CHALLENGES OF SOLID WASTE MANAGEMENT USING ARTIFICIAL INTELLIGENCE

Usually, waste management involves a range of technological, climate, financial, geographic, socioeconomic and governmental criteria. In the manufacturing and supply cycle, management of solid waste is the consequence of human activity. In Cambodia, the sudden increase of urban solid waste production creates major rises and detrimental impacts on the atmosphere and public health, as a result of the improper solid waste management scheme. This paper analyses the various Artificial intelligence (AI) models and strategies for the administration and deployment of organic waste as well as the reports on reporting output criteria for the implementation of these frameworks. The whole research applies to check the cumulative estimation of residential, residential and construction and development (C&D) waste composition through a multi-layered feed - forward neural artificial neural network (MLP-ANN).