KR102411058B1 - Farming education simulation server using metaverse - Google Patents

Abstract

The present invention relates to a hometown farming education simulation server in which a user can grow crops in a metaverse space, evaluate cultivation capacity, and increase cultivation capacity through learning. The present invention provides a land creation module for generating virtual land, a land brokerage module for providing sales information on virtual land that a user has pointed out as a candidate for homecoming among the virtual land, and a plurality of items for growing conditions for the designated crops. Receive detailed cultivation conditions from the user, and perform the growth simulation of the specified crops based on the detailed cultivation conditions of the items entered by the user, the preset detailed cultivation conditions for the items not entered by the user, and the cultivation environment conditions of the candidate land It may include a simulation module that

Description

Hometown farming education simulation server using metaverse {FARMING EDUCATION SIMULATION SERVER USING METAVERSE}

The present invention relates to a homecoming farming education simulation server using a metaverse, and more specifically, the user who is planning to return home knows which land to purchase and which crops to grow on the land before the actual return is executed. , while simulating on the metaverse what kind of farming knowledge is needed to grow the crop, how much money it takes to return home, and how much money can be recovered in a short period of time by growing the crop, while simultaneously simulating the related farming knowledge It is about a hometown farming education simulation server to naturally acquire . The user can predict the result of returning home by cultivating crops in advance in the metaverse space, but the sooner the user can study the crop and enter the cultivation conditions more and accurately, the faster the results of the growth simulation will be received.

In general, recently, virtual reality (Virtual Reality), augmented reality (Augmented Reality), and mixed reality (Mixed Reality) technology to which computer graphic technology is applied has been developed. At this time, virtual reality technology refers to a technology that uses a computer to build a virtual space that does not exist in the real world and then makes the virtual space feel like reality. It refers to a technology that adds information, that is, a technology that allows interaction with a user in real time by combining the real world and the virtual world.

Among them, augmented reality and mixed reality technologies are being used in combination with technologies in various fields (eg, broadcasting technology, medical technology, game technology, etc.). Augmented reality technology in the field of broadcasting technology is when the weather map in front of a weather caster who forecasts the weather on TV changes naturally, or when an advertisement image that does not exist in the stadium is inserted into the screen as if it actually exists in the stadium during sports broadcasting. This is a representative example of the combined use. In particular, these augmented reality and mixed reality technologies are being implemented and provided as various application services with the advent of smart phones.

As a representative service that provides augmented reality or mixed reality to users, there is a meta-verse. This metaverse is a compound word of 'Meta', meaning fictitious and abstract, and 'Universe', meaning the real world, meaning a three-dimensional virtual world. Metaverse is a more advanced concept than the conventional virtual reality environment, and provides an augmented reality environment in which virtual worlds such as the web and the Internet are absorbed into the real world.

On the other hand, as the number of urban residents pursuing life in rural areas increases, the movement of the population to rural areas is prominent, and agricultural start-ups are increasing. However, it is difficult to generate income through farming in the early stage due to lack of experience or insufficient farming knowledge, and even if it is converted into income, it remains at 70 to 80% of the existing farm income, making it difficult to stabilize management and settle in a stable manner.

Korean Patent Laid-Open Patent No. 10-2021-0090933 (hereinafter referred to as prior art) automates the cultivation of crops through agricultural robots, provides various types of agricultural information to facilitate crop cultivation, and provides agricultural education and practice for farmers. technology that can support However, this prior art does not provide the user with an initial budget such as purchasing or leasing of farmland in the early stage of returning to farming, so it is not possible to know the actual cost of returning to farming, and learning to cope with various factors occurring during crop cultivation It's a bit lacking in that.

Republic of Korea Patent Publication No. 10-2021-0090933 (2021.07.21)

The problem to be solved by the present invention is to create a virtual land in the metaverse space, provide land to grow crops to an avatar user connected to the metaverse, and provide various details in order for the user to grow a virtual crop in the metaverse space. It is to provide a hometown farming education simulation server that evaluates the cultivation capability of the user based on the compatibility between the input conditions and the pre-established data when the cultivation conditions are learned and entered.

The problem to be solved by the present invention is to induce learning to increase cultivation capacity by determining the cycle of providing a growth simulation of crops differently according to the cultivation capacity of the user, and to provide the user with educational contents for learning to increase the cultivation capacity to the user. It is to provide a competency training simulation server.

