Abstract: Water pollution in rivers poses significant challenges to ecosystems, public health, and overall environmental sustainability. This presents a river cleaning machine designed to address these issues by efficiently removing pollutants and improving water quality. The machine integrates advanced technologies and innovative approaches to tackle various forms of pollution and ensure effective river cleaning. The river cleaning machine utilizes robotics and automation to navigate waterways autonomously. Equipped with sophisticated sensors, it can detect and identify different types of pollutants, including floating debris, chemical contaminants, and organic waste. Through a combination of mechanical filtration systems and selective suction mechanisms, the machine efficiently collects and removes these pollutants from the water. To optimize cleaning operations, the machine employs machine learning algorithms that allow it to learn and adapt to different river environments. This adaptability enables the machine to enhance its performance over time by refining its pollutant detection capabilities and optimizing its cleaning strategies. Additionally, the machine incorporates real-time monitoring sensors to assess water quality parameters such as pH levels, dissolved oxygen, and turbidity, providing valuable data for environmental analysis. The river cleaning machine's design promotes environmental sustainability by integrating energy-efficient technologies and exploring renewable energy sources. By utilizing solar power or other eco-friendly energy options, the machine minimizes its carbon footprint and reduces reliance on fossil fuels.

PDF | DOI: 10.17148/IARJSET.2023.10646

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