The objective of this paper is to explore data privacy and sharing challenges associated with conducting regional data collection using large-scale unmanned aircraft systems (UAS) technologies. During the 2016 growing season, the North Dakota State University Extension Service and Elbit Systems of America conducted a proof-of-concept UAS Research and Development (R&D) project to use large-scale UAS platforms to address some of the issues limiting UAS technology adoption. While the researchers initially thought that the high-resolution spatial and temporal field imagery collected would be well received by area farmers, the team learned that some had concerns over farm operations privacy and about who would have access to the data. The team conducted multiple stakeholder meetings to address the issues raised. While the flights were successfully executed, problems related to farmer interest in the data collected and how to get that data to farmers were identified. Though the project demonstrated how third party operation of large-scale UAS can remove the operational burden from farmers, the project introduced additional privacy concerns and highlighted the need for better rural broadband to make grower access to data in the cloud practical.

中文翻译：

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在研究用于农业应用的大型无人机系统平台的同时保护农场隐私

本文的目的是探讨与使用大型无人机系统 (UAS) 技术进行区域数据收集相关的数据隐私和共享挑战。在 2016 年生长季节，北达科他州立大学推广服务中心和美国埃尔比特系统公司开展了一个概念验证 UAS 研发 (R&D) 项目，以使用大型 UAS 平台解决一些限制 UAS 技术采用的问题. 虽然研究人员最初认为收集的高分辨率时空田间图像会受到当地农民的欢迎，但研究小组了解到，有些人担心农场运营的隐私以及谁可以访问数据。该团队召开了多次利益相关者会议以解决提出的问题。在成功执行飞行的同时，发现了与农民对收集的数据的兴趣以及如何将这些数据提供给农民的问题。尽管该项目展示了大型 UAS 的第三方运营如何减轻农民的运营负担，但该项目引入了额外的隐私问题，并强调需要更好的农村宽带以使种植者访问云中的数据变得切实可行。