APP based on big data and image identification for household cultivating and maintaining asparagus fern

Abstract

The invention discloses an APP based on big data and image identification for household cultivating and maintaining asparagus fern. The APP is characterized in that after a user logs in the APP, the user uses a camera to scan the stem, leaf and flower parts of asparagus fern; the APP can automatically send the image data of the asparagus fern samples and the geographic position data to a cloud server; the cloud server uses image identification technology to determine that the samples are asparagus fern and the growth condition and insect disease cases; then the cloud server calls data of geographic position and growth condition which are similar to the samples from asparagus fern big database for comparison so as to get cultivating methods for the asparagus fern samples and push the methods to the APP. By means of the above method, users who do not have cultivating knowledge of asparagus fern can rapidly and accurately analyze the growth condition of the cultivated asparagus fern through simple operation of APP scanning and therefore the users are guided to adopt scientific and reasonable insect disease control and daily maintenance.

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 asparagus bamboo 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 asparagus bamboo 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 asparagus bamboo, not to study The agricultural knowledge that is unfamiliar to urban residents, and the urban population has a fast pace of life, so they have less time and energy to learn agricultural knowledge that they are not interested in. When the Asparagus bamboo planted by oneself suffers from pests and diseases, it is often difficult to distinguish the type of pests and diseases with the naked eye based on one’s own experience, so it is difficult to find the correct met...

AI Technical Summary

Problems solved by technology

[0002] With the improvement of urban residents' requirements for the home environment, more and more users plant asparagus bamboo 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 asparagus bamboo, not to study The agricultural knowledge that is unfamiliar to urban residents, and the urban population has a fast pace of life, so they have less time and energy to learn agricultural knowledge that they are not interested in. When the Asparagus bamboo planted by oneself suffers from pests and diseases, it is often difficult to distinguish the type of pests and diseases with the naked eye 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 photos 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 diseases and insect pests suffered by asparagus bamboo, resulting in poor growth or even death. The APP of big data and image recognition for family maintenance of asparagus bamboo adopts big data and image recognition technology to provide users with the help of cloud computing, so that users who have no knowledge of asparagus bamboo maintenance can carry out the most timely implementation of sample asparagus bamboo Scientific Conservation Measures

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