Opportunities and perspectives of the digital twins’ conception: the case in agriculture





simulation modeling, suburban agriculture, digital twins, updated data, virtual analog


The article discusses the means and directions for improving the results of simulation modeling of suburban agriculture and, as a result, the creation of digital twins of farms. Most innovative technologies are still considered new areas for experimentation in agriculture. However, the digital twins being developed for agriculture implement many of the ideas that have already been tested in other industries. The article presents an optimization problem that allows the simulation of suburban agriculture to provide the city with fresh products. Particular attention is paid to modeling the sustainable development of suburban agriculture and the characterization of related data. At the same time, one of the biggest challenges is the need to constantly collect and update expanding data about the object in order to create digital twins. The result of the study is the construction of a simulation modeling system that forms digital twins of suburban crop and livestock production, and the determination of priorities for the selection of relevant data. In order to determine the conditions for realizing opportunities in the transition from suburban farming simulation to digital twins, a general modeling system is presented, consisting of simulation and optimization models, and a set of metrics is selected for the constant collection and updating of the digital twin. The created simulation model was previously worked out by running dozens of different options in the form of sets of initial data, and as a result of the model's operation, the article presents the best (optimal) responses. The necessary steps for the realization of this transition are defined. As a result of the activity of the proposed conceptual system, real-time information, and analytics allows to optimize the performance of the farm

Author Biographies

Fuad Ibrahimov, Public Association “Center for Socio-Economic and Environmental Research”


Ulviyya Rzayeva, Azerbaijan State University of Economics (UNEC)

PhD on Mathematics, Associated Professor

Department of Digital Technologies and Applied Informatics

Rasul Balayev, Azerbaijan State University of Economics (UNEC)

