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Enhancing IoT-Based Smart Farming With Digital Twin and XR: A LoRaWAN-Powered System for Soil Monitoring and Automated Irrigation Control
Abstract
The convergence of Internet of Things (IoT), LoRaWAN, Digital Twin (DT), and Extended Reality (XR) is transforming smart farming, especially in resource-constrained regions. This chapter proposes an integrated system that combines LoRaWAN-based soil sensors, edge gateways, a cloud-synchronized Digital Twin, and an XR interface for immersive monitoring and control. Real-time environmental data is visualized through an interactive digital twin, enabling farmers to simulate and automate irrigation decisions effectively. The pilot implementation in Indonesia demonstrated improved soil moisture consistency and a 22% reduction in water usage (Abdulrazzaq et al., 2021). Key challenges such as connectivity, cost, and XR accessibility are discussed, alongside future integration of AI agents and predictive analytics to further enhance system intelligence and scalability.
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