APP based on big data and image recognition and used for household maintenance of cyclamen

Abstract

The invention discloses an APP based on big data and image recognition and used for household maintenance of cyclamen. The APP is characterized in that a user scans stems, leaves and flowers of the cyclamen with a camera after logging in the APP, the APP automatically sends picture data of cyclamen samples and geographical position data to a cloud server, and the cloud server judges the samples are cyclamen as well as growth and pest and disease damage conditions of the cyclamen with an image recognition technology; data with close geographical positions and similar growth conditions of the samples are called from a cyclamen big database, so that a maintenance method of the cyclamen samples is obtained and pushed to the APP. With the adoption of the scheme, the user having no cyclamen maintenance knowledge can quickly and precisely analyze the growth condition of the planted cyclamen by simply scanning the cyclamen with the APP and is guided to take scientific and reasonable pest and disease control and daily maintenance measures.

Description

technical field [0001] The invention relates to the field of big data and image recognition, in particular to an APP for family maintenance of cyclamen 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 cyclamen at home. However, most of the people who grow flowers at home lack professional knowledge, and the main purpose is to enjoy the joy of life brought by cyclamen. It is not necessary to study agricultural knowledge that is unfamiliar to urban residents, and urban people live in a fast pace, so they have less time and energy to learn agricultural knowledge that they are not interested in. However, cyclamen is a relatively delicate flower variety. Improperly vulnerable to pests and diseases. When the cyclamen planted by oneself suffers from pests and diseases, it is often difficult to distinguish the type of pests and diseases with the naked eye a...

AI Technical Summary

Problems solved by technology

[0002] With the improvement of urban residents' requirements for the home environment, more and more users plant cyclamen at home. However, most of the people who grow flowers at home lack professional knowledge, and the main purpose is to enjoy the joy of life brought by cyclamen. It is not necessary to study agricultural knowledge that is unfamiliar to urban residents, and urban people live in a fast pace, so they have less time and energy to learn agricultural knowledge that they are not interested in. However, cyclamen is a relatively delicate flower variety. Improperly vulnerable to pests and diseases. When the cyclamen planted by oneself suffers from pests and diseases, it is often difficult to distinguish the type of pests and diseases with the naked eye and to find the right method to prescribe the right medicine. 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 insist on their own opinions, resulting in delayed treatment of diseases and insect pests suffered by cyclamen, resulting in poor growth and even death. , and a family maintenance cyclamen APP based on big data and image recognition uses big data and image recognition technology to provide users with the help of cloud computing, so that users who do not understand the knowledge of cyclamen maintenance at all can also most Timely implementation of scientific conservation measures for sample cyclamen

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