Virtual Reality in Agriculture: Applications and Challenges for Sustainable Farming

Authors

  • Cengiz KAYA Harran University

DOI:

https://doi.org/10.5281/zenodo.18111145

Keywords:

Virtual Reality, Farming Systems, Crop Management, Pest Control, Soil Health

Abstract

VR is becoming a revolution in the contemporary agriculture industry, as it provides immersive, interactive, and data-rich solutions that improve the decision-making process, training, and management of systems. This review will summarize the recent research in three areas of critical importance in crop management, pest management, and soil health by considering peer-reviewed literature, technology case reports and conceptual frameworks published between 2016 and 2025.The paper is methodologically thematic synthesis, after which the applications of VR are divided into categories in terms of functionality, seamless fusion with other technologies (e.g., drones, AI, IoT), as well as of interest to sustainable farming practices. The most important findings are that VR can be used to improve crop management by simulating fields and making precise interventions and visualization of data, pest control by virtual scouting, testing scenarios, and non-chemical integrated pest management (IPM), soil health education and monitoring based on 3D simulation and spatial analytics. All these applications prove that VR is a useful tool to enhance training, minimize operational risks, and make adaptive decisions. The review finds that VR has significant potential to be deployed in sustainable agriculture, but its larger-scale application is limited by the need to address issues that concern the cost of hardware, its usability, and the simulation fidelity and ethical concerns. Computer-assisted, VR combined with AI, IoT, and big data analytics will make it one of the main enablers of resilience-driven, precision-focused farming systems.

Downloads

Download data is not yet available.

References

A. Abdullah and M. Umer. Applications of remote sensing

in pest scouting: evaluating options and exploring

possibilities. In Proceedings of the 7th International

Conference on Precision Agriculture and Other Precision

Resources Management, pages 1–13, Minneapolis, MN,

USA, 2004. Precision Agriculture Center, University of

Minnesota.

M. Agarwal and A. Verma. Modern technologies for pest

control: a review. In Heavy Metals–Their Environmental

Impacts and Mitigation. 2020.

O. Akanle. Using virtual reality (vr) for simulating

farmland use scenarios. In Student Research Symposium,

Y. Akbari, N. Almaadeed, S. Al-Maadeed, and

O. Elharrouss. Applications, databases and open

computer vision research from drone videos and images:

a survey. Artificial Intelligence Review, 54:3887–3938,

P. Ashoka, N. K. Singh, N. H. Sunitha, D. R. K. Saikanth,

O. Singh, G. Sreekumar, and B. V. Singh. Enhancing

agricultural production with digital technologies: A

review. International Journal of Environment and Climate

Change, 13(9):409–422, 2023.

J. Bailenson. Experience on demand: What virtual reality is,

how it works, and what it can do. W. W. Norton & Company,

E. M. Bennett, J. Baird, H. Baulch, R. Chaplin-Kramer,

E. Fraser, P. Loring, and D. Lapen. Ecosystem services

and the resilience of agricultural landscapes. In Advances

in Ecological Research, volume 64, pages 1–43. Academic

Press, 2021.

F. E. Bolton. Optimizing the use of water and nitrogen

through soil and crop management. Plant and Soil, pages

–247, 1981.

P. Brey. The ethics of representation and action in virtual

reality. Ethics and Information Technology, 1(1):5–14,

F. Bruno, A. Ceriani, Z. Zhan, G. Caruso, and A. Del Mastro.

Virtual reality to simulate an inflatable modular

hydroponics greenhouse on mars. In International Design

Engineering Technical Conferences and Computers and

Information in Engineering Conference. American Society

of Mechanical Engineers, 2020.

H. Buller, H. Blokhuis, K. Lokhorst, M. Silberberg, and

I. Veissier. Animal welfare management in a digital

world. Animals, 10(10):1779, 2020.

E. K. Bünemann, G. Bongiorno, Z. Bai, R. E. Creamer,

G. De Deyn, R. De Goede, and L. Brussaard. Soil quality–

a critical review. Soil Biology and Biochemistry,

:105–125, 2018.

