Engineering

Ecology

Biology

Pollution

Microcontroller

Embedded system

Computer security

Ophthalmology

Computer science

Business

International trade

Waste management

Internet of Things

Truck

Automotive engineering

Environmental science

Globe

Medicine

Arduino

Dumping

Computational Intelligence and Neuroscience

A rapid rise in inhabitants across the globe has led to the inadmissible management of waste in various countries, giving rise to various health issues and environmental pollution. The waste-collecting trucks collect waste just once or twice in seven days. Due to improper waste collection practices, the waste in the dustbin is spread on the streets. Thus, to defeat this situation, an efficient solution for smart and effective waste management using machine learning (ML) and the Internet of Things (IoT) is proposed in this paper. In the proposed solution, the authors have used an Arduino UNO microcontroller, ultrasonic sensor, and moisture sensor. Using image processing, one can measure the waste index of a particular dumping ground. A hardware prototype is also developed for the proposed framework. Thus, the presented solution for the efficient management of waste accomplishes the aim of establishing clean and pollution-free cities.

Machine Learning and IoT-Based Waste Management Model