{"title":"A Systematic Literature Review on Smart Waste Management Using Machine Learning","authors":"Hamid Umer, Awais Ahmed, Farman Ali, Syed Sarmad Ali, Munim Ali Khan","doi":"10.1109/MAJICC56935.2022.9994104","DOIUrl":null,"url":null,"abstract":"Waste management is a difficult problem for both developed and developing countries. One of the biggest problems is that trash cans in public areas often overflow long before the next scheduled cleaning. Waste management causes high levels of gases, insects, and houseflies, which can cause serious health problems. This study presents a systematic literature review on smart waste management using machine learning. With machine learning, the system may enhance waste disposal using the quickest route. The ML-IoT-based design incorporates equipment to determine the weight of the waste, which adjusts to the network environment and contains information regarding waste management. Comparing the studies are meant to give the reader a complete picture of the smart waste management domain.","PeriodicalId":205027,"journal":{"name":"2022 Mohammad Ali Jinnah University International Conference on Computing (MAJICC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Mohammad Ali Jinnah University International Conference on Computing (MAJICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MAJICC56935.2022.9994104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Waste management is a difficult problem for both developed and developing countries. One of the biggest problems is that trash cans in public areas often overflow long before the next scheduled cleaning. Waste management causes high levels of gases, insects, and houseflies, which can cause serious health problems. This study presents a systematic literature review on smart waste management using machine learning. With machine learning, the system may enhance waste disposal using the quickest route. The ML-IoT-based design incorporates equipment to determine the weight of the waste, which adjusts to the network environment and contains information regarding waste management. Comparing the studies are meant to give the reader a complete picture of the smart waste management domain.