KR20190007186A - Talk with plant service system using mobile terminal and Method thereof - Google Patents

Abstract

Disclosed are a talk-with-plant service system where at least one terminal is connected through a network and a method thereof. The talk-with-plant service system comprises: a database part for storing plant information; a web server for receiving the image information of a plant from the terminal; and an information providing server for comparing the plant information stored in the database with the image information of the plant and recognizing the type of the plant and the current growth state and transmitting the information of plant nutrient corresponding to the current growth state to the terminal. In an embodiment of the present invention, there is no need for a separate sensor device for each pot. A plurality of pots and plants can be registered and managed with a single smartphone. The recommendation and purchase of a customized plant nutrient are convenient.

Description

[0001] The present invention relates to a system and a method for using a terminal,

[0001] The present invention relates to a system and method for controlling a plant and tok service using a terminal, and more particularly, it relates to a system and method for controlling a plant and a service using a terminal by using a mobile terminal such as a smart phone and a tablet PC, And to provide a comprehensive service such as receiving a nutritional prescription according to analysis of a server.

In general, smartphones and tablet PC devices, which combine functions of a mobile phone and a PDA, can transmit and receive data in real time anytime and anywhere using a wired, wireless Internet or data transmission service. A large-capacity memory and a high-performance CPU are mounted.

A face recognition application is being used in a simple object recognition based on interest by using such a smartphone and a tablet PC.

On the other hand, plants including flowers and the like have a function of providing a feeling of mental stability to the users because they are beautiful, and thus they are being marketed as ornamental plants. Especially in recent years, fragrances, insect repellents, medicinal plants and edible plants But they are sold as functional plants, and these plants are cultivated by planting in pots and the like.

In addition, when a planter purchases a plant cultivated in a flowerpot or the like, cultivation management of the plant is required, and in the case of a person having experience of cultivating a plant for a predetermined period of time, In the case of a person who has no experience in plant cultivation, the plant is cultivated by acquiring the cultivation information of the plant using the information delivery medium such as the surrounding publications or the Internet. However, It is difficult to accumulate experience for all plants when cultivated. Also, even if information on the cultivation of plants is acquired by using information media such as publications and the Internet, Humidity, and solar radiation are accurately predicted by the individual growers and the plant is grown. There were various problems such does not.

On the other hand, plants are less reactive and less interesting than pets, and it is difficult to induce continuous interest and sense of accomplishment as plants grow.

Therefore, it is necessary to propose a technique in which the same interest as that for raising an animal is raised, and management and cultivation are automatically performed even if the plant is cultivated.

In accordance with this need, Korean Patent Laid-Open Publication No. 2013-0126205 discloses a plant cultivation management system in a mobile application environment.

However, such a conventional technique has a problem that the function is insufficient and expensive, though a temperature and humidity sensor is attached to a flowerpot to inform the cellular phone of the moisture content of the soil.

In addition, since the sensor device must be purchased for each pot, there is a problem that it is expensive.

Disclosure of Invention Technical Problem [8] Accordingly, the present invention has been made keeping in mind the above problems occurring in the prior art, and an object of the present invention is to provide a plant malfunction service system using a terminal capable of registering and managing a plurality of pots and plants with a single smart phone, And a method thereof.

It is another object of the present invention to provide a plant malt service system and method using a convenient terminal for recommending and purchasing a customized plant nutrient.

It is another object of the present invention to provide a plant malware service system and method using a terminal that recommends a plant suitable for a user's age and sex or taste.

It is another object of the present invention to provide a plant malware service system and method using a terminal that causes a user to have fun and interest.

In order to solve such a problem, a plant and toll service system according to a feature of the present invention,

A plant malware service system in which at least one terminal is connected via a network,

A database unit for storing information of plants;

A web server for receiving image information of a plant from the terminal;

An information providing server for comparing the plant information stored in the database with image information of the plant and recognizing the type of the plant and the current growth state and transmitting the plant nutrient corresponding to the current growth state to the terminal .

