Abstract
Environmental monitoring has become increasingly vital in the face of global climate change, pollution, and resource management challenges. Intelligent embedded systems offer a scalable and energy-efficient platform for continuous environmental sensing and data collection. These systems integrate sensors, microcontrollers, edge processing, and wireless communication within compact architectures to capture real-time data across distributed environments. This paper explores the design, implementation, and applications of intelligent embedded systems in environmental domains, highlighting their capability for autonomous operation, data accuracy, and adaptive response. Key advancements include low-power hardware design, AI-based data filtering, and integration with IoT and cloud platforms. The paper outlines current trends and future opportunities for deploying these systems in agriculture, urban air quality monitoring, and water management.
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