Big data and image recognition-based APP (application) for domestic cultivation of poinsettias

Abstract

The invention discloses a big data and image recognition-based APP (application) for domestic cultivation of poinsettias. The application is characterized in that: after logging in the APP, a user scans stem, leaf and flower portions of a poinsettia through using a camera, the APP automatically sends the picture data of a poinsettia sample and the geographical location data of a geographical location where the poinsettia is cultivated to a cloud server, the cloud server judges that the sample is a poinsettia and the growth, pest and disease situations of the poinsettia through using image recognition technologies; and data about poinsettias which are closed to the geographical location and have similar growth conditions with the poinsettia sample are called from a poinsettia database, so that a cultivation method for the poinsettia sample can be obtained and is pushed to the APP. With the APP which is realized through the above manners adopted, a user with no poinsettia cultivation knowledge can perform the simple operation of the scanning function of the APP, so that the APP can analyze the growth situation of the cultivated poinsettia rapidly and accurately, and therefore, the user can be guided to take scientific and reasonable pest and disease control and prevention measures 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 home maintenance of poinsettia 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 poinsettia 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 poinsettia to life, rather than to study those who are interested in the poinsettia. Agricultural knowledge is not very familiar 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, poinsettia is a relatively delicate flower variety, and it is easy to be damaged by diseases and insect pests if it is not properly maintained. Injury, when the poinsettia planted by oneself suffers from disease...

AI Technical Summary

Problems solved by technology

[0002] With the improvement of urban residents' requirements for the home environment, more and more users plant poinsettia 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 poinsettia to life, rather than to study those who are interested in the poinsettia. Agricultural knowledge is not very familiar 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, poinsettia is a relatively delicate flower variety, and it is easy to be damaged by diseases and insect pests if it is not properly maintained. Injury, when the poinsettia planted by oneself suffers from diseases and insect pests, it is often difficult to distinguish the type of disease and insect pests with the naked eye based on one’s own experience, so it is difficult to find the correct method to prescribe the right medicine. The traditional method is to take pictures and upload them to Internet forums, asking others for help, but this kind of The method is slow to take effect, and when netizens disagree, it is difficult for users to distinguish and take correct measures. As a result, the treatment of poinsettia's diseases and insect pests is delayed, resulting in poor growth and even death. However, a method based on big data and image recognition The home maintenance poinsettia APP uses big data and image recognition technology to provide users with the help of cloud computing, allowing users who have no knowledge of poinsettia maintenance to implement scientific maintenance measures for sample poinsettia in the most timely manner

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