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As the global population continues to rise and arable land becomes increasingly limited, innovative agricultural strategies are essential to meet food security demands. Vertical and layered farming practices emerge as solutions, enabling crop production within compact urban environments. These methods utilize vertical space efficiently by cultivating plants in stacked layers using controlled environment techniques, including hydroponics, aquaponics, and aeroponics. This eliminates the need for soil and reduces reliance on external climatic conditions, supporting year-round cultivation, optimizing resource use, and minimizing waste. Multi-layered or multi-storied cropping systems, a complementary form of vertical farming, involve growing compatible crops at varying heights to maximize sunlight capture, enhance biodiversity, and reduce pest infestations. The integration of Digital Twin (DT) technologies into vertical and layered farming systems marks advancement in smart agriculture, increasing productivity and sustainability. DTs are dynamic, virtual replicas of physical farming systems that allow real-time monitoring (e.g., temperature, humidity, and CO₂ levels), predictive analysis, and simulation of various scenarios. When integrated with enabling technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Geographic Information Systems (GIS), Cloud Computing, and Blockchain, digital twins form a comprehensive agri-digital ecosystem. These technologies enable tracking of environmental conditions, optimize irrigation, predict disease outbreaks, ensure resource efficiency, and enhance supply chain transparency. Components such as sensor networks, data analytics platforms, simulation models, and modular IoT frameworks support scalable and energy-efficient operations. However, challenges remain, including scalability in multi-layer environments, data integration, system interoperability, high initial costs, and operational inefficiencies. Addressing these issues requires collaborative research, incremental implementation strategies (e.g., pilot projects), and the development of standardized data protocols. The chapter emphasizes the convergence of vertical-layered farming and digital twin technology as a promising pathway for the future of smart agriculture.

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Future Trends and Innovations in Vertical and Layered Farming with Digital Twin Technology

  • 章节

  • 发表日期：

    2026年

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  • Riddhi Rathva,
  • Uma Hapani

摘要

As the global population continues to rise and arable land becomes increasingly limited, innovative agricultural strategies are essential to meet food security demands. Vertical and layered farming practices emerge as solutions, enabling crop production within compact urban environments. These methods utilize vertical space efficiently by cultivating plants in stacked layers using controlled environment techniques, including hydroponics, aquaponics, and aeroponics. This eliminates the need for soil and reduces reliance on external climatic conditions, supporting year-round cultivation, optimizing resource use, and minimizing waste. Multi-layered or multi-storied cropping systems, a complementary form of vertical farming, involve growing compatible crops at varying heights to maximize sunlight capture, enhance biodiversity, and reduce pest infestations. The integration of Digital Twin (DT) technologies into vertical and layered farming systems marks advancement in smart agriculture, increasing productivity and sustainability. DTs are dynamic, virtual replicas of physical farming systems that allow real-time monitoring (e.g., temperature, humidity, and CO₂ levels), predictive analysis, and simulation of various scenarios. When integrated with enabling technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Geographic Information Systems (GIS), Cloud Computing, and Blockchain, digital twins form a comprehensive agri-digital ecosystem. These technologies enable tracking of environmental conditions, optimize irrigation, predict disease outbreaks, ensure resource efficiency, and enhance supply chain transparency. Components such as sensor networks, data analytics platforms, simulation models, and modular IoT frameworks support scalable and energy-efficient operations. However, challenges remain, including scalability in multi-layer environments, data integration, system interoperability, high initial costs, and operational inefficiencies. Addressing these issues requires collaborative research, incremental implementation strategies (e.g., pilot projects), and the development of standardized data protocols. The chapter emphasizes the convergence of vertical-layered farming and digital twin technology as a promising pathway for the future of smart agriculture.