Adoption of unoccupied aerial systems in agricultural research

Jennifer Lachowiec, Max J. Feldman, Filipe Inacio Matias, D. LeBauer, Alexander Gregory
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Abstract

A comprehensive survey and subject‐expert interviews conducted among agricultural researchers investigated perceived value and barriers to the adoption of unoccupied aerial systems (UASs) in agricultural research. These systems are often referred to colloquially as drones and are composed of unoccupied/uncrewed/unmanned vehicles and incorporated sensors. This study of UASs involved 154 respondents from 21 countries representing various agricultural sectors. The survey identified three key applications considered most promising for UASs in agriculture: precision agriculture, crop phenotyping/plant breeding, and crop modeling. Over 80% of respondents rated UASs for phenotyping as valuable, with 47.6% considering them very valuable. Among the participants, 41% were already using UAS technology in their research, while 49% expressed interest in future adoption. Current users highly valued UASs for phenotyping, with 63.9% considering them very valuable, compared to 39.4% of potential future users. The study also explored barriers to UAS adoption. The most commonly reported barriers were the “High cost of instruments/devices or software” (46.0%) and the “Lack of knowledge or trained personnel to analyze data” (40.9%). These barriers persisted as top concerns for both current and potential future users. Respondents expressed a desire for detailed step‐by‐step protocols for drone data processing pipelines (34.7%) and in‐person training for personnel (16.5%) as valuable resources for UAS adoption. The research sheds light on the prevailing perceptions and challenges associated with UAS usage in agricultural research, emphasizing the potential of UASs in specific applications and identifying crucial barriers to address for wider adoption in the agricultural sector.
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在农业研究中采用无人驾驶航空系统
在农业研究人员中开展的一项综合调查和主题专家访谈调查了在农业研究中采用无人驾驶航空系统(UAS)的认知价值和障碍。这些系统通常被俗称为无人机,由无人/无人驾驶/无人飞行器和内置传感器组成。这项关于无人机系统的研究涉及来自 21 个国家不同农业部门的 154 名受访者。调查确定了无人机系统在农业领域最有前景的三大应用:精准农业、作物表型/植物育种和作物建模。超过 80% 的受访者认为用于表型分析的无人机系统很有价值,47.6% 的受访者认为非常有价值。在参与者中,41%的人已经在研究中使用了无人机系统技术,49%的人表示有兴趣在未来采用该技术。目前的用户高度评价用于表型分析的无人机系统,63.9%的用户认为其非常有价值,而未来潜在用户的这一比例为39.4%。研究还探讨了采用无人机系统的障碍。报告最多的障碍是 "仪器/设备或软件成本高"(46.0%)和 "缺乏分析数据的知识或训练有素的人员"(40.9%)。这些障碍一直是当前和未来潜在用户最关心的问题。受访者表示,希望获得无人机数据处理管道的详细分步协议(34.7%)和人员现场培训(16.5%),作为采用无人机系统的宝贵资源。这项研究揭示了与农业研究中使用无人机系统相关的普遍看法和挑战,强调了无人机系统在特定应用中的潜力,并确定了农业部门广泛采用无人机系统需要解决的关键障碍。
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