KR101935008B1 - Distribution and Management Method for agricultural products using growth information of agricultural products - Google Patents

Abstract

The present invention relates to a technique enabling a farmer to perform stable farming activities. A method for distributing and managing crops using growth information of crops according to the present invention comprises: a first step of providing basic information of the crops made of information of farmland and information of the crops; a second step of creating a three-dimensional farmland map for farmland based on the basic information of the crops; a third step of changing and updating a surface state of a unit model to be corresponding to the growth information and space information; a fourth step of creating a crops growing screen; and a fifth step of providing the crops growing screen to a consumer terminal.

Description

[0001] The present invention relates to a method and apparatus for managing distribution of crops using crop information,

The present invention provides a reliable direct deal distribution method between a consumer and a farmer by providing a modeling of the growth state of a crop so that it visually recognizes the state of growth of the crop. In addition, by utilizing accumulated data according to actual crop growth, To provide a learning service through the Internet, and to enable stable farming activities.

Generally, the production system of crops is a system in which a producer selects and sows varieties according to his or her own experience and judgment, harvests at a certain time depending on the degree of growth of the crop after a certain period of time, .

The crops harvested through this process are marketed individually by the farmer or sporadically gathered in unit sellers in the residential area (eg, unit farmers, farmers / retailers, etc.).

However, most farmers sell agricultural products through the distribution structure centering on the ball / auction. It is difficult to find economic independence of farmers in passive positions in such a distribution structure.

Therefore, farmers increase the proportion of labor input to direct sales activities for better economic benefit, which leads to physical difficulties in agricultural activities for cultivation of crops, resulting in serious problems of degradation of crop quality , Resulting in a dissatisfaction with the quality of the consumer, resulting in a decrease in sales of crops.

In order to solve such a problem of distribution of crops, Prior Art 1 (Korean Patent No. 10-1754827) provides a marketing space through a direct marketplace application, so as to narrow the distance between a supplier and a consumer through information sharing, System has been proposed.

However, since the crop sales system described above is configured such that the user can remotely control the camera installed on the farm to determine the state of the farm, the system configuration installed in the farm is complicated, There is a limit to the information on the growth of crops that can be recognized.

In the prior art 2 (Korean Patent Laid-Open No. 10-2015-0140887), crops from a producer to a consumer using a mobile terminal such as a smart phone or the like, A mobile distribution management system and a service method thereof have been proposed.

However, since the above-described agricultural product distribution management system and the service method thereof do not provide information on the growth process for crops, there is a limit in obtaining trust for the product to the consumer.

On the other hand, in general, agro-producers constantly select and cultivate only the items with some know-how of cultivation in order to generate stable profit.

As a result, there is a tendency for the crop to be cultivated in Korea, which causes the price competitiveness of the crop to deteriorate, which makes it difficult for farmers to maintain a stable farming life.

In addition, in order for farmers to carry out cultivation of new crops more stably, there may be a way of cultivating new crops after completing the agricultural activity-related learning of the crops through the RDA or the agricultural education institutions .

However, since this method requires a lot of time and effort for the farmer, it is difficult for the farmer to carry out the learning for the transition to the new item separately while maintaining the current life.

1. Korean Registered Patent No. 10-1754827 (Name: Crop Sales System) 2. Korean Patent Laid-Open Publication No. 10-2015-0140887 (titled: Crop Product Mobile Distribution Management System and Service Method)

SUMMARY OF THE INVENTION Accordingly, the present invention has been made to solve or solve the above problems, and it is an object of the present invention to provide a reliable direct deal distribution method by visually modeling and providing a growth state of crops, To provide a method of managing the distribution of crops using the information on the growth of crops, which provides a learning service through virtual farming activities to enable the farmers to carry out stable farming activities with optimal productivity while facilitating the cultivation of more diverse items .

