| China is one of the most abundant plant resources in the world,with more than 30000 species of plants,second only to the world’s richest plant in Malaysia and Brazil,the third largest in the world,of which ferns and seed plants account for 22%and 36.7%of the world’s known species,only in Pakistan and Columbia;the total number of gymnosperms is 26.7%in the world,and is known as"gymnosperm"."The hometown of things",while angiosperms account for 10%of the total,ranking the highest in the world.Almost all the main plants of cold,warm and hot vegetation in the northern hemisphere can be seen in China.A large number of plants have bred unique plant culture in the long history of China.In the Chinese plant culture,the most famous is the Chinese garden culture.China is known as the "mother of the garden".Not only is the garden tree rich in resources,but also has a rich history of the use and collocation of plants.Garden culture is not only found in botanical gardens and traditional cultural scenes,but also in schools,parks,etc.But in these scenes,there are few effective applications to popularize the plant culture.For microgeographic entities like plants,they lack the means to guide the people to effectively browse the plants around them.Therefore,we need to develop a reasonable and effective push strategy based on location information and user preferences,to push the data of related plants to the users who are browsing the plant landscape and other related information in real time,and to show the beauty of the culture to the users in the best experience and the most reasonable way.Based on the campus scenes with obvious characteristics of plant garden design,this paper independently developed and designed the campus plant push system(APP)based on LBS and deep learning.The system uses object-oriented advanced programming language Java,based on the Tomcat and Java-servlet-web framework to develop and build a server on the IDEA platform.The data used by the remote sensing image as the reference object and ESRI company Arcmap products are processed to generate data tables.The system uses PostgreSQL relational database to store data tables,and then manage and manage basic vegetation data and spatial information.On the client side,the system is developed by Java,based on ArcGIS for Android,and is packaged on Android Studio.The system can be divided into three parts,which are vegetation data collection based on user location and personal habit information,server acceptance data,analysis and result feedback,which have good controllability for response and data interaction.The whole process is based on LBS,hardware sensor.It can meet the user preferences and real-time location information to a certain extent.It avoids the subjective error and empiricism of empty guessing for users,and ensures the quality and hommization of the push. |