This article discusses the potential of edge computing and artificial intelligence in optimizing LoRa-based IoT applications. It highlights various use cases such as agricultural monitoring, energy management, and landslide monitoring, where edge computing can improve data rates, scalability, and latency. The article also introduces a long-range, energy-efficient vision node called EdgeEye, which utilizes low-power processors and cameras for long-term edge computing.
