Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches

文献类型: 外文期刊

第一作者: Zhang, Chenglong

作者: Zhang, Chenglong;Kooistra, Lammert;Valente, Joao;Zhang, Chenglong;Guo, Leifeng;Wang, Wensheng;Guo, Leifeng

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关键词: Fruit trees; Site-specific management; Precision agriculture; Drone; Sensors

期刊名称:PRECISION AGRICULTURE ( 影响因子:4.454; 五年影响因子:4.298 )

ISSN: 1385-2256

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收录情况: SCI

摘要: Advances in sensor miniaturization are increasing the global popularity of unmanned aerial vehicle (UAV)-based remote sensing applications in many domains of agriculture. Fruit orchards (the source of the fruit industry chain) require site-specific or even individual-tree-specific management throughout the growing season-from flowering, fruitlet development, ripening, and harvest-to tree dormancy. The recent increase in research on deploying UAV in orchard management has yielded new insights but challenges relating to determining the optimal approach (e.g., image-processing methods) are hampering widespread adoption, largely because there is no standard workflow for the application of UAVs in orchard management. This paper provides a comprehensive literature review focused on UAV-based orchard management: the survey includes achievements to date and shortcomings to be addressed. Sensing system architecture focusing on UAVs and sensors is summarized. Then up-to-date applications supported by UAVs in orchard management are described, focusing on the diversity of data-processing techniques, including monitoring efficiency and accuracy. With the goal of identifying the gaps and examining the opportunities for UAV-based orchard management, this study also discusses the performance of emerging technologies and compare similar research providing technical and comprehensive support for the further exploitation of UAVs and a revolution in orchard management.

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