Applications of robotics and extended reality in agriculture: A review

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.

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Publication Details

Journal
Smart Agricultural Technology
Published
2025-10-10
DOI
https://doi.org/10.1016/j.atech.2025.101521
Citations
2
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
3.50

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article

Applications of robotics and extended reality in agriculture: A review

Andrés Villa‐Henriksen, Nikolaos Tsiogkas, Spyros Fountas, Christina Volioti et al.
2 citations
Smart Agricultural Technology
Smart Agriculture and AI
3.50
article

Applications of robotics and extended reality in agriculture: A review

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

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.

Smart Agricultural TechnologyVol. 12
European Commission
Openalex Percentile: Top 7%
Smart Agriculture and AI
3.50
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