According to an aspect of the present invention, there is provided a service providing server for providing basic information on crops comprising farmland information including agricultural land locations, crop items, and crop information including crop cultivation, In step 1, a service providing server generates a three-dimensional farmland map for agricultural land based on crop basic information, calculates a unit model number to correspond to the planting period of crops planted in farmland, A second step of creating a model and registering the model in a data repository, agricultural activity information including medication information administered to the crop at the farmer terminal, spatial condition including at least one of the soil PH concentration, soil trait and moisture content Information on the growth status of crops, including crop height and growth thickness, A fourth step of changing the surface state information of the unit model so as to correspond to the agricultural activity information, the spatial state information and the growth state information provided from the farmer terminal in the service providing server and storing them in the data store; The provision server generates a crop object image using a predetermined voxel unit model corresponding to a request from a consumer terminal and maps the generated crop object image onto the farmland map to generate a crop growth image, A fifth step of reflecting the unit model surface state information corresponding to the corresponding crop to the number of unit models corresponding to the number of crops, and generating a crop growth screen on the service providing server, Selected by the consumer terminal in association with the registered farmer terminal The crops distribution control method using the crop growth status information, characterized in that comprises a sixth step of performing a sales processing for the product produced in the plant are provided.

The second step may further comprise setting a crop ID for each crop, wherein the crop ID is composed of common management information provided by the service providing server and personal management information set arbitrarily by the farmer terminal, The common management information includes crop items and farmland location information, and the personal management information is composed of a predetermined number of serial numbers.

In addition, in the sixth step, when the crop is selected through the consumer terminal on the crop growth screen, the service providing server provides the advertisement information to the consumer terminal so that the advertisement is viewed, and when the crop is selected from the consumer terminal And providing the purchaser information to the farmer terminal so that the farmer can purchase the crop of the farmer himself / herself by purchasing the crop product selected by the farmer. The method for managing the circulation of crops using the crop growth status information is provided.

The service providing server extracts sample crops corresponding to the current growth information and the spatial information of the crops requested to be searched in the data repository, generates weight by calculating the increase / decrease ratio of the production to the sample crops, Wherein the service providing server further displays the estimated production amount information on the object image of the crop to generate a crop growth screen, A method for managing the distribution of crops using the crop growth status information is provided.

In addition, when a crop detection sensor for detecting the growth state or the spatial state of the crop is installed in the agricultural land and the crop, the service providing server in the fourth step detects the growth information on the crop detected by the crop detection sensor, And the unit model is reflected on the unit model. The method for managing the distribution of crops using the crop growth status information is provided.

In the fourth step, the service providing server changes the surface state information of the unit model using one of color change, pattern change, and symbol change corresponding to the agricultural activity information, spatial state information, and growth state information A method for managing the distribution of crops using the crop growth status information is provided.

In addition, the service providing server extracts a sample crop for the target crop from the data store on the basis of the growth information and the spatial information of the target crop to be learned with respect to the agricultural activity learning request from the farmer terminal, A step of calculating an average value of the previous production amount of the sample crops corresponding to the planting years of the crops as the expected production amount and providing the average production amount to the farmer terminal, and a method of managing the crops distribution using the crop growth status information is provided .

According to the present invention, by visually modeling and providing the growth status of crops, it is possible to provide reliable direct deal distribution of crops between consumers and farmers.

In addition, it is possible to broaden the cultivation range of new varieties of crops by providing learning services for virtual farming activities to agriculturists by utilizing cumulative data on actual crop growth, thereby stably securing price competitiveness for domestic crops Lt; / RTI >

Thus, more stable farming life can be guaranteed for pre-farmers and farmers currently cultivating crops.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a schematic diagram of a crop circulation management system using crop growth status information to which the present invention is applied; FIG.
FIG. 2 is a block diagram showing the internal configuration of the service providing server 100 shown in FIG. 1 functionally separated. FIG.
3 is a view showing a crop ID structure generated through the crop ID generation unit 110 shown in FIG.
4 is a view illustrating data structure of crop growth information and spatial information processed by the information collecting unit 120 shown in FIG.
5 is a diagram illustrating a unit model I shape processed in the unit model generation unit 130 shown in FIG.
6 is a view illustrating a crop growth screen generated by the visualization processing unit 150 shown in FIG.
FIG. 7 is a view for explaining a method for managing the distribution of crops using the crop growth status information according to the first embodiment of the present invention; FIG.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will now be described in detail with reference to the accompanying drawings. It is to be noted that like elements in the drawings are denoted by the same reference numerals whenever possible. It should be understood, however, that the terminology or words of the present specification and claims should not be construed in an ordinary sense or in a dictionary, and that the inventors shall not be limited to the concept of a term It should be construed in accordance with the meaning and concept consistent with the technical idea of the present invention based on the principle that it can be properly defined. Therefore, the embodiments described in the present specification and the configurations shown in the drawings are merely the most preferred embodiments of the present invention, and not all of the technical ideas of the present invention are described. Therefore, It is to be understood that equivalents and modifications are possible.

