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Applications of robotics and extended reality in agriculture: A review

Evangelos Anastasiou*, Georgios Ntakos, Eirini Kanakari, Stella Bitsika, Marilena Gemtou, Manolis Katsaragakis, Dimitrios Soudris, Christina Volioti, Elvira Maria Arvanitou, Maria Theodora Folina, Thodoris Maikantis, Elisavet Persefoni Kanidou, Maria Fountouli, Apostolos Ampatzoglou, Nikolaos Tsiogkas, Andrés Villa-Henriksen, Søren Marcus Pedersen, Tseganesh Wubale Tamirat, Annalisa Milella, Soussana SimopoulouGregory Mygdakos, Spyros Fountas

*Corresponding author for this work

Research output: Contribution to journalReviewpeer-review

3 Citations (Scopus)
11 Downloads (Pure)

Abstract

Agriculture is facing a labour shortage problem that affects global food safety and security. Robotic and extended reality (XR) technologies can prove to be potential solutions to this problem and help with the transition to Agriculture 5.0, although the latter is still at early stages of development. The aim of this study was to map and assess the way robotics and XR can mitigate labour shortage problem. PRISMA methodology was followed to identify relevant studies from the last five years, while frequency and correspondence analyses were used for identifying the corresponding trends. In total 210 relevant research studies were identified. These were analysed under the scope of crops, operations, robotics, XR and Human Robot Interaction (HRI). Vegetable crops (36%) followed by orchard crops (34%) were the most studied crop types. Additionally, the results presented that operation-specific robots were the most used robot type with use in 77 research articles while 140 research articles referred to wheeled robots. Also, the robots did not present any collaboration level with human in the most relevant studies. Collision avoidance was the most frequently implemented safety feature (31 out of 51 research articles) in the studies that included this type of information. Moreover, operations with high demand in accuracy, frequency or labour were connected with robots that were developed for a single operation. Thus, end-effectors that were specialized in one operation were more preferable than generic end-effectors. However, not all studies referred to all these topics, indicating a need for further investigation. Finally, future studies should further explore the use of Mixed Reality, safety, connectivity and data governance.

Original languageEnglish
Article number101521
JournalSmart Agricultural Technology
Volume12
Number of pages17
ISSN2772-3755
DOIs
Publication statusPublished - 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license. http://creativecommons.org/licenses/by/4.0/

Keywords

  • Agriculture 5.0
  • Human robot interaction
  • Labour shortage
  • Robotics
  • Smart farming
  • XR

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