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.

数字化是现代农业不可或缺的一部分。几种数字技术可用于不同的动物物种，并构成了精确畜牧业的基础。但是，目前尚不清楚农业实践中使用了哪些数字技术。因此，这项工作旨在首次展示瑞士畜牧业的现状，以此作为高度发展，小型和多样化的结构化农业的一个例子。在此背景下，本文重点介绍了在反刍动物养殖中使用电子传感器和测量设备，电子控件和电子数据处理选项以及使用机器人技术，即用于奶牛，奶山羊，奶牛，肉牛和肉类-羊。此外，评估了在猪场中使用电子耳标以及在家禽场中使用智能手机监测谷仓。为了更好地理解采用过程，使用回归分析评估了与（1）已实施和（2）新数字技术在反刍动物农业中的采用相关的农场和农民的特征，该分析被归类为10％的采用障碍。结果表明，不同农业企业之间的采用率存在明显差异，两种类型的数字技术在奶牛养殖中使用最多。易于使用的传感器和测量设备（例如集成在挤奶厅中的传感器和测量设备）比数据处理技术（例如用于疾病检测的传感器）更广泛。畜牧系统进一步确定了数字技术的使用，结果是，拥有平地棚的农民比使用宽松住房系统的农民使用数字技术的可能性更低。有关农民决定因素和实施前景的其他研究可以帮助确定采用数字技术的障碍。