A review of Digital Twin technology applications in the agricultural sector

Document Type : Extension

Authors

Ph.D. Candidate, Department of Agricultural Management and Development, Faculty of Agriculture, College of Agriculture and Natural Resources, University of Tehran. Karaj, Iran

10.22092/jaist.2025.368311.1130

Abstract

Digital Twin technology, as a virtual model of physical systems, enables the provision of real-time and precise data from various environments and processes. In agricultural sectors, including precision farming, water resource management, agricultural robotics, and post-harvest process optimization, this technology offers significant capabilities for enhancing productivity and reducing costs. This paper examines the applications of Digital Twin technology in agriculture and analyzes its opportunities and challenges. Initially, the opportunities, such as improved farm management, enhanced prediction accuracy, and resource consumption optimization, are examined. Subsequently, the implementation challenges in the agricultural sector, including data quality issues, privacy concerns, operational costs, and technical and legal complexities, are presented. This study aims to provide a more comprehensive understanding of the capabilities and barriers in implementing Digital Twin technology in agriculture while offering recommendations for future research and planning in this domain.

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