The database unit,

A subscriber DB for storing subscriber information;

Plant DB for storing information and status information of plants;

A plant nutrient database for storing plant nutrient information;

And a Tok DB that stores conversation contents to be shared with the subscriber.

The information providing server,

A feature extracting unit for recognizing the pattern of the plant from image information of the plant;

A comparing unit comparing the extracted plant pattern with the plant DB to recognize the type and current state of the plant;

And a status providing unit for transmitting a type and state of the recognized plant to the terminal when the comparison result of the comparison unit is higher than a predetermined reference value having a high degree of agreement with the comparison result and transmitting a message requesting retransmission to the terminal when the degree of match is less than a predetermined reference value do.

And recommending a plant nutrient corresponding to the state of the plant and providing the plant nutrient to the terminal.

And a purchasing processor for purchasing the plant nutrient according to the selection of the terminal.

And a plant recommending unit for recommending a plant suitable for the age and sex of the user or the taste.

And a token advancing unit for tapping the terminal with reference to the Tok DB.

The terminal comprises:

An input unit for receiving a selection of a user;

A camera part for photographing a plant;

A display unit for displaying information;

And when the botton service is selected through the input unit, the application is executed, the camera unit is driven to acquire the image of the plant, the shape of the plant is recognized from the acquired image and transmitted to the web server, And a control unit for displaying result information received from the web server on the display unit.

In order to solve the above-mentioned problems, a method of providing a vegetable hot-

A method for a plant malware service of a plant malware service system in which at least one terminal is connected via a network,

The web server receiving image information of the plant from the terminal;

Extracting a pattern of the plant from the image information of the plant;

Comparing the information of the plant stored in the database with the pattern of the recognized plant to recognize the type and the current state of the plant;

And transmitting the type and state of the plant recognized by the information providing server to the terminal when the comparison result of the comparison unit is higher than a predetermined reference value having a high degree of agreement.

And transmitting the message requesting retransmission to the terminal when the degree of matching is less than or equal to a predetermined reference value.

Recommending a plant nutrient corresponding to the state of the plant and providing the plant nutrient to the terminal;

And the information providing server purchases the plant nutrient according to the selection of the terminal.

Recommending a plant suitable for the user's age and sex or taste;

The information providing server further comprises a step of purchasing the plant according to the selection of the terminal.

The embodiment of the present invention can provide a system and method for a plant malt service using a terminal that does not require a separate sensor device for each flowerpot and can register and manage multiple pots and plants with one smartphone.

In addition, in the embodiment of the present invention, a system and method of a plant malt service using a terminal that is convenient to recommend and purchase a customized plant nutrient can be provided.

In addition, in the embodiment of the present invention, a system and method of a plant malt service using a terminal recommending a plant suitable for the age and sex of a user or a taste can be provided.

In addition, in the embodiment of the present invention, it is possible to provide a system and method of a plant malware service using a terminal that causes a user to have fun and interest.

1 is a configuration diagram of a plant and tok service system according to an embodiment of the present invention.
2 is a block diagram of a terminal according to an embodiment of the present invention.
FIG. 3 is a configuration diagram of a method of service of a plant and tok according to an embodiment of the present invention.
4 is a diagram showing an example of a terminal screen.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when an element is referred to as " comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise. Also, the terms " part, " " module, " and " module ", etc. in the specification mean a unit for processing at least one function or operation and may be implemented by hardware or software or a combination of hardware and software have.

1 is a configuration diagram of a plant and tok service system according to an embodiment of the present invention.

Referring to FIG. 1, a plant and toll service system according to an embodiment of the present invention includes:

A database unit 330 for storing information of at least one plant; A web server 310 for receiving image information of a plant from the terminal; And an information providing server 320 for recognizing the pattern of the plant from the image information of the plant, comparing the information with the information of the plant stored in the database unit 330, and transmitting the comparison result information to the terminal.

