Optimizing Waste Management in Smart Cities with Advanced Technologies
Authors/Creators
- 1. Assistant Professor, Department of Civil Engineering, RNS Institute of Technology, Bengaluru, Karnataka, India
- 2. UG Student, Department of Civil Engineering, RNS Institute of Technology, Bengaluru, Karnataka, India
Description
Abstract:
Cities around the world have faced serious challenges because of the fast urban population growth and the ensuing rise in waste generation. As a result, a revolutionary strategy is developing that incorporates cutting-edge technologies to produce waste management systems that are more sustainable and effective. This includes using artificial intelligence and machine learning algorithms for tasks like forecasting waste generation patterns and streamlining collection routes, as well as utilizing the Internet of Things to enable real-time monitoring of waste levels. Additionally, the integration of blockchain technology is being investigated to improve accountability and transparency across the waste management process, from collection to disposal. By tackling the intricacies of municipal solid waste, these technological developments collectively seek to create smarter, more ecologically friendly urban settings.
Keywords: Smart Cities, Waste Management, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning, Deep Learning, Blockchain, Data Analysis, Urbanization
Files
64.pdf
Files
(432.9 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:c72258c0adb666d182856e9e7b950158
|
432.9 kB | Preview Download |