H. Cadavid, W. Garzón, A. Pérez, G. López, C. Mendivelso,

and C. Ramírez. Towards a smart farming platform:

from iot-based crop sensing to data analytics. In

Colombian Conference on Computing, pages 237–251.

Springer, 2018.

D. W. Carruth, C. Hudson, A. A. Fox, and S. Deb. User

interface for an immersive virtual reality greenhouse for

training precision agriculture. In International Conference

on Human-Computer Interaction, pages 35–46. Springer,

I. A. Castiblanco Jimenez, L. C. Cepeda García, M. G.

Violante, F. Marcolin, and E. Vezzetti. Commonly used

external tam variables in e-learning, agriculture and

virtual reality applications. Future Internet, 13(1):7,

T. Chandler, A. E. Richards, B. Jenny, F. Dickson, J. Huang,

A. Klippel, and S. M. Prober. Immersive landscapes:

modelling ecosystem reference conditions in virtual

reality. Landscape Ecology, pages 1–17, 2022.

U. A. Chattha, U. I. Janjua, F. Anwar, T. M. Madni,

M. F. Cheema, and S. I. Janjua. Motion sickness in virtual

reality: An empirical evaluation. IEEE Access,

:130486–130499, 2020.

P. Chenrai and S. Jitmahantakul. Applying virtual

reality technology to geoscience classrooms. Review of

International Geographical Education Online, 9(3):577–590,

M. E. de Oliveira and C. G. Corrêa. Virtual reality

and augmented reality applications in agriculture: a

literature review. In 22nd Symposium on Virtual and

Augmented Reality (SVR), pages 1–9. IEEE, 2020.

G. del Cerro Santamaría. The virtual soil mechanics

laboratory, 2000. Session 3226.

F. Delarue, S. Cornu, J. Daroussin, S. Salvador-Blanes,

H. Bourennane, P. Albéric, and D. King. 3d

representation of soil distribution: An approach for

understanding pedogenesis. Comptes Rendus Géoscience,

(6):486–494, 2009.

V. Dhananjayan, S. Jayakumar, and B. Ravichandran.

Conventional methods of pesticide application in

agricultural field and fate of the pesticides in the

environment and human health. In Controlled Release of

Pesticides for Sustainable Agriculture, pages 1–39.

J. W. Doran and M. R. Zeiss. Soil health and sustainability:

managing the biotic component of soil quality. Applied

Soil Ecology, 15(1):3–11, 2000.

D. El Chami, A. Daccache, and M. El Moujabber. How

can sustainable agriculture increase climate resilience? a

systematic review. Sustainability, 12(8):3119, 2020.

R. Ellur, A. M. Ankappa, S. Dharumarajan,

T. Puttavenkategowda, T. M. Nanjundegowda,

P. S. Sannegowda, and D. Dogançi´c. Soil quality

assessment and its spatial variability in an intensively

cultivated area in india. Land, 13(7):970, 2024.

A. Eltner, A. Kaiser, C. Castillo, G. Rock, F. Neugirg,

and A. Abellán. Image-based surface reconstruction

in geomorphometry: merits, limits and developments.

Earth Surface Dynamics, 4(2):359–389, 2016.

K. Ennouri, M. A. Triki, and A. Kallel. Applications

of remote sensing in pest monitoring and crop

management. In Bioeconomy for Sustainable Development,

pages 65–77. 2020.

D. Freeman, S. Reeve, A. Robinson, A. Ehlers, D. Clark,

B. Spanlang, and M. Slater. Virtual reality in the

assessment, understanding, and treatment of mental

health disorders. Psychological Medicine,

(14):2393–2400, 2017.

Downloads

Published

31-12-2025

How to Cite

KAYA, C. (2025). Virtual Reality in Agriculture: Applications and Challenges for Sustainable Farming. International Journal of Advanced Virtual Reality, 2(1), 24–37. https://doi.org/10.5281/zenodo.18111145

Issue

Section

Literature Review Articles
Received 2025-10-05
Accepted 2025-12-31
Published 2025-12-31