FIG. 1 is a view showing a schematic configuration of a crop circulation management system using crop growth status information to which the present invention is applied.

As shown in FIG. 1, a crop distribution management system using crop growth status information includes a service providing server 100 for providing a crop distribution management service using crop growth status information, a farmer terminal 200, 300, and a data store 400. [ At this time, the farmer terminal 200 and the consumer terminal 300 can communicate with the service providing server 100 including a smart phone, a tablet PC, a desktop, a notebook, etc., And the like.

In addition, the service providing server (100) can provide geographical information including the map of agricultural land and the shape of the land by linking with the geographical information providing system, the administrative information providing system and the weather information providing system, Administrative information including farmer's personal information, weather information including rainfall or precipitation temperature, humidity, and wind quantity by date can be provided.

1, the farmer terminal 200 provides crop-related information including crop basic information, agricultural activity information, and crop growth status information to the service providing server 100, It carries out sales processing for the cultivated crops.

The consumer terminal 300 is connected to the service providing server 100 to search for crops, and performs purchase processing on the crops selected by the consumer.

The data store 400 stores various information for managing the distribution of crops according to the present invention and can be implemented as a separate database system. The data store 400 includes a farmer's personal information table such as the farmer's ID and password, name, address, and contact information for the farmer, agricultural land location and area, shape, farmland type, soil trait, soil concentration , A spatial information table including water content, a crop information table including crop number, crop name, crop height, growth thickness, number of years, medication name, production quantity and production grade, agricultural ID per farm ID, A distribution information table including sales date, consumer information, sales quantity, and sales amount, a farmland map for each farmer ID, a unit model number for the crop ID, and a unit model state value .

The service providing server 100 collects the crop-related information provided from the farmer terminal 200, accumulates the information in the data repository 400, and generates a three-dimensional farmland map. By representing the crops as an object image using a unit model of a predetermined shape and changing the state of the unit model based on the growth information and the spatial information, it is possible to display the crop image in a uniform form to the user (farmer or consumer) In addition to providing the unit model, the status of the crop can be intuitively recognized.

Also, the service providing server 100 provides a crop sales service through the consumer terminal 300 using the object image of the crop. In other words, it provides direct distribution service between farmers and consumers.

Also, the service providing server 100 predicts the production amount of the requested crop based on the crop growth information and the spatial information accumulated in the data storage 400. Using this, the service providing server 100 can predict and provide the production amount in accordance with the type of the crop provided by the farmer terminal 200, the agricultural activity, or the condition change of the spatial state. In other words, farmers can easily learn about agricultural activities by confirming the predicted production amount according to various kinds of cultivars, agricultural activities and spatial conditions, and also can carry out agricultural activities to obtain optimum production efficiency Do.

In addition, in FIG. 1, at least one state detection sensor S may be additionally provided for detecting crop growth and space-related conditions on the farmland where crops and crops are planted. For example, the crop state detection sensor S measures a PH value, a moisture content, and a temperature. The crop condition detection sensor S provides the measured status information to the farmer terminal 200 at regular intervals to provide the information to the service provider server 100 through the farmer terminal 200, (Not shown) to the service providing server 100.

FIG. 2 is a block diagram showing the internal configuration of the service providing server 100 shown in FIG. 1 functionally separated.

2, the service providing server 100 includes a crop ID generating unit 110, an information collecting unit 120, a unit model generating unit 130, a production amount predicting unit 140, a visualization processing unit 150, A distribution processing unit 160, and an agricultural activity learning unit 170. [

The crop ID generation unit 110 sets an identification code for each crop planted in the farmland. As shown in Fig. 3, the crop ID is divided into common management information including a crop item and a farmland location, and individual management information composed of a certain number of serial numbers, common management information is given by the service providing server 100 , And the individual management information is manually set by the farmer who cultivates the crop through the farmer terminal (200). Accordingly, the farmer can set his or her desired serial number so as to facilitate the recognition of the location of the crop in accordance with his farmland shape and planting location of the crop.

