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How can long-range, low-power IoT networks be designed for reliable sensing in agricultural soils and wild fields? The group develops LoRa-enabled, space-air-ground integrated networks and FarmEye for large-scale agricultural data collection to support long-term sensing. Researchers build ultra-sensitive signal detection and Deep-Range low-power methods for extending IoT communication range while preserving energy efficiency. The team integrates soil-aware transmission control (Kairos) and passive sensing platforms to enable robust cross-soil LoRa performance and soil nutrient sensing. The lab applies edge intelligence and geo-distributed federated learning (GeoFL) to enable efficient on-device model training across agricultural deployments.
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Internet of Thingsedge computingAIoTmobile computing
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