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

A technology of image recognition and peony flowers, which is applied in the fields of digital data processing, character and pattern recognition, and special data processing applications, etc., can solve problems such as lack of professional knowledge, slow results, and damage caused by pests and diseases in maintenance, and reduce the cost of Work and life are beautiful

Inactive Publication Date: 2017-07-04
湖南威达科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the improvement of urban residents' requirements for the home environment, more and more users plant peonies 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 peony flowers to life, 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 little time and energy to learn agricultural knowledge that they are not interested in. However, peony is a relatively delicate flower variety, and it is easy to suffer from improper maintenance. When the peony flowers planted by oneself suffer from pests and diseases, it is often difficult to distinguish the type of pests and diseases with the naked eye and 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 method is slow to take effect, and it is difficult for users to distinguish and take correct measures when encountering netizens holding their own opinions, resulting in delayed treatment of diseases and insect pests suffered by peony flowers, resulting in poor growth or even death. Big data and image recognition APP for family peony flower maintenance uses big data and image recognition technology to provide users with the help of cloud computing, allowing users who have no knowledge of peony flower maintenance to implement the most timely implementation Scientific Conservation Measures

Method used

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  • APP based on big data and image identification for household cultivating and maintaining peony

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Embodiment Construction

[0017] The present invention will be further described below in conjunction with the accompanying drawings.

[0018] Such as figure 1 As shown, it is an APP for home maintenance of peony flowers based on big data and image recognition, including the following steps:

[0019] Step 1: Equip the smart phone hardware with a high-definition camera with an APP based on big data and image recognition for home maintenance of peony flowers, connect the APP application with cloud big data and image recognition system, and build a smart phone APP node, each APP node represents an APP user;

[0020] Step 2: When the user logs in to the APP, the APP automatically transmits the APP application information of the user's geographic location and travel mode to the big data analysis system in the cloud;

[0021] Step 3: The user turns on the built-in image recognition function of the APP, and scans the stems, leaves and flowers of the peony with the camera of the smartphone. After the scan is...

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Abstract

The invention discloses an APP based on big data and image identification for household cultivating and maintaining peony. 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 peony; the APP can automatically send the image data of the peony samples and the geographic position data to a cloud server; the cloud server uses image identification technology to determine that the samples are peony 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 peony big database for comparison so as to get cultivating methods for the peony samples and push the methods to the APP. By means of the above method, users who do not have cultivating knowledge of peony can rapidly and accurately analyze the growth condition of the cultivated peony 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 present invention relates to the field of big data and image recognition, in particular to an APP for home maintenance of peonies 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 peonies 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 peony flowers to life, 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 little time and energy to learn agricultural knowledge that they are not interested in. However, peony is a relatively delicate flower variety, and it is easy to suffer from improper maintenance. When the peony flowers planted by oneself suffer from pests and diseases, it is often difficult to distinguish the type of pests and diseases w...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G06F17/30G06K9/00H04L29/08H04M1/725
CPCG06F16/9535G06F16/9537H04M1/72406G06V20/10H04L67/52
Inventor石杨
Owner湖南威达科技有限公司