Nano and Micro Unmanned Aerial Vehicles (UAVs): A New Grand Challenge for Precision Agriculture?

Q1 Agricultural and Biological Sciences
Jorge Gago, Joan Estrany, Lyndon Estes, Alisdair R. Fernie, Bartomeu Alorda, Yariv Brotman, Jaume Flexas, José Mariano Escalona, Hipólito Medrano
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引用次数: 11

Abstract

By collecting data at spatial and temporal scales that are inaccessible to satellite and field observation, unmanned aerial vehicles (UAVs) are revolutionizing a number of scientific and management disciplines. UAVs may be particularly valuable for precision agricultural applications, offering strong potential to improve the efficiency of water, nutrient, and disease management. However, some authors have suggested that the UAV industry has overhyped the potential value of this technology for agriculture, given that it is difficult for non-specialists to operate UAVs as well as to process and interpret the resulting data. Here, we analyze the barriers to applying UAVs for precision agriculture, which range from regulatory issues to technical requirements. We then evaluate how new developments in the nano- and micro-UAV (NAV and MAV, respectively) markets may help to overcome these barriers. Among the possible breakthroughs that we identify is the ability of NAV/MAV platforms to directly quantify plant traits using methods (e.g., object-oriented classification) that require less image calibration and interpretation than spectral index–based approaches. We suggest that this potential, when combined with steady improvements in sensor miniaturization, flight precision, and autonomy as well as cloud-based image processing, will make UAVs a tool with much broader adoption by agricultural managers in the near future. If this wider uptake is realized, then UAVs have real potential to improve agriculture's resource-use efficiency. © 2020 by John Wiley & Sons, Inc.

纳米和微型无人机:精准农业的新挑战?
通过收集卫星和野外观测无法获得的时空尺度数据,无人驾驶飞行器(uav)正在彻底改变许多科学和管理学科。无人机在精准农业应用中可能特别有价值,为提高水、养分和疾病管理的效率提供了强大的潜力。然而,一些作者认为,无人机行业过度夸大了这项技术对农业的潜在价值,因为非专业人员很难操作无人机以及处理和解释所产生的数据。在这里,我们分析了将无人机应用于精准农业的障碍,从监管问题到技术要求。然后,我们评估纳米和微型无人机(分别为NAV和MAV)市场的新发展如何有助于克服这些障碍。我们确定的可能突破之一是NAV/MAV平台使用方法(例如,面向对象分类)直接量化植物性状的能力,这些方法比基于光谱指数的方法需要更少的图像校准和解释。我们认为,这种潜力,与传感器小型化、飞行精度、自主性以及基于云的图像处理的稳步改进相结合,将使无人机在不久的将来成为农业管理者更广泛采用的工具。如果这种更广泛的应用得以实现,那么无人机在提高农业资源利用效率方面就具有真正的潜力。©2020 by John Wiley &儿子,Inc。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Current protocols in plant biology
Current protocols in plant biology Agricultural and Biological Sciences-Plant Science
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期刊介绍: Sound and reproducible laboratory methods are the foundation of scientific discovery. Yet nuances that are critical for an experiment''s success are not captured in the primary literature but exist only as part of a lab''s oral tradition. Current Protocols in Plant Biology provides reproducible step-by-step instructions for protocols relevant to plant research. Furthermore, Current Protocols content is thoughtfully organized by topic for optimal usage and to maximize contextual knowledge. Quarterly issues allow Current Protocols in Plant Biology to constantly evolve to keep pace with the newest discoveries and developments. Current Protocols in Plant Biology is the comprehensive source for protocols in the multidisciplinary field of plant biology, providing an extensive range of protocols from basic to cutting edge. Coverage includes: Extraction and analysis of DNA, RNA, proteins Chromosome analysis Transcriptional analysis Protein expression Metabolites Plant enzymology Epigenetics Plant genetic transformation Mutagenesis Arabidopsis, Maize, Poplar, Rice, and Soybean, and more.
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