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Paper ID:10.55041/IJSREM.NCET007

EduTwin: A Unified Digital Twin Architecture for Agricultural Knowledge Preservation

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM.NCET007

Volume:

10 |

10 |

Oct 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem.NCET007

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DT

D.Bala Tharani

Applied Electronics

Nexzon Enterprises

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Abstract

Digital Twin technology in agriculture primarily focuses on crop monitoring, irrigation, and resource optimization, while agricultural knowledge preservation and transfer remain less explored. This paper proposes EduTwin, a unified Digital Twin architecture that treats agricultural knowledge as a core digital asset alongside farm data. The proposed methodology integrates knowledge capture, digital representation, simulation, and multi-level learning for school students, college learners, engineering students, and experienced farmers. Traditional farming expertise and modern agricultural practices are represented within a common environment, enabling comparative learning and what-if decision simulation. Conceptual analysis indicates that EduTwin unifies agricultural knowledge preservation, tacit knowledge capture, multi-audience learning, and cross-institutional knowledge sharing through a shared simulation architecture. The framework thus proposes a knowledge-centric Digital Twin model that extends conventional farm monitoring toward sustainable agricultural education and long-term preservation of farming expertise.

KEYWORDS

Digital Twin Agricultural Knowledge Preservation Tacit Knowledge Smart Agriculture Agricultural Education Knowledge Transfer Simulation-Based Learning.

Cite This Article

D.Bala Tharani, "EduTwin: A Unified Digital Twin Architecture for Agricultural Knowledge Preservation," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-6, Oct 2026. https://doi.org/10.55041/ijsrem.NCET007

Full Article/Conclusion

The application of digital twin technology in agriculture has largely been limited to optimizing agricultural operations, while its use in the preservation and transmission of knowledge has received relatively little attention. This paper has proposed EduTwin, a framework where a digital twin, using the same IoT data as any other agricultural DT system, will in addition serve six purposes related to learning and knowledge retention through a shared simulator. In light of the literature surveyed in this paper, EduTwin could be considered a conceptual framework that attempts to solve the problems of multi-audience learning, tacit knowledge, live data to teaching, and cross-institutional design. While most of the framework elements need empirical testing in order to assess their value, and while certain elements pose governance and methodology problems that have been highlighted rather than solved in this paper, EduTwin suggests a viewpoint that does not seem to have gained sufficient traction in contemporary research on digital twins in agriculture, namely treating the DT not only as an operational monitor but as a tool for preserving and transmitting knowledge from farmer to farmer. Moving towards such a view through pilot work, as outlined in Section IV, may be considered the next step in this research line.

References

[1]       of-the-art review," Smart Agricultural Technology, vol. 3, p. 100094, 2023. [2]       N. Peladarinos et al., "Enhancing smart agriculture by implementing digital twins: A comprehensive review," Sensors, vol. 23, no. 16, p. 7128, 2023. [3]       P. Kumar, G. Kumar, and N. Kaur, "Digital Twin Implementation in Agriculture: Strategies Leveraging AI and IoT," in Digital Twin Technology for Sustainable Agriculture, A. L. Srivastav, N. Kumar, and I.  Zinicovscaia, Eds. Singapore: Springer, 2026, doi: 10.1007/978-981-95-5915-2_20. [4]       Q. Xie et al., "Recent advances in the digital twin system for smart farming: A five-year review," in Proc. 2024 Int. Conf. CIITE, IEEE, 2024, pp. 1-6. [5]       Y. A. Reyes, R. Abbasi, and P. Martinez, "Digital twinning of hydroponic grow beds in intelligent aquaponic systems," Sensors, vol. 22, no. 19, p. 7393, 2022. [6]       A. Semin et al., "Improving the theoretical and methodological framework for implementing digital twin technology in agriculture," Emerging Science J., vol. 7, no. 4, pp. 1100-1115, 2023. [7]       A. Subeesh and N. Chauhan, "Agricultural digital twin for smart farming: A review," Green Technologies and Sustainability, art. 100299, 2025. [8]       M. Tsaousidis, T. Kalampokas, E. Vrochidou, and G. A. Papakostas, "AI-Enabled Digital Twins in Agriculture," AI, vol. 7, no. 3, art. 108, 2026, doi: 10.3390/ai7030108. [9]       A. Adeyemi, S. Ma, X. Zhihong, and R. Quijada-Landaverde, "Outcome-based use of simulation in agricultural sciences: A systematic literature review," NACTA J., vol. 68, no. 1, 2024, doi: 10.56103/nactaj.v68i1.166. [10]     J. Pulley, K. Claflin, and A. Thompson, "A review of virtual reality applications in agriculture education and recommendations for future research," J. Agricultural Education, vol. 66, no. 3, art. 15, 2025, doi: 10.5032/jae.v66i3.3195.

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Publication Date

10/5/2026

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