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

Abstract

The invention discloses a big data and image recognition-based APP (application) for domestic cultivation of lilies. The application is characterized in that: after logging in the APP, a user scans stem, leaf and flower portions of a lily through using a camera, the APP automatically sends the picture data of a lily sample and the geographical location data of a geographical location where the lily is cultivated to a cloud server, the cloud server judges that the sample is a lily and the growth, pest and disease situations of the lily through using image recognition technologies; and data about lilies which are closed to the geographical location and have similar growth conditions with the lily sample are called from a lily database, so that a cultivation method for the lily 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 lily 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 lily 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 lilies 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 lilies 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 lilies to life, not to study The agricultural knowledge that is unfamiliar to urban residents, and the urban population has a fast pace of life, and they have little time and energy to learn agricultural knowledge that they are not interested in. However, lily is a relatively delicate flower variety, and it is easy to suffer from improper maintenance. When the lilies planted by oneself suffer from diseases and insect pests, it is often difficult to distinguish the type of disease and insect pests with the nak...

AI Technical Summary

Problems solved by technology

[0002] With the improvement of urban residents' requirements for the home environment, more and more users plant lilies 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 lilies to life, not to study The agricultural knowledge that is unfamiliar to urban residents, and the urban population has a fast pace of life, and they have little time and energy to learn agricultural knowledge that they are not interested in. However, lily is a relatively delicate flower variety, and it is easy to suffer from improper maintenance. When the lilies 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 rely on their 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 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 lily pests and diseases, resulting in poor growth or even death. Big data and image recognition home care lily APP uses big data and image recognition technology to provide users with the help of cloud computing, so that users who have no knowledge of lily maintenance can implement the sample lily in the most timely manner. Scientific Conservation Measures

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