Household matthiola incana maintenance APP based on big data and image identification

Abstract

The invention discloses a household matthiola incana maintenance APP based on big data and image identification. The APP is characterized by scanning stem, leaf and flower parts of a matthiola incana by employing a camera after a user logs in the APP, so that the APP automatically sends picture data of a matthiola incana sample and geographical position data where the matthiola incana sample locates to a cloud server, and the cloud server judges out that the sample is the matthiola incana as well as a growth condition and a pest and disease damage condition thereof by employing an image identification technology; and then, calling data having a close geographical position and a similar growth condition with the sample from a matthiola incana big data to compare, thereby obtaining a maintenance method for the matthiola incana sample and pushing the maintenance method to the APP. Through the above manner, the household matthiola incana maintenance APP disclosed by the invention can enable a user who completely has no matthiola incana maintenance knowledge to quickly and precisely analyze the growth condition of the planted matthiola incana by employing a simple sweeping operation of the APP, thereby instructing the user to adopt a scientific and reasonable measure for prevention and treatment of pest and disease damages and for daily maintenance.

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 violets 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 violets 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 violets to life, rather than to study those who are interested in violets. 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, violet 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 violets planted by oneself are infested by diseases and insect pe...

AI Technical Summary

Problems solved by technology

[0002] With the improvement of urban residents' requirements for the home environment, more and more users plant violets 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 violets to life, rather than to study those who are interested in violets. 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, violet 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 violets planted by oneself are infested by diseases and insect pests, it is often difficult to distinguish the type of diseases and insect pests with the naked eye and 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 to ask 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 violets is delayed, resulting in poor growth and even death. However, a method based on big data and image recognition The APP of home care violets uses big data and image recognition technology to provide users with the help of cloud computing, allowing users who have no knowledge of violet maintenance to implement scientific maintenance measures for sample violets in the most timely manner

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