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Agriculture practices are undergoing a significant transformation through the integration of digital technologies to address global challenges such as climate change, population growth, and resource scarcity. Digital Twin (DT), among these innovations, has gained importance as a transformative concept for agriculture, enabling real-time virtual representations of possessions, processes, and equipment. DTs support predictive modeling, scenario analysis, and data-driven decision-making across domains such as crop cultivation, livestock management, controlled environment farming, and water resource optimization through the integration of Internet of Things (IoT) sensors, cloud-fog-edge computing, artificial intelligence, and big data analytics. These applications boost productivity, promote utilization of sustainable resource, and strengthen the resilience of agricultural systems. However, the widespread implementation of DTs faces multiple barriers including data heterogeneity, insufficient infrastructure, high deployment costs, and socio-economic inequalities. This research paper also discusses federated DT networks, Industry 5.0 interfaces, blockchain-enabled data ecosystems, and quantum-assisted simulations. As a foundation stone of Agriculture 5.0, Digital Twins (DTs) have the potential to transform global food systems by driving smart, sustainable, and inclusive farming practices.

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Digital Twin Applications in Agriculture: Emerging Prospects and Opportunities

  • 章节

  • 发表日期：

    2026年

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  • Arti,
  • Garima,
  • Yogesh Mohan,
  • Sandeep Kumar

摘要

Agriculture practices are undergoing a significant transformation through the integration of digital technologies to address global challenges such as climate change, population growth, and resource scarcity. Digital Twin (DT), among these innovations, has gained importance as a transformative concept for agriculture, enabling real-time virtual representations of possessions, processes, and equipment. DTs support predictive modeling, scenario analysis, and data-driven decision-making across domains such as crop cultivation, livestock management, controlled environment farming, and water resource optimization through the integration of Internet of Things (IoT) sensors, cloud-fog-edge computing, artificial intelligence, and big data analytics. These applications boost productivity, promote utilization of sustainable resource, and strengthen the resilience of agricultural systems. However, the widespread implementation of DTs faces multiple barriers including data heterogeneity, insufficient infrastructure, high deployment costs, and socio-economic inequalities. This research paper also discusses federated DT networks, Industry 5.0 interfaces, blockchain-enabled data ecosystems, and quantum-assisted simulations. As a foundation stone of Agriculture 5.0, Digital Twins (DTs) have the potential to transform global food systems by driving smart, sustainable, and inclusive farming practices.