poultry Sectors.Animals : an open access journal from MDPI · 2023Review
- Feed Conversion Ratio (FCR) and Performance Group Estimation Based on Predicted Feed Intake for the Optimisation of Beef Production.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.