The information collecting unit 120 collects growth information and spatial information for crops, respectively. The above-mentioned growth information is data necessary for diagnosis of agricultural crop status and agricultural activity preparation and production prediction data of farmland, and includes information on the characteristics of crops and agricultural land information, information on development and health status of crops, Fertilizer and pesticides, production of crops, and quality grade history information. Fig. 4 (A) illustrates a data structure of crop growth information. As shown in Fig. 4 (A), the crop growth information includes records such as the cultivars of each crop ID, the height of growth, the thickness of the growth, the cultivation years, the medication name, the production quantity, and the production grade.

Further, the spatial information is data that affects the growth of crops in the farmland space where the crops are cultivated, including the terrain / area / location of the farmland, the composition of the soil and the moisture condition, and weather / climate information. FIG. 4B illustrates a data structure for spatial information. As shown in FIG. 4 (B), the spatial information includes records of altitude and land type, soil characteristics, soil PH concentration, moisture content, current season, weather, etc. by the location coordinates of agricultural land.

The unit model generation unit 130 generates a three-dimensional farmland map for the farmland based on the crop basic information in the service providing server 100, and generates a three-dimensional model number of the unit model corresponding to the crop cultivated in the farmland And the unit model of the calculated number is generated and registered in the data store. The unit model is a minimum unit for representing crops in the same form and can be classified into a cubic (CUBE) or a circular ball (BALL) which can represent a cell concept such as a 2D pixel (PIXCEL) or a 3-dimensional voxel (VOLUMED PIXEL) Or the like. Fig. 5 illustrates a unit model (I) in the form of a cube.

In addition, the unit model generation unit 130 changes the surface state of the unit model based on the growth information and the spatial information. The unit model generation unit 130 expresses the status of the crop, such as the grade, density, and intensity, on the unit model I in a manner including one of hue change, pattern change, and symbol change. At this time, different characteristics such as color and pattern are applied to different types of growth information, or different characteristics of the same characteristics for each kind of growth information, for example, in the case of color, the moisture content is blue (change in brightness of blue) Change in brightness of red) (change in brightness) can be applied.

The production amount predicting unit 140 determines the current state condition based on the current crop growth information and the spatial information, extracts the sample crops similar to the crops stored in the data repository 400, Based on the information, predict the expected yield of the crop corresponding to the current condition of the crop.

The visualization processor 150 generates an object image of the crop using the pre-registered unit model for each crop, and maps the object image onto the farmland map corresponding to the farmland where the crop is planted, Thereby generating a crop growth screen on which the crop growth status information is visualized.

6 is a diagram illustrating a crop growth screen. As shown in FIG. 6, the crop growth screen is constructed by mapping the crop object images 10 formed by the combination of the unit models I on the farmland map M. FIG. That is, the crop object image 10 is composed of a combination of at least one unit model I corresponding to the degree of its growth, for example, the number of years of growth, and the unit model I represents the state of the crop 10. At this time, state information of different items may be expressed in different unit models (I). For example, state information corresponding to the water content may be expressed in the first unit model, and state information corresponding to the degree of dosage (fertilizer, pesticide) may be expressed in the second unit model.

In addition, in FIG. 6, the crop object image 10 may additionally express the estimated production amount information T for the crop. Here, the predicted production amount information is expressed differently in the number of production amount icons corresponding to the production amount. FIG. 6 illustrates a circular production amount icon T, for example, one circle T can be defined as a production unit of 20 KG 1 box.

The distribution processing unit 160 performs a sales service for the product to the consumer through the consumer terminal 300. The distribution processing unit 160 sells a product, such as fruit, for the crop selected by the consumer terminal 300 through the crop growth screen as shown in FIG. The distribution processing unit 160 provides order information on the crop selected by the customer terminal 300, for example, the crop ID, the quantity of the requested product, and the consumer information to the farmer terminal 200 that cultivates the crop, To deliver the harvested product to the consumer. At this time, the distribution processing unit 160 can mediate a series of financial transactions between the consumer and the farmer regarding the sales of the product requested to be ordered.

