Abstract
After the mechanical transformation and development in innovation in recent decades, there has been a fast increment in the assembling ventures and its squanders as a result of which huge amounts of wastes are generated. These wastes contain harmful elements, gases, and toxic substances. The decomposition and degradation of certain wastes generate landfill harmful gases. The wastes and gases lead to soil, air, and water pollution. To manage these wastes in an effective way we propose an approach that can provide a way of monitoring the wastes and the gas levels and managing it by taking measures. The idea is to make use of certain sensors or cells that detect changes in the wastes and gas levels. Making use of concepts of IoT, machine learning, and graphical representations to provide information about the current and future level changes in the wastes and gases in the regions where sensors are located. In this paper, we are focusing on the levels of changes in gaseous wastes including landfill gases generated due to the wastes in the various regions. The prediction results of the gas levels can help in taking preventive and precautionary measures for proper management and disposal of these wastes.
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Bhanuja, V., Varangaonkar, R., Girdhar, Y., Kannan, K. (2021). Waste Management System: Approach with IoT, Prediction, and Dashboard. In: Bhateja, V., Peng, SL., Satapathy, S.C., Zhang, YD. (eds) Evolution in Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1176. Springer, Singapore. https://doi.org/10.1007/978-981-15-5788-0_37
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DOI: https://doi.org/10.1007/978-981-15-5788-0_37
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