• Energy Research

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.

Abstract E-Rickshaw provides environment friendly, in-expensive, time-effective, suitable mode of transportation and plays a vital role in transportation in cities. E-Rickshaw lacks regularization, frequency and management, which increases the burden on the E-Rickshaw management system. Paper aims at developing a real-time RFID based E-Rickshaw Management System for small scale farmers, which focuses on scheduling the e-rickshaw according to passenger demand in a real time environment. The main focus of this system is to evolve user friendly, flexible and convenient E-Rickshaw management system for small scale farmers that would cater the needs of vegetables and fruits and reduce the traffic congestion in the city. This Real Time-Based System is helpful, precise, secure and flexible. The system will use Global Positioning System (GPS) and Radio Frequency Identification Tags (RFID) to get the location of E-Rickshaw and information about passengers and drivers. The system will be working on Real Time with a merged function of RFID and GPS which will sustain the detailed information about farmers and E-Rickshaw.