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Smart city article details
| Title | The Use Of Modern Technology In Smart Waste Management And Recycling: Artificial Intelligence And Machine Learning |
|---|---|
| ID_Doc | 57123 |
| Authors | Gupta P.K.; Shree V.; Hiremath L.; Rajendran S. |
| Year | 2019 |
| Published | Studies in Computational Intelligence, 823 |
| DOI | http://dx.doi.org/10.1007/978-3-030-12500-4_11 |
| Abstract | Waste management is one of the primary problem that the world faces irrespective of the case of developed or developing country. The key issue in the waste management is that the garbage bin at public places gets overflowed well in advance before the commencement of the next cleaning process. It in turn leads to various hazards such as bad odor and ugliness to that place which may be the root cause for spread of various diseases. The increase in population, has led to tremendous degradation in the state of affairs of hygiene with respect to waste management system. The spillover of waste in civic areas generates the polluted condition in the neighboring areas. For eliminating or mitigating the garbage’s and maintains the cleanness, it requires smartness based waste management system. The need of proper waste management does not end with just collection and proper dispose of garbage. It continues to the level of landfills and the amount that we can possibly recycle. Recycling is estimated to be highly useful given that our dependency on raw products reduces, besides the reduction of waste and subsequent landfills. Once the recycling is done to sort metals, plastics, and glass articles, the use of biodegradable waste can be extended beyond fertilizers and manure. The metals can be reused and the plastics can be diverted from the landfills, which otherwise leads to choking of the earth. The glass materials can be broken and melted back to form new articles after deep cleaning. This chapter aims to understand the use of machine learning and artificial intelligence in the most potential areas and the ultimate need to completely replace the human interaction. © Springer Nature Switzerland AG 2019. |
| Author Keywords | Artificial intelligence in recycling; Artificial neural networks (ANN); Automation; Graph optimization; Graph theory; Graph theory optimization; Internet of things; Location intelligence; Machine learning; Smart city; Waste management |
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