Published Paper Details:

The increasing volume of organic waste in urban areas necessitates an intelligent waste management system to enhance efficiency and sustainability. This study examines the logistic framework of organic waste management using smart dustbins integrated with IoT, AI-driven waste classification, and automated collection strategies. By leveraging sensor technology, real-time data analytics, and optimized waste transport, smart dustbins can revolutionize traditional waste disposal methods. Smart dustbins monitor waste levels, segregate biodegradable materials, and transmit data to waste collection units, enabling predictive waste collection scheduling and fuel-efficient route planning. The research underscores the importance of public-private collaboration, smart city integration, and sustainable policy frameworks to promote efficient organic waste logistics. By combining automation, data intelligence, and circular economy principles, smart waste management systems can minimize carbon footprints and foster eco-friendly urban environments. Proper waste management is essential for environmental sustainability. This study examines the municipal solid waste management and disposal methods in Yavatmal district, Maharashtra, India, analyzing waste composition, characteristics, and associated environmental concerns. Primary data was collected through structured questionnaires from randomly selected populations in areas with significant waste findings reveal that both designated and non-designated waste dumps remain unattended for prolonged periods, leading to road encroachments, pollution, and aesthetic degradation of the metropolis Findings reveal that both designated and non-designated waste dumps remain unattended for prolonged periods, leading to road Encroachments, pollution, and aesthetic degradation of the metropolis.