| With the construction and development of green cities,the coverage rate of urban vegetation has increased significantly.Plant viewing has progressively become a fashion activity,and the interest of plant learning for the public is increasing.Plant information APPs has came to reality along with the rapid development of mobile internet technology.Current APPs mainly use AI to recognize plants and provide very limited ways for the looking up of plants,which cannot meet the requirements of the public.A mobile APP for plant science and technology is designed,which provides fast,comprehensive and shared plant information.This APP utilizes Cordova and Spring Boot which are current mainstream hybrid mobile development framework,designs the functionalities of plant information and interactive communication between experts and the public.The APP is developed using C/S architecture,and the front-end pages and back-end logic are designed and implemented respectively.A third-party artificial intelligence library is used to recognize the plant pictures,and recognition results are used to train and improve the recognition.A plant database is built for query.A one-to-one interactive communication module is designed,which implements the questioning and answering between experts and the public This APP provides not only plentiful plant information but also professional knowledge exchange,and can help improve the efficiency of plant information and knowledge sharing.This APP utilizes real-time positioning and photo recognizing to realize the rapid sharing of plant information resources,and provide a platform for plant information,question and answer functionality and experience sharing. |