APP for family cultivation of Rhododendrons based on big data and image identification

Abstract

The invention discloses an APP for family cultivation of Rhododendrons based on big data and image identification. The APP is characterized in that after a user logins the APP, stems, leaves and flowers are scanned by a camera, the APP automatically sends image data and location geographic position data of a Rhododendrons sample to a cloud server, and the cloud server judges that the sample is Rhododendrons and judges out the growth conditions and disease and pest damage conditions by means of the image identification technology; then the cloud server retrieves data of geographic position and growth conditions similar to the geographic position and growth conditions of the sample in a big Rhododendrons database for comparison, and accordingly, the cultivation method for the Rhododendrons sample is obtained and pushed to the APP. In this way, the APP enables a user having no Rhododendrons cultivation knowledge to quickly and accurately analyze the growth conditions of the cultivated Rhododendrons through simple scanning operation with the APP, and the user is induced to adopt scientific and reasonable pest and disease control and daily maintenance 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 rhododendrons 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 azaleas 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 azaleas 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, Rhododendron is a relatively delicate flower variety, and it is easy to be destroyed if it is not properly maintained. When the rhododendrons planted by themselves suffer from diseases and insect pests, it is often difficult to distinguish...

AI Technical Summary

Problems solved by technology

[0002] With the improvement of urban residents' requirements for the home environment, more and more users plant azaleas 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 azaleas 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, Rhododendron is a relatively delicate flower variety, and it is easy to be destroyed if it is not properly maintained. When the rhododendrons planted by themselves suffer from diseases and insect pests, it is often difficult to distinguish the type of disease and insect pests with the naked eye and based 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 disagreeing, resulting in delayed treatment of diseases and insect pests suffered by Rhododendron, resulting in poor growth or even death. Big Data and Image Recognition Home Care Rhododendron APP uses big data and image recognition technology to provide users with the help of cloud computing, allowing users who have no knowledge of azalea maintenance to implement the most timely implementation Scientific Conservation Measures

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