The agricultural activity learning unit 170 provides the agricultural activity learning service based on the actual agricultural information accumulated in the data storage 400 for the agricultural terminal 200. The agricultural activity learning service predicts and provides the production amount of the crop to be learned by analyzing the production amount of the sample crop stored in the data storage 400 in response to the agricultural activity condition provided from the farmer terminal 200. At this time, the agricultural activity learning unit 170 obtains the optimum production amount by applying the mind-mind analysis method (Patent Application No. 10-2017-0061408) using the link between the point of view data filed by the present inventor on May 18, 2017 Agricultural activity information can be analyzed and provided. It is also possible to provide an interactive service based on the result of production optimization learning through an artificial intelligence module (not shown).

Next, referring to FIG. 7, a method for managing the distribution of crops using the crop growth status information having the above-described structure will be described.

First, with the farmer planting crops on the farmland, the farmer provides the basic information on the crops in response to his or her farmer ID to the service providing server 100 through the farmer terminal 200 (ST10). Basic crop information includes farmer ID, farmland location, area, crop varieties, crop yields, and may include additional annual crops if the crop has been cultivated or planted for a certain number of years.

The service providing server 100 sets an ID for each crop cultivated on the farmland in cooperation with the farmer terminal 200 based on crop basic information (ST20). At this time, information such as location, altitude, soil quality, and land type of agricultural land can be obtained through administrative information providing system and geographic information providing system.

That is, the service providing server 100 gives the common management information of the crop ID including the crop item and farmland location information based on the crop basic information. Then, the farmer ID setting screen corresponding to the farmland area and shape is provided to the farmer terminal 200. The farmer terminal (200) sets a cropping plant location so as to correspond to planting location and number on the cropping ID setting screen, and sets the serial number inputted by the farmer for each cropping location at each planting location as individual management information. At this time, the planting location of the crop can be set by directly selecting the planting location on the cropping ID setting screen by using input means (mouse or the like), or by setting the number of planted crops of "100 × 10". In addition, the serial number of the crop can be set with the position of each planted crop selected.

The service providing server 100 stores the crop ID set for each crop planted in the farmland for the corresponding farmer ID of the data repository 400. [

Then, the service providing server 100 calculates the number of unit models for each crop ID corresponding to the crop basic information, and generates a farmland map in cooperation with the geographic information providing system based on the farmland information, (ST30). At this time, the number of unit models can be calculated corresponding to the number of years of planting per crop. For example, a single-year apple tree can be calculated as a unit model, and a 5-year-old apple tree can be calculated as ten unit models. Further, the farmland map (M in Fig. 6) is generated in a three-dimensional form using the area of the farmland and the terrain information.

In the above-described state, the farmer not only feeds fertilizer to his farmland, heats pesticides, supplies water, but also performs agricultural activities such as pruning and shipment of fruit, and inputs agricultural activity information through the farmer terminal 200 To the service providing server (100). At this time, the growth state and spatial state information generated from the crop state detection sensor S are also provided to the service providing server 100, and the growth state and spatial state information provided from the crop state detection sensor S are supplied to the real- To the service providing server 100.

That is, the service providing server 100 collects growth information and spatial information for each crop (ST40). The service providing server 100 additionally adds the weather information through the weather information providing system whenever the damage information such as hail, drought or typhoon occurs at the time of collecting the growth information and the spatial information or at the farm site, And store them in the data store 400.

Next, the service providing server 100 updates the unit model surface state so that the changed state of the collected crop growth information and spatial information is applied to the unit model registered for the crop ID (ST50). For example, it is possible to change the state such as increasing the brightness of the color of the unit model, setting the interval of the pattern small, or setting the size of the symbol to be large in correspondence with the dosage of the fertilizer or the pesticide and the PH concentration.

In addition, each unit model may reflect different crop status information. For example, the first through tenth unit models for 5-year old apple trees may include soil concentration (PH value), water content, number of times fertilizer is supplied, The number of times of provision, and the weather effect, respectively.

Further, the farmer can receive the agricultural activity learning service from the service providing server 100 through the farmer terminal 200 while cultivating the crop (ST60). That is, the service providing server 100 searches the data store 400 for the agricultural activity learning request from the farmer terminal 200 on the basis of the growth information and the spatial information of the learning target crop, Extracts the sample crops, calculates an average value of the previous production amounts of the sample crops corresponding to the planting training of the crops to be learned as the expected production amounts, and provides them to the farmer terminal 200. Accordingly, the farmer can search the contents of the agricultural activities for various crops while accessing the service providing server 100 through the farmer terminal 200, or search the agricultural activity conditions or the weather condition for the target crops at random You can set the expected output.