The home farming education simulation server according to an aspect of the present invention includes a land generation module that generates virtual land based on an actual map in the metaverse, collects online land sale information and matches the virtual land with the virtual land, When the user designates a crop to be grown on the candidate land and a land brokerage module that provides sales information on the virtual land pointed to by the user as a candidate for homecoming, a plurality of items of cultivation condition for the specified crop are presented and detailed cultivation conditions from the user , and performing a growth simulation of the designated crop based on the detailed cultivation conditions of the items entered by the user, the default detailed cultivation conditions for the items not entered by the user, and the cultivation environment conditions of the candidate land, It may include a simulation module that displays the simulation result in virtual reality.

The method according to claim 1, wherein the simulation module notifies the user of the required time of the simulation before the simulation is executed, and the required time for the simulation may be set in inverse proportion to the number of detailed cultivation conditions input by the user.

Further comprising an evaluation module for evaluating the user's farming knowledge score by comparing the detailed cultivation conditions of the items input by the user with the pre-built cultivation recipe DB, the simulation module, the number of detailed cultivation conditions input by the user and the The time required for the simulation may be set in inverse proportion to the evaluated farming knowledge score.

The cultivation condition items suggested by the simulation module may include fertilizer for each growth stage, water supply for each growth stage, pesticide for each growth stage, cultivation temperature, sunlight, cultivation interval, ventilation time, pruning or not, and installation of a cultivation house facility.

The cultivation environmental conditions of the candidate land include: acidity of the land, elevation of land, expected amount of sunlight in a specified period, average precipitation in a specified period, average temperature in a specified period, frequency of occurrence of hail within a specified period, frequency of occurrence of cold damage within a specified period; It may include the frequency of typhoon occurrence within a specified period.

Further comprising a disaster event module that notifies the user of an exceptional disaster occurrence event during the simulation execution and additionally presents a cultivation condition item according to the disaster that occurred to the user, wherein the evaluation module enables the user according to the disaster occurrence event The user's farming knowledge score is re-evaluated by comparing the additionally input detailed disaster prevention conditions with the pre-established cultivation recipe DB, and the simulation module includes the number of detailed disaster prevention condition items input by the user and the re-evaluated farming knowledge score It is possible to reset the required simulation time in inverse proportion to .

It may further include a calculation module for calculating expected income based on the purchased land cost, the selected crop purchase cost, the purchase cost of a paid item among the input detailed cultivation conditions, and the expected sales amount of the crop produced according to the simulation result have.

According to an embodiment of the present invention, a virtual land is created in the metaverse space, land to grow crops is provided to an avatar user who has access to the metaverse, and the user selects various detailed cultivation condition items to grow crops on the land. By learning and inputting, it is possible to evaluate the user's cultivation capability based on the suitability of the input conditions and the pre-established data.

According to an embodiment of the present invention, the cycle of providing a growth simulation of a crop is determined differently according to the cultivation capability of the user to induce learning to increase the cultivation capability, and educational content for learning to increase the cultivation capability is provided to the user to increase the educational efficiency can increase

1 is a schematic diagram illustrating an agricultural capability evaluation and education simulation server 400 through a metaverse according to a first embodiment of the present invention.
2 is a block diagram showing the configuration of the server 400 according to the first embodiment.
3 is a schematic diagram illustrating an agricultural capability evaluation and education simulation server 400 through a metaverse according to a second embodiment of the present invention.
FIG. 4 is a block diagram showing the configuration of the server illustrated in FIG. 1 .
Fig. 5 is a block diagram showing the configuration of a server in the fourth embodiment.
Fig. 6 is a block diagram showing the configuration of a server in the fifth embodiment.

Since the present invention can apply various transformations and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention.

In describing the present invention, if it is determined that a detailed description of a related known technology may obscure the gist of the present invention, the detailed description thereof will be omitted.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

Prior to the description, when a part in the entire specification "includes" or "includes" a certain component, it does not exclude other components, but may further include other components unless otherwise stated. means there is In addition, terms such as "...unit", "...module" and "component" described in the specification mean a unit that processes at least one function or operation, which It may be implemented in hardware, software, or a combination of hardware and software.

In addition, the term "embodiment" in this specification means serving as an illustration, example, or illustration, but the subject matter of the invention is not limited by such examples. Also, "comprising", "comprising", "having" and other similar terms are used, but when used in the claims, " as an open-ended transition word that does not exclude any additional or other element. It is used generically in a manner analogous to the term "comprising".

