Domestic Hibiscus rosa-sinensis culture APP based on big data and image recognition

Abstract

The invention discloses a domestic Hibiscus rosa-sinensis culture APP based on big data and image recognition, characterized in that after logging in to the APP, a user uses a camera to scan a stem-leaf and flower part of a plant of Hibiscus rosa-sinensis, the APP automatically transmits picture data of the sample of Hibiscus rosa-sinensis and geographic positional data to a cloud server, the cloud server determines the sample being Hibiscus rosa-sinensis and its growth condition and disease and pest damage condition through image recognition technique, data close to the geographic position of the sample and similar to the growth condition is called from a big database of Hibiscus rosa-sinensis to carry out comparison, and a culture method for the sample of Hibiscus rosa-sinensis is acquired and pushed to the APP. In this way, the APP enables a user having no Hibiscus rosa-sinensis culture knowledge to quickly and precisely analyze the growth condition of planted Hibiscus rosa-sinensis by the simple operation of APP scanning, and guides the user to take scientific and reasonable pest and disease damage control measures and daily culture measures.

Description

technical field [0001] The present invention relates to the field of big data and image recognition, in particular to an APP for family maintenance of hibiscus flowers based on big data and image recognition. Background technique [0002] With the improvement of urban residents' requirements for the home environment, more and more users plant hibiscus at home. However, most of the people who grow flowers at home lack professional knowledge, and the main purpose is to enjoy the fun brought by hibiscus to life, not to study The agricultural knowledge that is unfamiliar to urban residents, and the urban population has a fast pace of life, so they have less time and energy to learn agricultural knowledge that they are not interested in. However, hibiscus is a relatively delicate flower variety, and it is easy to be destroyed if it is not properly maintained. When the hibiscus flowers planted by oneself suffer from diseases and insect pests, it is often difficult to distinguish t...

AI Technical Summary

Problems solved by technology

[0002] With the improvement of urban residents' requirements for the home environment, more and more users plant hibiscus at home. However, most of the people who grow flowers at home lack professional knowledge, and the main purpose is to enjoy the fun brought by hibiscus to life, not to study The agricultural knowledge that is unfamiliar to urban residents, and the urban population has a fast pace of life, so they have less time and energy to learn agricultural knowledge that they are not interested in. However, hibiscus is a relatively delicate flower variety, and it is easy to be destroyed if it is not properly maintained. When the hibiscus flowers planted by oneself suffer from diseases and insect pests, it is often difficult to distinguish the type of disease and insect pests with the naked eye and to find the correct method to prescribe the right medicine based on their own experience. The traditional method is to take photos and upload them to Internet forums to ask other people for help , but this method is slow to take effect, and it is difficult for users to distinguish and take correct measures when encountering netizens who disagree with each other, resulting in delayed treatment of diseases and insect pests suffered by hibiscus flowers, resulting in poor growth or even death. The APP of big data and image recognition for family maintenance of hibiscus flowers uses big data and image recognition technology to provide users with the help of cloud computing. Scientific Conservation Measures

Images