This paper presents the state of application of Precision Agricultural enabling Technology (PAT) in Swiss farms as an example for small-scale, highly mechanised Central European agriculture. Furthermore, correlations between farm and farmers’ characteristics and technology adoption were evaluated. Being part of a comprehensive and representative study assessing the state of mechanisation and automation in Swiss agriculture, this paper focuses on the adoption of Driver Assistance Systems (DAS) and activities in which Electronic Measuring Systems (EMS) are used. The adoption rate of DAS was markedly higher compared to EMS in all agricultural enterprises. The adoption rate was highest for high-value enterprise vegetables and surprisingly low for the high-value enterprise grapes. The results of a binary logistic regression showed that farmers located in the mountain zone were less likely to adopt PAT compared to farmers in the valley. Small farm size correlated with low adoption rates and vice versa showing adoption happens country-specific in the upper farm size distribution. The results show the potential for novel technologies to be adopted by farmers of high-value products. Furthermore, technologies have been partially used to reduce physical workload but not yet to evaluate crop or management performance to support decisions. However, automatic collection and forwarding of data is a fundamental step towards Smart Farming realizing its full potential in the future.

中文翻译：

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在瑞士植物生产中采用精准农业支持技术的现状

本文以小型、高度机械化的中欧农业为例，介绍了精准农业使能技术 (PAT) 在瑞士农场中的应用状况。此外，还评估了农场和农民特征与技术采用之间的相关性。作为评估瑞士农业机械化和自动化状态的综合性和代表性研究的一部分，本文重点介绍了驾驶员辅助系统 (DAS) 的采用和使用电子测量系统 (EMS) 的活动。在所有农业企业中，DAS 的采用率明显高于 EMS。高价值企业蔬菜的采用率最高，高价值企业葡萄的采用率低得惊人。二元逻辑回归的结果表明，与山谷中的农民相比，位于山区的农民采用 PAT 的可能性较小。小农场规模与低采用率相关，反之亦然，表明采用发生在较高农场规模分布的国家/地区。结果表明，高价值产品的农民可以采用新技术。此外，技术已部分用于减少体力劳动，但尚未用于评估作物或管理绩效以支持决策。然而，数据的自动收集和转发是智能农业在未来充分发挥其潜力的重要一步。小农场规模与低采用率相关，反之亦然，表明采用发生在较高农场规模分布的国家/地区。结果表明，高价值产品的农民可以采用新技术。此外，技术已部分用于减少体力劳动，但尚未用于评估作物或管理绩效以支持决策。然而，数据的自动收集和转发是智能农业在未来充分发挥其潜力的重要一步。小农场规模与低采用率相关，反之亦然，表明采用发生在较高农场规模分布的国家/地区。结果表明，高价值产品的农民可以采用新技术。此外，技术已部分用于减少体力劳动，但尚未用于评估作物或管理绩效以支持决策。然而，数据的自动收集和转发是智能农业在未来充分发挥其潜力的重要一步。技术已部分用于减少体力劳动，但尚未用于评估作物或管理绩效以支持决策。然而，数据的自动收集和转发是智能农业在未来充分发挥其潜力的重要一步。技术已部分用于减少体力劳动，但尚未用于评估作物或管理绩效以支持决策。然而，数据的自动收集和转发是智能农业在未来充分发挥其潜力的重要一步。