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Statistical Analysis for Land Use Plastic Waste in India using AI
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Researchers applied AI-based statistical modeling to analyze plastic waste generation data across Indian states and urban local bodies over a decade, estimating approximately 3.47 million tonnes of plastic waste produced annually in 2019-20. The study projected future generation rates by state and recommended targeted mitigation measures for high-generation regions, addressing gaps in India's plastic waste quantification infrastructure.
India faces a major problem of Plastic Waste Management, where urbanization, industrialization, and economic growth have contributed to an increase in plastic waste generation. The rapidly growing population and the improved living standards have only worsened this problem. As per details provided by 35 Indian States/Union Territories, estimated plastic waste generation during the financial year 2019-20 is approximately 34,69,780 tonnes per annum. Solid waste collection, transportation, treatment, and disposal costs for Urban Local Bodies (ULBs) range from Rs.500 to Rs.1,500 per tonne. However, very little money is invested in scientific plastic waste disposal. Statistics on plastic waste generation are insufficient since quantified treatment of environmental issues is difficult. The problem with the data on plastic waste generation in India is that it has extrapolated values from a study prepared by the Central Pollution Control Board (CPCB) [12] . Moreover, most of the existing systems discuss the analysis of the amount of plastic waste generated in a specific area and fail to discuss the rate of growth and amount of plastic waste generation in the next few years. The proposed work calculated the amount of plastic generated in different states and ULBs of India for the past 10 years and thereby predicted the amount of plastic that will be generated in the following 10 years, thus suggesting mitigation measures in places having high amounts of plastic waste generation
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