A Systematic Literature Review on Smart Waste Management Using Machine Learning

Hamid Umer, Awais Ahmed, Farman Ali, Syed Sarmad Ali, Munim Ali Khan
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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.
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利用机器学习进行智能废物管理的系统文献综述
废物管理对发达国家和发展中国家都是一个难题。其中一个最大的问题是,公共区域的垃圾桶往往在下一次计划清洁之前很久就满了。废物管理导致大量的气体、昆虫和家蝇,这可能导致严重的健康问题。本研究对使用机器学习的智能废物管理进行了系统的文献综述。通过机器学习,该系统可以使用最快的路线来加强废物处理。基于ml - iot的设计包含确定废物重量的设备,该设备可适应网络环境并包含有关废物管理的信息。比较研究是为了给读者一个完整的图片智能废物管理领域。
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