Applications of Digital Twin Technology in Precision Farming (2017-2023): Insights and Sector-Specific Trends
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Although there is an increasing interest in using digital twin technology (DTT) to improve agricultural practices, a holistic understanding of its cross-sectoral applications is limited. This lack of a holistic perspective is a critical gap that must be addressed for effective implementation and knowledge transfer. To address the gap, a meta-analysis of 24 peer-reviewed articles (2017-2023) was conducted to explore the applications, impact, and potential of DTT in various agricultural sectors. A systematic search was conducted in Lens, ProQuest, and ScienceDirect, focusing on crop production, aquaculture, and animal husbandry. The findings show that research focuses mostly on crop production with notable applications in robotics, artificial intelligence, and advanced sensor integration. On the other hand, research on the application of DTT in the forestry, livestock, and dairy sectors is scarce; thus, there is a need for further research in these areas. This study highlights the revolutionary role of DTT in enhancing agricultural sustainability and managing risks and recommends increased interdisciplinary cooperation to extend its usage in all agricultural sectors.
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