The database unit 330 may include a plant database for storing information such as growth conditions corresponding to various plant locations and seasons, form regions, flowering time, images, state information at the time of lack of specific nutrients, 332);

A plant nutrient database for storing plant nutrient information;

And a Tok DB that stores conversation contents to be shared with the subscriber.

 And the information of these plants can be variously modified and modified. The database unit 330 further includes a subscriber database 331 for storing subscriber information as needed, and may provide a subscriber to the subscriber only by performing subscriber authentication.

The information providing server (320) includes a feature extracting unit (321) for recognizing the pattern of the plant from the image information of the plant; A comparing unit 322 comparing the extracted plant pattern with the plant DB to recognize the type and current state of the plant;

And transmitting a message for requesting retransmission to the terminal when the degree of agreement is less than a predetermined reference value, transmitting the type and state of the recognized plant to the terminal when the comparison result of the comparison unit is higher than a predetermined reference value, 323).

And a plant nutrient recommendation unit 324 that recommends a plant nutrient corresponding to the plant state and provides the plant nutrient to the terminal.

And a purchase processing unit 325 for purchasing the plant nutrient according to the selection of the terminal.

And a plant recommending unit for recommending a plant suitable for the age and sex of the user or the taste.

And a token advancing unit for tapping the terminal with reference to the Tok DB.

Hereinafter, a terminal applied to an embodiment of the present invention will be described.

The terminal 100 includes various electronic devices such as a computer capable of the Internet, a smart phone, a notebook computer, an information terminal, and a tablet PC.

2 is a block diagram of a terminal according to an embodiment of the present invention.

2, a terminal according to an exemplary embodiment of the present invention includes an input unit 110, a display unit 120, a communication unit 130, a control unit 140, a speaker 150, a storage unit 160, a timer 170 ), A GPS unit 180, and a camera unit 190.

The terminal of the embodiment of the present invention is preferably a smart phone, a tablet PC, or the like, but may be a general computer or a mobile communication terminal in some cases.

The input unit 110 receives a user's selection, and may include a keyboard, a mouse, a touch screen, and the like.

The GPS unit 180 generates and outputs coordinates of its own using a signal received from an external satellite.

The camera unit 190 photographs plants such as flowers and trees and outputs images. In some cases, it also has a voice recording function.

The storage unit 160 can embed a control program, and if necessary, stores captured image information.

The speaker 150 outputs a voice, and can output a ring tone, a human voice, and the like.

The display unit 120 displays various selection information, photographed images, comparison result information, and the like.

The communication unit 130 performs a communication function and performs a communication function through an external communication network when using a telephone function or the Internet.

When the bot access service is selected through the input unit 110, the control unit 140 executes the corresponding application, drives the camera unit 190 to acquire the image of the plant, And transmits the result to the web server 310. The result information received from the web server 310 is displayed on the display unit 120. [

Timer 170 provides date and time information.

Hereinafter, the operation of the terminal having the above-described configuration and the system of the Tokto service will be described in detail.

FIG. 3 is a flowchart illustrating an operation of the method of service of a plant and toll service according to an embodiment of the present invention.

Referring to FIG. 3, when the user selects the bot access service on the screen of the terminal 100, the control unit 140 provides the bot access service screen to the display unit 120.

In addition, the user of the terminal receives the request from the verbal or indoors plant, or receives the request from the plant horn and operates the input unit 110 to drive the camera to photograph the photograph. At this time, as shown in FIG. 4, a photographing request can be received through a plant and a tock.

Thereafter, the user selects the photographing by adjusting the angle so that the plants can be correctly shot on the camera unit 190 for the plant. Then, the control unit 140 controls the camera unit 190 to shoot and output the plant (S120).

