1. Dorokhov, S., Pavkin, D. Y., & Yurochka, S. S. (2023). Digital twin technology in agriculture: Prospects for use. Agroingeniriya [Agroengineering], 25(4), 14-25. (In Russian). DOI: 10.26897/2687-1149-2023-4-14-25
2. Getz, G. A., & Yefremov, A. A. (2022). The effectiveness of digital twins in agriculture. In Novye informacionnye tekhnologii i sistemy (NITiS-2022) (pp. 317-320). Penza State University.
3. Han, X., Lin, Z., Cameron, C., Vucetic, B., & Lomax, S. (2022). AI-based digital twin model for cattle caring. Sensors, 22(19), 7118. DOI: 10.3390/s22197118 EDN: RDIPOS
4. Kim, S., & Heo, S. (2024). An agricultural digital twin for mandarins demonstrates the potential for individualized agriculture. Nature Communications, 15. DOI: 10.1038/s41467-024-45725-x
5. Knibbe, W. J., Afman, L., Boersma, S., Bogaardt, M.-J., van Evert, F., van der Heide, J., … de Wit, A. (2022). Digital twins in the green life sciences. NJAS: Impact in Agricultural and Life Sciences, 94(1), 249-279. DOI: 10.1080/27685241.2022.2150571 EDN: GKGPVI
6. Onwude, D., Bahrami, F., Shrivastava, C., Berry, T., Cronje, P., North, J., … Defraeye, T. (2022). Physics-driven digital twins to quantify the impact of pre- and postharvest variability on the end quality evolution of orange fruit. Resources, Conservation and Recycling, 186, 106585. DOI: 10.1016/j.resconrec.2022.106585 EDN: YVHZUI
7. Panteleev, I. A. (2024). Digital twins in the food industry: A new frontier of optimization and sustainable development. Finansovye rynki i banki [Financial Markets and Banks], (8), 201-203.
8. Pylianidis, C., Osinga, S., & Athanasiadis, I. N. (2021). Introducing digital twins to agriculture. Computers and Electronics in Agriculture, 184, 105942. DOI: 10.1016/j.compag.2020.105942 EDN: EOMLEN
9. Shoji, K., Schudel, S., Shrivastava, C., Onwude, D., & Defraeye, T. (2022). Optimizing the postharvest supply chain of imported fresh produce with physics-based digital twins. Journal of Food Engineering, 329, 111077. DOI: 10.1016/j.jfoodeng.2022.111077 EDN: QMDRHZ
10. Siddique, S., Haque, M. A., Rifat, R. H., George, R., Shujaee, K., & Gupta, K. D. (2023). Cyber security issues in the industrial applications of digital twins. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 873-878). DOI: 10.1109/SSCI52147.2023.10371850
11. Ulezko, A. V., & Reimer, V. V. (2023). Priority tasks of modernizing the information support system for agriculture in the context of digitalization. Bulletin of the Moscow University of Finance and Law (MFUA), (2), 37-50.
12. Velikanova, L. O., & Maximenko, A. A. (2023). Digital transformation of agriculture: Modern development technologies. Vestnik Akademii znanij [Bulletin of the Academy of Knowledge], 6(59), 113-118. EDN: SLVGKY
13. Ward, R., Choudary, R., Jans Singh, M., Roumpani, F., Lazauskas, T., Yong, M., Barlow, N., & Hauru, M. (2023). The challenges of using live-streamed data in a predictive digital twin. Journal of Building Performance Simulation, 16(5), 609-630. DOI: 10.1080/19401493.2023.2187463 EDN: IZJGTK
14. Yin, Y., Ma, B., Meng, Z., Chen, L., Liu, M., Zhang, Y., Zhang, B., & Wen, C. (2024). Construction method and case study of digital twin system for combine harvester. Computers and Electronics in Agriculture, 226, 109395. DOI: 10.1016/j.compag.2024.109395 EDN: TGRXWO
15. Zharinov, A. V., & Zotov, B. V. (2023). Digital twins: Problems and prospects. In State audit in ensuring high quality of life of the population and national security: Proceedings of the international scientific and practical conference, Astana, April 1, 2023 (pp. 280-284). L. N. Gumilyov Eurasian National University.