TY - JOUR
T1 - Applications of robotics and extended reality in agriculture
T2 - A review
AU - Anastasiou, Evangelos
AU - Ntakos, Georgios
AU - Kanakari, Eirini
AU - Bitsika, Stella
AU - Gemtou, Marilena
AU - Katsaragakis, Manolis
AU - Soudris, Dimitrios
AU - Volioti, Christina
AU - Arvanitou, Elvira Maria
AU - Folina, Maria Theodora
AU - Maikantis, Thodoris
AU - Kanidou, Elisavet Persefoni
AU - Fountouli, Maria
AU - Ampatzoglou, Apostolos
AU - Tsiogkas, Nikolaos
AU - Villa-Henriksen, Andrés
AU - Pedersen, Søren Marcus
AU - Tamirat, Tseganesh Wubale
AU - Milella, Annalisa
AU - Simopoulou, Soussana
AU - Mygdakos, Gregory
AU - Fountas, Spyros
N1 - 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/
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Agriculture 5.0
KW - Human robot interaction
KW - Labour shortage
KW - Robotics
KW - Smart farming
KW - XR
U2 - 10.1016/j.atech.2025.101521
DO - 10.1016/j.atech.2025.101521
M3 - Review
AN - SCOPUS:105018948709
SN - 2772-3755
VL - 12
JO - Smart Agricultural Technology
JF - Smart Agricultural Technology
M1 - 101521
ER -