Then, the control unit 140 recognizes the shape of the plant in the acquired image, and transmits the recognized shape to the web server 310. If necessary, the user confirms the plant area (S130), and the control unit 140 recognizes the determined image and transmits it to the web server 310 (S140).

 Here, although the entire image can be sent, only the shape of the plant is recognized and transmitted in order to reduce the amount of data. At this time, the control unit 140 may further acquire the location, date, and time information of the terminal by referring to the GPS unit 180 and the timer unit 170, and may transmit the acquired location, date, and time information to the web server 310 (S140).

Then, the web server 310 receives the image information of the plant from the terminal 100.

Then, the feature extraction unit 321 of the information providing server 320 extracts the plant pattern from the image information of the plant (S230).

Next, the comparing unit 322 of the information providing server 320 compares the information of the plant stored in the database unit 330 with the pattern of the recognized plant (S240).

In step S250, it is determined whether the pattern of the recognized plant matches the information of the stored plant, and whether the match is equal to or greater than the reference value is determined (S241). For example, if the match degree is 80% or less, it is determined that the picture is not taken well and a retransmission request is made again (S141). At this time, you can send the necessary environmental conditions to the user as if the plant is speaking by push notification of the plant and talk app, or if it is difficult to distinguish it with the time series picture, send a message "Master, me, please take one more picture" The accuracy of discrimination can be enhanced.

If the comparison result of the comparison unit 322 is higher than a predetermined reference value having a high degree of matching, the degree of match is generated as a pinched approximation value, and the information providing server 320 determines the type and state of the recognized plant, To the terminal 100 (S260).

The comparison unit 322 compares the plant information of the database unit 330 corresponding to the position and date with the pattern of the recognized plant by referring to the position and date information of the plant, . ≪ / RTI > Therefore, more accurate comparison becomes possible.

The current state is determined by comparing the extracted pattern with the image of the insufficient state such as healthy state, water, nitrogen, phosphoric acid, and carly of the plant.

The pattern recognition process and the comparison process will be described in detail below.

When the data is generated by capturing a photograph with a camera attached terminal, the service providing server 320 extracts the characteristics of the plant through a preprocessing process This is a service that transmits the result value to the terminal requesting the information by making the recognition result through an unsupervised pattern matching process as a percentage.

The feature extracting unit 321 and the comparing unit 322 recognize the plant and analyze the pattern to match with the plant information of the plant database and clearly distinguish the kind and the present state of the plant.

The pattern recognition of the feature extraction unit 321 is performed in two steps. For example, in the case of a plant, a leaf, a stem, and a flower are distinguished through edge detection in the first place. And the name of the plant through the PCA method is read out secondarily.

As a method for implementing the above method, when the terminal 100 converts an optical image into an electrical signal in the form of an analog signal using the camera unit 190, a CCD (Charge Coupled Device) in the camera unit 190 Dimensional array type data converted into an electric signal proportional to the intensity of light is stored in the storage unit 160. [ Among the stored images, the terminal user selects the plant area by using the area function of the moving rectangle window, which is expanded and decreased in the top and bottom and left and right, and transmits the selected plant area to the web server 310.

Then, the feature extracting unit 321 performs edge detection, edge tracking, and chain encoding. The coded data can be normalized by newly dividing the boundary by properly dividing it. In addition, after the first reading of the plant using the area invariant moment, the mean value of the specific plant is subtracted from the second component by Principal Component Analysis (PCA) method. This component value is compared with the component vector of the new plant image by performing a reduced eigenvector space of the database unit 330 in the comparing unit 322 to determine that the minimum Euclidean distance is equal to the transmitted image It is recognized as a plant.

