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

Chenglong Zhang, João Valente*, Lammert Kooistra, Leifeng Guo, Wensheng Wang*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

67 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)2007-2052
JournalPrecision Agriculture
Volume22
Issue number6
Early online date13 May 2021
DOIs
Publication statusPublished - 2021

Keywords

  • Drone
  • Fruit trees
  • Precision agriculture
  • Sensors
  • Site-specific management

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