APP for family conservation of Begonia flower based on big data and image recognition

Abstract

The invention discloses an APP for family conservation of Begonia flowers based on big data and image recognition. The APP is characterized by comprising the following steps: a user adopts a camera to scan the stem, leaf and flower parts of Begonia flowers after logging in to the APP, the APP automatically sends the picture data and geographic location data of a Begonia flower sample to a cloud server, and the cloud server determines that the sample is the Begonia flower and judges the growth conditions as well as disease and pest conditions of the sample by adopting an image recognition technology; and the data which has the close geographic location and similar growth conditions with the sample is called from a big database of the Begonia flowers to compare with the data of the sample, and thus a conservation method for the Begonia flowers of the sample can be obtained and pushed to the APP. Through the above mode, by adopting the APP disclosed by the invention, the user completely lack of the knowledge of Begonia flower conservation can rapidly and accurately analyze the growth conditions of the cultivated Begonia flowers by adopting a simple operation of APP scanning, and the user can be guided to take scientific and reasonable measures for disease and pest control and routine 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 crabapple flowers 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 crabapple flowers 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 life brought by crabapple flowers, rather than research The agricultural knowledge that is unfamiliar to urban residents, and the urban population has a fast pace of life, so they have little time and energy to learn agricultural knowledge that they are not interested in. However, crabapple is a relatively delicate flower variety, and it is easy to be destroyed if it is not properly maintained. When the begonias planted by yourself suffer from 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 crabapple flowers 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 life brought by crabapple flowers, rather than research The agricultural knowledge that is unfamiliar to urban residents, and the urban population has a fast pace of life, so they have little time and energy to learn agricultural knowledge that they are not interested in. However, crabapple is a relatively delicate flower variety, and it is easy to be destroyed if it is not properly maintained. When the begonias planted by yourself suffer from diseases and insect pests, it is often difficult to distinguish the type of disease and insect pests with the naked eye and to find the correct method to prescribe the right medicine. The traditional method is to take photos and upload them to Internet forums to ask other people 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 diseases and insect pests suffered by crabapple flowers, resulting in poor growth or even death. Big data and image recognition app for home care of crabapple flowers uses big data and image recognition technology to provide users with cloud computing assistance, allowing users who have no knowledge of crabapple flower maintenance to implement the most timely implementation of sample crabapple flowers Scientific Conservation Measures

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