안에 있는 화소들만을 검사한다. 불규칙한 조명 및 잡음으로 인하여 연결 부 분이 끊어진 경우 구해진 에지점들을 추적하여 윤곽선이 연결되도록 하는 에지 추적(Edge Following)을 실시 하며, 에지검출이 수행된 이미지상의 모든화소 (x, y)에 대한 이웃 화소들 중에서 특징이 비슷한 화소들을 연결한다. 이미지의 전처리 과정이 끝나면 이후 체인코드(Chain Code)화 에 들어간다. 영역의 경계선을 주어 진 방향을 가진 단위 크기 직선들로의 표현은 4연결성 또는 8연결성의 시계 또는 반시계 방향으로 이동하여 처음 시작 화소의 위치로 되돌아오면 종료한다. 경계를 나타내는 체인코드는 출발점에 따라 달라지게 되나 체인코드를 방향을 나타내는 숫자의 열로 생각하여 정규화가 가능하다. 이때 크기가 달라진 경우 경계를 적 절히 새로 표본화 하여 정규화 시킨다. 이후 불변 모멘트(Moments)를 사용하여 일차적으로 식물을 판독하게 된다. 에지 검출로 선택된 이미지는 정규화된 명암도 영상 함수를 2D 확률 변수의 확률 밀도로 해석한다. 0 이 아닌 화소값이 영역을 표현 한다고 가정하면, 에지 선만이 유효한 값으로 사용되며 기존 식물의 에지 이 미지와 비교하여 일차적 식물의 판독에 들어간다. 불변 모멘트의 경우 크기, 이동, 회전 변화에 대해 가장 유사한 일치율을 가지는 식물을 설정하고 이를 PCA법을 이용한 판별에 들어간다. This will be described in more detail as follows. In edge detection, an edge or contour may be detected as a feature that primarily represents the boundary of the region, with the brightness varying from low to high values on the image or vice versa. The edge can obtain information about the position, shape, size, etc. of the area. The rate of change of the brightness value on the image, that is, the pixel whose differential value is larger than the specific threshold value becomes the edge. In other words, the data is generated where the brightness change is large on the image, and the value of 0 is set for the rest without brightness change, thereby functioning as a boundary detector. It uses the currently used first and second operators. When the boundary on the image is a straight line in a certain direction, a hub conversion or mask method is used. In the edge thinning, the gradient vector directions of neighboring pixels are compared

Only the pixels within it are examined. (X, y) on the edge-detected image is performed when the connected part is disconnected due to irregular illumination and noise and the edge points are traced to connect the contour lines. Pixels having similar characteristics are connected to each other. After the preprocessing process of the image is completed, the next step is to enter the chain code. The representation of the unit size straight lines with the direction of the boundaries of the region is terminated when it returns to the position of the first starting pixel by shifting in the clockwise or counterclockwise direction of 4 connectivity or 8 connectivity. The chain code that represents the boundary will depend on the starting point, but can be normalized by considering the chain code as a sequence of numbers representing the direction. If the size is different, the boundary is appropriately sampled and normalized. Then, the invariant moments (Moments) are used to primarily read the plant. The image selected by edge detection interprets the normalized intensity image function as the probability density of the 2D random variable. Assuming that non-zero pixel values represent regions, only edge lines are used as valid values, and primary plant readings are compared with edge images of existing plants. For the invariant moment, the plant with the most similar agreement rate with respect to size, movement, and rotation changes is set, and it is discriminated by the PCA method.

The Principal Component Analysis (PCA) method, which is a secondary reading step, searches images from plant images already stored when a read image is given first. When the size of the plant is NXN and the number of plant images in the training set is M, each plant image is represented by one-dimensional column vectors having N2 components, and N ² XM matrix X is constructed can do. The observation vector X i represents the image of each plant in the training set.

X i, i = 1, ..., M

Then, the average plant image (mx) of the training set is obtained by the following equation.

mx =

(=Xi - mx)라는 벡터를 구한다. 이렇게 얻어진

라는 벡터를 이용한 X의 공분산 행렬 CX는 다음과 같다.In fact, each plant image may have different lighting conditions. To compensate for this, subtract the average plant image from the same plant image

(= Xi - mx) is obtained. The thus obtained

The covariance matrix CX of X using the vector X is as follows.