The above-described operations of steps ST40 to ST60 may be repeatedly performed. In response to the agricultural activities, the unit model corresponding to the agricultural crop becomes a state in which the final growth and spatial state, that is, the growth state information is applied.

When the crop unit search request information is received from the consumer terminal 200 (ST70) while the crop unit model to which the final crop information about the crop has been applied is stored and registered (ST70), the service providing server 100 transmits the search request (ST80). ≪ tb > < TABLE > At this time, the consumer terminal 200 is connected to the service providing server 100, and performs search processing on the farmland where the crop desired by the consumer is planted based on the input information by the soviet, and the service providing server 100 It is possible to calculate the estimated production amount for each crop planted in the whole or a certain area of the farmland selected by the consumer terminal 200. In addition, the consumer can request the condition search of the crop of the desired growth environment according to his / her consideration criteria through the consumer terminal 300.

That is, the service providing server 100 extracts the sample crops of the growth environment similar to the current growth environment in the data storage 400 with respect to the crops subject to the production yield calculation, extracts the production amount of the previous years of the extracted sample crops and the production amount of the current year By applying a predetermined weighting factor, for example, a weighting factor of "0.9 ", to the increase / decrease ratio, the expected production amount for the crop can be predicted. For example, if the crop yield of the crop is 1,000 and the rate of change of production of the sample crop is "+ 30%", then the expected yield of the crop will be "1,000 × (1 + (0.3 × 0.9) = 1,270" Here, sample crops can be extracted based on crop items, years of planting, and location of farmland, ie, crops with the same number of years of plant life and the same agricultural environment conditions . In this case, if the weather condition such as a typhoon or drought that has a severe effect on the production amount is confirmed by confirming the special weather situation with respect to the previous years and the current years of the sample crops, based on the administrative information provided from the administrative information providing system By confirming the compensation information, the weight is corrected in response to the degree of compensation, or the final amount of compensation is applied to the expected production amount to finally determine the expected production amount It is also possible.

Next, the service providing server 100 generates an image object for each crop using a unit model to which the growth state information about the crops requested for service is applied, and arranges the image object on the corresponding farmland map in correspondence with each planting location , And provides the crop growth screen to the consumer terminal 300 (ST90, ST100). At this time, on the crop object image on the crop growth screen, the estimated production amount information of the crop is additionally displayed. That is, the crop growth screen of the form shown in FIG. 6 is displayed and output through the consumer terminal 300.

At this time, the service providing server 100 searches for a predetermined number (for example, 20) of retrieved search results in the order of the number of pesticide counts, the PH concentration, The crop growth screen can be generated and provided so that the crops are displayed so as to be emphasized more emphatically or only the crop to be searched is displayed and outputted.

Thereafter, the service providing server 100 provides the farmer terminal 200 with the cost settlement processing and the crop purchase information for the crops requested to be purchased by the consumer terminal 300, And performs a series of crop sales services to deliver the acquired products to the consumer.

At this time, the consumer can select desired crops while moving the position of the crop growth screen through the mouse or touch method on the crop growth screen shown in FIG. 6 displayed and output through the consumer terminal 300. For example, the consumer can click on a desired apple tree through the consumer terminal 300 to select it.

 The service providing server 100 may provide an advertisement screen including agricultural information on the selected crop, including sales information on the selected crop through the consumer terminal 300. The crop sales-related advertisement screen provided to the consumer terminal 300 includes sales information (for example, 15 kg per box: 50,000 won) for the products obtained from the crops. Also, the advertisement screen includes the quantity already sold for the crop and the quantity information that can be currently purchased, and the currently available quantity information may be additionally displayed and output on the crop output screen of FIG.

In addition, the advertisement screen may be a video of a specific marketing purpose of the advertiser, and the consumer can purchase the crop at a lower cost by viewing the advertisement image. That is, sales of crops can be promoted through a sales system in which a portion of the advertising revenue paid by the advertiser is provided to the consumer who viewed the advertisement.

