Revolutionising Agriculture with Augmented Reality (AR) and Virtual Reality (VR)
DOI:
https://doi.org/10.5281/zenodo.15570294Keywords:
Agricultural sustainability, Augmented reality, Digital twins, Virtual reality, RoboticsAbstract
Augmented reality (AR) and virtual reality (VR) technologies offer transformative possibilities across industries. AR overlays virtual objects onto the real world, enabling workplace improvements like tailored task instructions, enhanced security, and stress visualization with 3D mesh models. VR focuses on immersive, multisensory experiences, allowing users to engage actively in realistic virtual environments. Though limited by current sensor technology, VR enables compelling interactions, such as grasping virtual objects with a sense of weight and hardness. Despite its global economic importance, AR shows significant potential in agriculture, an underexplored area. AR could revolutionize farm management through precise climate forecasting and real-time monitoring of underground infrastructure, optimizing operations similarly to other industries. Digital twins (DTs), utilizing AR/VR/MR, create real-time holographic representations of physical systems, enhancing remote collaboration. Integrating haptics, humanoid technology, and soft robotics expands their functionality in communication and physical tasks. AR and VR are significant in government, healthcare, education, and sustainability. These technologies address global challenges by improving task efficiency and fostering environmental awareness while redefining human-computer interaction and expanding sensory perception. Their continued development promises a profound societal impact across multiple domains.
References
Alam, M. F., Katsikas, S., Beltramello, O., & Hadjiefthymiades, S. (2017). Augmented and virtual reality-based monitoring and safety system: A prototype IoT platform. Journal of Network and Computer Applications, 89, 109–119. https://doi.org/10.1016/j.jnca.2017.04.001
Baomin, Y. (1997). The application of a distributed VR environment in a composed campaign body exercise simulation. Computer Simulation, 14(4), 17–201.
Daponte, P., De Vito, L., Picariello, F., & Riccio, M. (2014). State of the art and future developments of the augmented reality for measurement applications. Measurement, 57, 53–70. https://doi.org/10.1016/j.measurement.2014.07.009
Harrington, M. C., Jones, C., & Peters, C. (2022). Course on virtual nature as a digital twin: Botanically correct 3D AR and VR optimized low-polygon and photogrammetry high-polygon plant models. In ACM SIGGRAPH 2022 Courses (pp. 1–69). https://doi.org/10.1145/3532721.3535573
Huang, J., Ong, S.-K., & Nee, A. Y. (2015). Real-time finite element structural analysis in augmented reality. Advances in Engineering Software, 87, 43–56. https://doi.org/10.1016/j.advengsoft.2015.04.002
Mesjar, L., Cross, K., Jiang, Y., & Steed, J. (2023). The intersection of fashion, immersive technology, and sustainability: A literature review. Sustainability, 15(4), 3761. https://doi.org/10.3390/su15043761
Nigam, A., Kabra, P., & Doke, P. (2011). Augmented reality in agriculture. In 2011 IEEE 7th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (pp. 360–364). https://doi.org/10.1109/WiMOB.2011.6085369
Pemmaraju, S. V., & Pirwani, I. A. (2007). Good quality virtual realization of unit ball graphs. In European Symposium on Algorithms (pp. 311–322). Springer. https://doi.org/10.1007/978-3-540-75520-3_29
Prusty, A. K., Mohapatra, B. P., Rout, S., Pradhan, K., Tripathy, B., & Sahoo, G. (2021). Information technology emergence in agriculture during COVID-19. Bulletin of Environment, Pharmacology and Life Science, 10(9), 54–57.
Prusty, A. K., Mohapatra, B. P., Rout, S., Senapati, R., & Padhy, C. (2021). Social media: Boon to agriculture. PLANTA, 2, 245–250.
Saha, P., Prusty, A. K., & Nanda, C. (2024). Extension strategies for bridging the gender digital divide. Journal of Applied Biology & Biotechnology, 12, 76–80.
Saha, P., Prusty, A. K., & Nanda, C. (2025). An overview of pluralism in agricultural extension and advisory services. International Research Journal of Multidisciplinary Scope, 6(1), 131–138.
Schall, G., Mendez, E., Kruijff, E., Veas, E., Junghanns, S., Reitinger, B., & Schmalstieg, D. (2009). Handheld augmented reality for underground infrastructure visualization. Personal and Ubiquitous Computing, 13, 281–291. https://doi.org/10.1007/s00779-008-0209-5
Springer, S. L., & Gadh, R. (1996). State-of-the-art virtual reality hardware for computer-aided design. Journal of Intelligent Manufacturing, 7, 457–465. https://doi.org/10.1007/BF00120455
Suman, S., Deb, A., Prusty, A. K., Sameer, S., Divya, B. S., & Saha, S. (2024). Utilizing blockchain, IoT and machine learning for transparent agri-extension and resource distribution: A review. In 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) (pp. 1–6). IEEE. https://doi.org/10.1109/SCOPES64467.2024.10991113
Tatić, D., & Tešić, B. (2017). The application of augmented reality technologies for the improvement of occupational safety in an industrial environment. Computers in Industry, 85, 1–10. https://doi.org/10.1016/j.compind.2016.11.004
Xi, M., Adcock, M., & McCulloch, J. (2018). Future agriculture farm management using augmented reality. In 2018 IEEE Workshop on Augmented and Virtual Realities for Good (VAR4Good) (pp. 1–5). https://doi.org/10.1109/VAR4GOOD.2018.8576883
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Harshitha Chikene, Vasanth Singisetti, Samik Kumar Pradhan (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
