Abstract: This collection of papers explores various methodologies for dry waste management. It presents creative solutions to various range of problems. Topics covered in these papers include IoT technology, Deep Learning, and Machine Learning, approach. Methodologies approach are described for tasks including classification of solid wastes, trash management, recycling using technologies like Bluetooth and IoT, Arduino microcontroller, Moisture sensor. The research also investigates the effects of dry waste management on the environment and suggests an information architecture. Overall these papers address important challenges in the environment and make a sustainable contribution to efficient and sustainable environment.

Keywords: Automatic waste sorters, Satellite units, Automated system, Computer vision, Biodegradable, PET bottles.

Cite:
Afra Furkheen, Vanisha M, Sannidhi Joshi , Sanjay B , Sandeep Naidu , Roopa K Murthy, "A SURVEY ON DRY WASTE MANAGEMNT", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 2, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11208.

| DOI: 10.17148/IARJSET.2024.11208