The NXN plant images are the basis functions by obtaining the orthonormal vectors that best represent the distribution of data in this N ² XN ² covariance matrix, that is, N ² eigenvectors in order of magnitude of eigenvalues.

The recognition process using the unique plant image is as follows. In order to reduce the amount of data to be processed first, k (k < N ² ) eigenvectors corresponding to large eigenvalues are obtained. Once a new plant image X 'is given, it is projected into a reduced eigenvector space in order to represent a new image (a primarily read image) from a series of inherent plants obtained above, and its component values are obtained through the following equation .

를 구한다.The contribution of each native plant in expressing the plant image that was read first is then calculated by using the obtained component value as the following vector

.

와 비교해서 유클리디 거리

가 최소가 되는 것이 입력 이미지식물과 같은 식물로 인식 된다. In order to search for a plant image such as a plant image that has been primarily read, the above value is used as a component vector of plant images stored in the reduced eigenvector space

Compared to the Euclidean distance

Is minimally recognized as a plant, such as an input image plant.

In the case of plants, variables can be classified according to the shape of the plant, which is the result of plant morphology (insect morphology of insects) and plant diversity is the result of natural selection of survival of the fittest (climate, environment, etc.) , Which is a characteristic of plant diversity and uniqueness, and can be identified through plant morphology.

For example, plants can be morphologically classified into leaves, roots, stems, and flowers. The leaves can be classified into monoclonal, bifid, cotyledon, transitional leaves, It can be divided into bell, arc, duck, pure, bell, cylinder, sword, hanging, The roots are also clearly distinguished by main roots, anisotropic roots, storage roots, famine, contraction roots, respiratory roots, and root roots.

There are about 30,000 kinds of plants in our country and about 23,000 kinds of plant data are collected in the National Botanical Garden. About 6,000 kinds of plants are available to the general public and about 1,200 kinds Of plants are edible.

As we have seen above, plants have very distinct characteristics depending on the species, and there is a clear difference depending on the plant classification. That is, even if the same door, the same river, the same neck, and the same plant can be distinguished clearly if the paper is different.

Therefore, in the embodiment of the present invention, this difference can be dataized by a pattern recognition method, and compared with image data of existing plants, plant identification can be accurately performed.

In addition to the above-described pattern recognition method, a vegetation tamper service can also be provided by using a pattern recognition technology of the existing technology, if necessary.

For example, the photos sent to the information providing server 320 are corrected by the local weather and time to adjust the light source conditions at the time of photographing, and the minute change of shape and the color change are discriminated by an artificial intelligence analysis engine similar to the remote sensing discriminating function can do.

Thereafter, the terminal 100 displays the received analysis result information on the display unit 120 (S150). In other words, it tells the kind of plant and the present condition.

In addition, the plant nutrient recommendation unit 324 of the information providing server 320 recommends the plant nutrient corresponding to the plant state and provides the plant nutrient to the terminal. In the case of compound fertilizer, 20-15-20 is mixed with nitrogen, phosphoric acid, and carly, and it is traded. However, according to the conditions determined by the artificial intelligence analysis engine, I want to eat three times! "

The plant recommendation section of the information providing server 320 recommends a plant suitable for the age and sex of the user or the taste. For example, the elderly can recommend a plant that prevents dementia or a plant that gives a good sleep, and recommends a plant that cleanses the head to help the younger learners (S270).

Thereafter, depending on the selection of the terminal user (S160), the user may return to the first step (S170), or may purchase the plant or plant nutrient.

 When the terminal user selects purchase of the plant or plant nutrient, the purchase processing unit 325 of the information providing server 320 purchases the plant or the plant nutrient according to the selection of the terminal (S280). When the purchase processing is completed, the delivery is made. Nutritional supplements can be labeled as 1 to 5 nutritional supplements if needed, and they can talk to plants and drink tea.

