Household Cymbidium goeringii maintenance APP based on big data and image recognition

Abstract

The invention discloses a household Cymbidium goeringii maintenance APP based on big data and image recognition. The APP is characterized in that after a user logs in the APP, stem, leaf and flower parts of Cymbidium goeringii are scanned through utilization of a camera; the APP automatically sends image data and geographical location data of a Cymbidium goeringii sample to a cloud server; the cloud server judges that the sample is the Cymbidium goeringii and judges the growth condition and the disease and pest condition of the Cymbidium goeringii through adoption of an image recognition technology; data of the Cymbidium goeringii of which geographical location is near to that of the sample and growth condition is similar to that of the sample is called from a Cymbidium goeringii big database for comparison, a maintenance method for the sample Cymbidium goeringii is obtained and the method is pushed to the APP. Through application of the mode, according to the APP, a user without any Cymbidium goeringii maintenance knowledge is enabled to analyze the growth condition of the planted Cymbidium goeringii rapidly and precisely through simple scan operation with the help of the APP, and the user is instructed to take scientific and reasonable disease and pest 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 Chunlan 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 Chunlan at home. However, most of the people who grow flowers at home lack professional knowledge, and the main purpose is to enjoy the fun of Chunlan in life, rather than to study those who are interested in Chunlan. Agricultural knowledge is unfamiliar to urban residents, and urban people live in a fast pace, so they have little time and energy to learn agricultural knowledge that they are not interested in. However, Chunlan is a relatively delicate flower variety, and it is easy to be damaged by diseases and insect pests if not properly maintained. Injury, when the Chunlan planted by oneself is infested with diseases and insect pests, it is often dif...

AI Technical Summary

Problems solved by technology

[0002] With the improvement of urban residents' requirements for the home environment, more and more users plant Chunlan at home. However, most of the people who grow flowers at home lack professional knowledge, and the main purpose is to enjoy the fun of Chunlan in life, rather than to study those who are interested in Chunlan. Agricultural knowledge is unfamiliar to urban residents, and urban people live in a fast pace, so they have little time and energy to learn agricultural knowledge that they are not interested in. However, Chunlan is a relatively delicate flower variety, and it is easy to be damaged by diseases and insect pests if not properly maintained. Injury, when the Chunlan planted by oneself is infested with diseases and insect pests, it is often difficult to distinguish the type of diseases and insect pests with the naked eye and rely 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 it is difficult for users to distinguish and take correct measures when encountering netizens who disagree with each other. As a result, the treatment of diseases and insect pests suffered by Chunlan is delayed, resulting in poor growth and even death. However, a method based on big data and image recognition The APP of family maintenance Chunlan adopts big data and image recognition technology to provide users with the help of cloud computing, so that users who have no knowledge of Chunlan maintenance can implement scientific maintenance measures for sample Chunlan in the most timely manner

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