In addition, the service providing server 100 may provide a timeline for a series of agricultural activities for the selected crop through the consumer terminal 300. That is, when the consumer clicks and selects a specific crop through the consumer terminal 300, the service providing server 100 displays a series of agricultural activities according to time until a product is obtained in the crop, for example, A time line is provided in which the agricultural activities such as pruning, fruit cutting, fertilizer cycle, and pesticide hunting are listed in chronological order. In addition, a time line in which a unit model for each agricultural activity is displayed in a time sequence may be provided, or a timeline may be provided in a form in which a unit model and agricultural activity information are displayed together. Consumers can easily recognize the growth process from the corresponding apple tree to the harvesting of apples through the state change (for example, color change) of the unit model for each agricultural activity of the timeline, And whether it has been cultivated as an eco-friendly farming method through the number of prosperity. This can increase the credibility of the crop to the consumer and can result in the farmer improving his sales to the cultivated crop.

That is, the service providing server 100 provides purchase information of the selected crop from the consumer terminal 300 that viewed the advertisement to the farmer terminal 200, thereby allowing the consumer to purchase the product of the crop selected by the user .

100: service providing server, 200: agricultural terminal,
300: consumer terminal, 400: data store,
110: a crop ID generating unit, 120: an information collecting unit,
130: a unit model generation unit, 140: a production amount prediction unit,
150: Visualization processing section, 160: Distribution processing section,
170: Department of Agriculture Activities.

Claims (7)

A first step of providing agricultural basic information including farmland information including a farmland location and crop information including a crop item and a crop cultivation period as service providing servers in an agricultural terminal,
The service providing server generates a three-dimensional farmland map for the farmland based on the crop basic information, calculates the number of unit models corresponding to the cultivation of the crops planted in the farmland, and generates a unit model corresponding thereto A second step of registering in the data repository,
Agricultural activity information including medication information administered to the crop at the farmer terminal, spatial state information including at least one of the soil PH concentration, soil trait and moisture content of each crop, and crop condition including crop height and growth thickness To the service providing server,
A fourth step of changing the surface state information of the unit model so as to correspond to the agricultural activity information, the spatial state information and the growth state information provided from the farmer terminal in the service providing server and storing them in the data store,
The service providing server generates a crop object image by using a predetermined voxel type unit model corresponding to a request from the consumer terminal and maps the generated crop object image onto the farmland map to generate a crop growth image, A fifth step of reflecting the unit model surface state information corresponding to the crops to a unit model corresponding to the number of years,
A sixth step of providing a crop growth screen to the consumer terminal in the service providing server and performing a sales process for the product produced in the crop selected by the consumer terminal in connection with the farmer terminal registering the selected crop from the consumer terminal The method according to any one of claims 1 to 3,
The method according to claim 1,
The second step may further comprise setting a crop ID for each crop,
The crop ID is composed of common management information given by the service providing server and personal management information set arbitrarily by the farmer terminal,
Wherein the common management information includes crop item and farmland location information,
Wherein the personal management information comprises a predetermined number of serial numbers.
The method according to claim 1,
In the sixth step, when the crop is selected through the consumer terminal on the crop growth screen, the service providing server provides the advertisement information to the consumer terminal to view the advertisement, and further, And providing the purchasing information to the farmer terminal so that the farmer can purchase the crop of the farmer himself / herself by using the information of the cropper.
The method according to claim 1,
The service providing server extracts sample crops corresponding to current growth information and spatial information of the crops requested to be searched in the data repository, generates weight by calculating the increase / decrease ratio of the production to the sample crops, And calculating a predicted production amount by applying a weight to the estimated production amount,
Wherein the service providing server generates the crop growth screen by additionally displaying the estimated production amount information on the object image of the crop in the fifth step, thereby generating the crop growth screen.
The method according to claim 1,
When a crop detection sensor is installed in a farmland and a crop to detect a growth state or a spatial state of the crop,
Wherein the service providing server receives spatial information about the crop detected by the crop detection sensor and reflects the information on the unit model in the fourth step.
The method according to claim 1,
In the fourth step, the service providing server changes the surface state information of the unit model using one of color change, pattern change, and symbol change corresponding to the agricultural activity information, spatial state information, and growth state information Wherein the method comprises the steps of:
The method according to claim 1,
The service providing server extracts a sample crop for the target crop from the data store on the basis of the growth information and the spatial information of the target crop to be learned for the agricultural activity learning request from the farmer terminal, And calculating an average value of the previous production amount of the sample crop corresponding to the training, as an expected production amount, and providing the average production amount to the farmer terminal.

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