On the other hand, if necessary, the information providing server 320 may guide a flower shop or the like from which a plant or a plant nutrient can be purchased.

In addition, if necessary, the server may remotely control the nutrient injector to automatically supply or block the nutrient.

In the embodiment of the present invention, a separate sensor device is not required for each flowerpot, and a plurality of pots and plants can be registered and managed by one smartphone.

Further, in the embodiment of the present invention, recommendation and purchase of a customized plant nutrient are convenient.

Further, in the embodiment of the present invention, a plant suitable for the age and sex of the user or a taste can be recommended.

Further, in the embodiment of the present invention, it is possible to generate fun and interest to the user.

The embodiments of the present invention described above are not only implemented by the apparatus and method but may be implemented through a program for realizing the function corresponding to the configuration of the embodiment of the present invention or a recording medium on which the program is recorded, Such an embodiment can be readily implemented by those skilled in the art from the description of the embodiments described above.

While the invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, Of the right.

Claims (10)

A plant malware service system in which at least one terminal is connected via a network,
A database unit for storing information of plants;
A web server for receiving image information of a plant from the terminal;
An information providing server for comparing the plant information stored in the database with image information of the plant and recognizing the type of the plant and the current growth state and transmitting the plant nutrient corresponding to the current growth state to the terminal Includes a bot and hot service system. The method according to claim 1,
The database unit,
A subscriber DB for storing subscriber information;
Plant DB for storing information and status information of plants;
A plant nutrient database for storing plant nutrient information;
A bot-talk service system that includes a Talk DB that stores conversations to share with subscribers. 3. The method of claim 2,
The information providing server,
A feature extracting unit for recognizing the pattern of the plant from image information of the plant;
A comparing unit comparing the extracted plant pattern with the plant DB to recognize the type and current state of the plant;
And a status providing unit for transmitting a type and state of the recognized plant to the terminal when the comparison result of the comparison unit is higher than a predetermined reference value having a high degree of agreement with the comparison result and transmitting a message requesting retransmission to the terminal when the degree of match is less than a predetermined reference value Plant and Tok Service System. The method of claim 3,
A plant nutrient recommending part recommending a plant nutrient corresponding to the plant state and providing the same to the terminal;
A plant recommending unit for recommending a plant suitable for the age and sex of the user or a taste;
And a purchase processing unit for purchasing the food and the plant nutrient according to the selection of the terminal. 5. The method of claim 4,
Further comprising a call progress part for calling the terminal with reference to the talk DB. 6. The method of claim 5,
The terminal comprises:
An input unit for receiving a selection of a user;
A camera part for photographing a plant;
A display unit for displaying information;
And when the botton service is selected through the input unit, the application is executed, the camera unit is driven to acquire the image of the plant, the shape of the plant is recognized from the acquired image and transmitted to the web server, And a control unit for displaying result information received from the web server on the display unit. A method for a plant malware service of a plant malware service system in which at least one terminal is connected via a network,
The web server receiving image information of the plant from the terminal;
Extracting a pattern of the plant from the image information of the plant;
Comparing the information of the plant stored in the database with the pattern of the recognized plant to recognize the type and the current state of the plant;
And transmitting the type and state of the plant recognized by the information providing server to the terminal when the comparison result of the comparison unit is higher than a predetermined reference value having a high degree of agreement. 8. The method of claim 7,
And transmitting the message requesting retransmission to the terminal when the degree of matching is less than or equal to a predetermined reference value. 9. The method of claim 8,
Recommending a plant nutrient corresponding to the state of the plant and providing the plant nutrient to the terminal;
Further comprising the step of purchasing the plant nutrient according to the selection of the terminal by the information providing server. 10. The method of claim 9,
Recommending a plant suitable for the user's age and sex or taste;
Further comprising the step of purchasing the plant according to the selection of the terminal by the information providing server.

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