Drones are one of the latest tools to have been added to farmers’ precision agriculture technology tool kit. Despite the proclaimed benefits, adoption rates of drones are low and literature regarding the adoption of drones in agriculture is scarce. Therefore, this study investigates whether an extended Technology Acceptance Model (TAM) can contribute to the understanding of latent factors influencing farmers’ intention to adopt a drone. The sample of 167 German farmers was collected in 2019 via an online survey. Using partial least squares structural equation modelling and a binary model, the TAM explains 69% of the variance in the intention to use a drone by German farmers. According to the results, raising farmers’ awareness of farm-specific areas of drone application and the confidence level of using a drone can increase farmers’ intention to adopt a drone. The results are of interest for agribusinesses developing drones as well as selling or providing drones. Furthermore, the results are of interest for researchers in precision agriculture technologies.

无人机是添加到农民的精准农业技术工具包中的最新工具之一。尽管宣称有好处，但无人机的采用率仍然很低，有关农业中采用无人机的文献很少。因此，本研究调查了扩展的技术接受模型（TAM）是否可以帮助理解影响农民采用无人机的潜在因素。通过在线调查在2019年收集了167名德国农民的样本。TAM使用偏最小二乘结构方程模型和二元模型，解释了德国农民使用无人机的意图中69％的差异。根据结果​​，提高农民对农场专用无人机应用领域的认识以及使用无人机的置信度可以提高农民采用无人机的意愿。该结果对于农业综合企业开发无人机以及销售或提供无人机很有兴趣。此外，该结果对于精密农业技术的研究人员也很感兴趣。