👉 Pollution computing refers to the use of computational resources and techniques to monitor, analyze, and mitigate environmental pollution. This field leverages data from various sensors and IoT devices to collect real-time information on air, water, and soil quality, providing insights into pollution levels and sources. By employing machine learning and big data analytics, pollution computing can predict pollution trends, optimize resource allocation for cleanup efforts, and support policy-making to reduce emissions. It also facilitates the development of smart solutions, such as adaptive traffic management systems that minimize vehicle emissions or predictive maintenance for industrial facilities to prevent leaks and spills. Overall, pollution computing aims to create a more sustainable and environmentally conscious approach to managing pollution through advanced computational methods.
