Smartphone technology is promising for the future development of agriculture, as it can facilitate and improve many operational procedures and can also be combined with precision agriculture technologies. Yet, existing research on smartphone adoption in agriculture is scarce. Therefore, this paper empirically explores the factors influencing smartphone adoption by German farmers. The relationship between farmers, farm characteristics and smartphone adoption was analysed using a binomial logit model. The dataset, collected in 2016, consists of 817 German farmers and is representative in terms of age, farm size and diversification as well as regional distribution across the study area. The results indicate that, among other factors, farmers’ age, education, and farm size are determinants of smartphone adoption. Furthermore, the paper provides descriptive information about the usage of smartphone functions and agriculture-related app functions. Thus, this paper contributes to the literature by identifying key determinants of smartphone adoption in agriculture. The findings may be of interest for policy makers, researchers in the field of precision agriculture technologies as well as developers and providers of farm equipment and precision agriculture technologies that integrate with smartphones, since the paper includes information concerning smartphone use and key factors influencing smartphone adoption.

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智能手机在农业中的采用和使用：来自德国的经验证据

智能手机技术对于农业的未来发展很有前景，因为它可以促进和改进许多操作程序，还可以与精准农业技术相结合。然而，关于智能手机在农业中采用的现有研究很少。因此，本文实证探讨了影响德国农民采用智能手机的因素。使用二项式 logit 模型分析了农民、农场特征和智能手机采用之间的关系。该数据集于 2016 年收集，由 817 名德国农民组成，在年龄、农场规模和多样化以及整个研究区域的区域分布方面具有代表性。结果表明，除其他因素外，农民的年龄、教育和农场规模是智能手机采用的决定因素。此外，该论文提供了有关使用智能手机功能和农业相关应用程序功能的描述性信息。因此，本文通过确定农业中智能手机采用的关键决定因素为文献做出贡献。决策者、精准农业技术领域的研究人员以及与智能手机集成的农业设备和精准农业技术的开发商和供应商可能会对这些发现感兴趣，因为该论文包含有关智能手机使用的信息和影响智能手机采用的关键因素.