D.Sc on Economics, Professor

Department of Digital Technologies and Applied Informatics


  1. Liu, M., Fang, S., Dong, H., Xu, C. (2021). Review of digital twin about concepts, technologies, and industrial applications. Journal of Manufacturing Systems, 58, 346–361. doi: https://doi.org/10.1016/j.jmsy.2020.06.017
  2. Shahzad, M., Shafiq, M. T., Douglas, D., Kassem, M. (2022). Digital Twins in Built Environments: An Investigation of the Characteristics, Applications, and Challenges. Buildings, 12 (2), 120. doi: https://doi.org/10.3390/buildings12020120
  3. Wright, L., Davidson, S. (2020). How to tell the difference between a model and a digital twin. Advanced Modeling and Simulation in Engineering Sciences, 7 (1). doi: https://doi.org/10.1186/s40323-020-00147-4
  4. Singh, M., Fuenmayor, E., Hinchy, E., Qiao, Y., Murray, N., Devine, D. (2021). Digital Twin: Origin to Future. Applied System Innovation, 4 (2), 36. doi: https://doi.org/10.3390/asi4020036
  5. Pylianidis, C., Osinga, S., Athanasiadis, I. N. (2021). Introducing digital twins to agriculture. Computers and Electronics in Agriculture, 184, 105942. doi: https://doi.org/10.1016/j.compag.2020.105942
  6. Dahmen, U., Rossmann, J. (2018). Experimentable Digital Twins for a Modeling and Simulation-based Engineering Approach. 2018 IEEE International Systems Engineering Symposium (ISSE). doi: https://doi.org/10.1109/syseng.2018.8544383
  7. Wagg, D. J., Worden, K., Barthorpe, R. J., Gardner, P. (2020). Digital Twins: State-of-the-Art and Future Directions for Modeling and Simulation in Engineering Dynamics Applications. ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg, 6 (3). doi: https://doi.org/10.1115/1.4046739
  8. Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., Sui, F. (2017). Digital twin-driven product design, manufacturing and service with big data. The International Journal of Advanced Manufacturing Technology, 94 (9-12), 3563–3576. doi: https://doi.org/10.1007/s00170-017-0233-1
  9. Yan, D., Liu, L., Liu, X., Zhang, M. (2022). Global Trends in Urban Agriculture Research: A Pathway toward Urban Resilience and Sustainability. Land, 11 (1), 117. doi: https://doi.org/10.3390/land11010117
  10. Beacham, A. M., Vickers, L. H., Monaghan, J. M. (2019). Vertical farming: a summary of approaches to growing skywards. The Journal of Horticultural Science and Biotechnology, 94 (3), 277–283. doi: https://doi.org/10.1080/14620316.2019.1574214
  11. Orsini, F., Kahane, R., Nono-Womdim, R., Gianquinto, G. (2013). Urban agriculture in the developing world: a review. Agronomy for Sustainable Development, 33 (4), 695–720. doi: https://doi.org/10.1007/s13593-013-0143-z
  12. Cohen, N. (2007). The Suburban Farm: An innovative model for civic agriculture. UA-Magazine, 55–58. Available at: https://www.researchgate.net/publication/242766513_The_Suburban_Farm_An_innovative_model_for_civic_agriculture
  13. Stefani, M. C., Orsini, F., Magrefi, F., Sanyé-Mengual, E., Pennisi, G., Michelon, N. et al. (2018). Toward the Creation of Urban Foodscapes: Case Studies of Successful Urban Agriculture Projects for Income Generation, Food Security, and Social Cohesion. Urban Horticulture, 91–106. doi: https://doi.org/10.1007/978-3-319-67017-1_5
  14. Dubbeling, M., van Veenhuizen, R., Halliday, J. (2019). Urban agriculture as a climate change and disaster risk reduction strategy. Field Actions Science Reports, 20, 32–39. Available at: https://journals.openedition.org/factsreports/5650#text
  15. Owens, G. R. (2016). ‘We are not farmers’: Dilemmas and prospects of residential suburban cultivators in contemporary Dar es Salaam, Tanzania. The Journal of Modern African Studies, 54 (3), 443–467. doi: https://doi.org/10.1017/s0022278x16000392
  16. Hite, D., Sohngen, B., Templeton, J. (2003). Zoning, Development Timing, and Agricultural Land Use at the Suburban Fringe: A Competing Risks Approach. Agricultural and Resource Economics Review, 32 (1), 145–157. doi: https://doi.org/10.1017/s1068280500002562
  17. Purcell, W., Neubauer, T. (2023). Digital Twins in Agriculture: A State-of-the-art review. Smart Agricultural Technology, 3, 100094. doi: https://doi.org/10.1016/j.atech.2022.100094
  18. Balayev, R. A., Mirzayev, N. S., Bayramov, H. M. (2021). Sustainability of urbanization processes in the digital environment: food security factors. Acta Scientiarum Polonorum Administratio Locorum, 20 (4), 283–294. doi: https://doi.org/10.31648/aspal.6819
  19. Neethirajan, S., Kemp, B. (2021). Digital Twins in Livestock Farming. Animals, 11 (4), 1008. doi: https://doi.org/10.3390/ani11041008
  20. Boschert, S., Rosen, R. (2016). Digital Twin – The Simulation Aspect. Mechatronic Futures, 59–74. doi: https://doi.org/10.1007/978-3-319-32156-1_5
  21. Schluse, M., Rossmann, J. (2016). From simulation to experimentable digital twins: Simulation-based development and operation of complex technical systems. 2016 IEEE International Symposium on Systems Engineering (ISSE). doi: https://doi.org/10.1109/syseng.2016.7753162
  22. Balaev, R. (2007). Urbanization: the urban economy and the food problem. Baku: Elm, 223–234.
  23. Semenov, P. V., Semishkur, R. P., Diachenko, I. A. (2019). Conceptual model оf digital twin technology implementation for oil and gas industry. Gas industry, 7 (787), 24–30. Available at: https://cyberleninka.ru/article/n/kontseptualnaya-model-realizatsii-tehnologii-tsifrovyh-dvoynikov-dlya-predpriyatiy-neftegazovogo-kompleksa
  24. Walters, J. P., Archer, D. W., Sassenrath, G. F., Hendrickson, J. R., Hanson, J. D., Halloran, J. M. et al. (2016). Exploring agricultural production systems and their fundamental components with system dynamics modelling. Ecological Modelling, 333, 51–65. doi: https://doi.org/10.1016/j.ecolmodel.2016.04.015
  25. van der Burg, S., Kloppenburg, S., Kok, E. J., van der Voort, M. (2021). Digital twins in agri-food: Societal and ethical themes and questions for further research. NJAS: Impact in Agricultural and Life Sciences, 93 (1), 98–125. doi: https://doi.org/10.1080/27685241.2021.1989269
  26. State Statistical Committee of the Republic of Azerbaijan. Available at: https://stat.gov.az/menu/6/statistical_yearbooks/?lang=en
  27. Nasirahmadi, A., Hensel, O. (2022). Toward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigm. Sensors, 22 (2), 498. doi: https://doi.org/10.3390/s22020498
  28. Chaux, J. D., Sanchez-Londono, D., Barbieri, G. (2021). A Digital Twin Architecture to Optimize Productivity within Controlled Environment Agriculture. Applied Sciences, 11 (19), 8875. doi: https://doi.org/10.3390/app11198875
Opportunities and perspectives of the digital twins’ conception: the case in agriculture




How to Cite

Ibrahimov, F., Rzayeva, U., & Balayev, R. (2023). Opportunities and perspectives of the digital twins’ conception: the case in agriculture . Eastern-European Journal of Enterprise Technologies, 1(13 (121), 102–112. https://doi.org/10.15587/1729-4061.2023.273975



Transfer of technologies: industry, energy, nanotechnology