The intersection of cyber-physical systems, artificial intelligence, and environmental monitoring represents one of the most promising frontiers in addressing global sustainability challenges. This book emerges from practical research conducted on the Zambian Copperbelt-a region where over a century of copper mining has created profound environmental legacies that continue to affect local communities and ecosystems.The work presented here began as a research investigation into developing practical, deployable solutions for water quality monitoring in mining-affected regions. What started as a focused study on integrating RISC-V processors with adaptive LoRa mesh networks has evolved into a comprehensive framework that addresses the full spectrum of challenges in building robust environmental monitoring systems for resource-constrained contexts.