Research on the Help of Roadside Tree Defoliation Index to Urban Environmental Protection Based on Machine Learning
Since the 19th CPC National Congress,General Secretary Xi has emphasized that the development of megacities should make more use of the new generation of information technology,and improve the level of scientific,refined and intelligent management of cities.In the report of the 20th CPC National Congress,it is once again proposed to build Digital China,improve the level of urban governance,and realize the digital transformation of cities.This paper takes the"Deciduous Leaf Index"independently developed by Shanghai Jing'an Urban Development(Group)Co.,Ltd.as an example.Relying on machine learning algorithm technology,the paper studies the influencing factors of roadside tree shedding.By building a prediction model,the paper accurately predicts the information of deciduous leaves,so as to make the road cleaning scheduling and deployment more scientific,and realize the transformation of management mode to data management,quantitative management and refined management.
Digital Chinaurban governancedigital transformationroadside treedefoliation index
万方数据
维普
