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纳米和微型无人机:精准农业面临的新重大挑战?

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

作者信息

Gago Jorge, Estrany Joan, Estes Lyndon, Fernie Alisdair R, Alorda Bartomeu, Brotman Yariv, Flexas Jaume, Escalona José Mariano, Medrano Hipólito

机构信息

Grup de Recerca en Biologia de les Plantes en Condicions Mediterrànies, Departament de Biologia, University of the Balearic Islands (UIB)/Instituto de investigaciones Agroambientales y de la Economía del Agua (INAGEA), Palma, Spain.

Central Metabolism Group, Molecular Physiology Department, Max-Planck-Institut für Molekulare Pflanzenphysiologie, Golm, Germany.

出版信息

Curr Protoc Plant Biol. 2020 Mar;5(1):e20103. doi: 10.1002/cppb.20103.

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.

摘要

通过在卫星和地面观测无法企及的空间和时间尺度上收集数据,无人机正在给一些科学和管理学科带来变革。无人机在精准农业应用中可能具有特别重要的价值,在提高水、养分和病虫害管理效率方面具有巨大潜力。然而,一些作者认为,鉴于非专业人员难以操作无人机以及处理和解读由此产生的数据,无人机行业对这项技术在农业方面的潜在价值过度炒作了。在此,我们分析了将无人机应用于精准农业的障碍,这些障碍涵盖从监管问题到技术要求等各个方面。然后,我们评估了纳米和微型无人机(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平台能够使用比基于光谱指数的方法所需图像校准和解读更少的方法(如面向对象分类)直接量化植物性状。我们认为,这种潜力与传感器小型化、飞行精度和自主性以及基于云的图像处理方面的稳步改进相结合,将使无人机在不久的将来成为农业管理人员更广泛采用的工具。如果实现了更广泛的应用,那么无人机确实有潜力提高农业的资源利用效率。© 2020约翰威立父子公司版权所有

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