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A review of Digital Twin technology applications in the agricultural sector | ||
| علوم و فناوری اطلاعات کشاورزی | ||
| Volume 8, Issue 1 - Serial Number 15, March 2025, Pages 49-61 PDF (599.63 K) | ||
| Document Type: Extension | ||
| DOI: 10.22092/jaist.2025.368311.1130 | ||
| Authors | ||
| Arezoo Hasanvand* ; Seyed Erfan Hosseini | ||
| Ph.D. Candidate, Department of Agricultural Management and Development, Faculty of Agriculture, College of Agriculture and Natural Resources, University of Tehran. Karaj, Iran | ||
| 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. | ||
| Keywords | ||
| Digital agriculture; Digital twin; Cyber-physical systems; Simulation | ||
| References | ||
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