The various techniques described herein may be implemented in conjunction with hardware or software, or a combination of both, where appropriate. As used herein, the terms “Unit”, “System”, etc. are likewise used to refer to computer-related entities, i.e. hardware, a combination of hardware and software, software, or software in execution, equivalent. can be dealt with For example, a program module may be configured as equivalent to one component or a combination of two or more components. In addition, in the present invention, both the program and hardware executed in the terminal including the transmitter and the receiver may be configured in module units, and may be recorded in one physical memory or distributed between two or more memories and recording media. .

Also, terms such as first and second may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings, and in the description with reference to the accompanying drawings, the same or corresponding components are given the same reference numbers regardless of reference numerals, and overlapping A description will be omitted.

[First embodiment]

Hereinafter, the farming competency education simulation server 400 through the metaverse according to the first embodiment of the present invention will be described in detail with reference to the drawings.

1 is a schematic diagram illustrating an agricultural capability evaluation and education simulation server 400 through a metaverse according to a first embodiment of the present invention.

Referring to FIG. 1 , the server 400 of the present invention provides a platform where the user 1 can grow crops, evaluate the cultivation capacity, and increase the cultivation capacity through learning in the metaverse space. Creates a virtual land in the metaverse and leases or sells land to grow crops to an avatar user (1) who accesses the metaverse, and allows the user (1) to grow virtual crops on land in the metaverse space. When the conditions are learned and input, the cultivation capability of the user 1 is evaluated based on the compatibility between the input conditions and the pre-established data. And the server 400 induces learning to increase the cultivation capacity by varying the time required until the simulation result is generated based on the cultivation competency score, and provides cultivation education content for learning to increase the cultivation capacity to the user 1 do.

For example, when the cultivation capability of the user 1 is highly evaluated, the server 400 sets the required time for providing the growth simulation shorter than when the cultivation capability is evaluated low, and provides it to the user 1 . The reason that the server 400 does not immediately provide the results of the simulation of the growth of crops, but in the required time set based on the cultivation capacity, is that when the cultivation capacity of the user 1 is evaluated low, the detailed cultivation conditions are learned and then learned This is to induce them to develop their cultivation competency through voluntary learning by allowing them to select detailed cultivation conditions again based on the contents.

In the present invention, the user 1 is created as a virtual avatar (AVATAR) and can be active in the metaverse space. When renting or selling land, the user 1 can move to the corresponding area through the avatar and check the land.

In the present invention, when the server 400 provides to the user 1 , it means to provide to the user terminal 41 of the user 1 . The user terminal 41 is a device capable of connecting to the metaverse space provided by the server 400 according to manipulation, inputting detailed cultivation conditions, and receiving and executing simulation result images and various contents provided from the server 400 . .

An application or program for displaying educational content transmitted from the server 400 and smooth communication with the server 400 may be installed in the user terminal 41 .

The user terminal 41 communicates with the server 400 through a communication network. The communication network may use wired communication methods such as Ethernet, xDSL (ADSL, VDSL), HFC (Hybrid Fiber Coaxial Cable), FTTC (Fiber to The Curb), and FTTH (Fiber To The Home) depending on the system implementation method. WLAN (Wireless LAN), Wi-Fi (Wi-Fi), Wibro, Wimax, HSDPA (High Speed Downlink Packet Access), LTE (Long Term Evolution), LTE-A (Long Term Evolution Advanced) It is also possible to use a wireless communication method such as, and may include, in addition to the above-described communication method, other well-known or all types of communication methods to be developed in the future.

Meta-verse as used in the present invention is a compound word of 'Meta' meaning processing and abstraction, and 'Universe' meaning the real world, and means a three-dimensional virtual system. Metaverse is a more advanced concept than the conventional virtual reality environment, and provides an augmented reality environment in which virtual worlds such as the web and the Internet are absorbed into the real world.

In the present invention, the user terminal 41 may include any one of a head mounted display (HMD), a desktop computer, a smartphone, and a tablet pc.

2 is a block diagram showing the configuration of the server 400 according to the first embodiment.

The server 400 of the first embodiment includes a land creation module 410 , a land brokerage module 420 , and a simulation module 430 . and an evaluation module 440 .

The land generation module 410 creates a virtual land based on an actual map in the metaverse. The land creation module 410 creates a virtual land in the metaverse space based on the cadastral map and the topographic map. The land generation module 410 basically generates land in Korea, but may also create land abroad through software update.

A cultivation environment condition is stored in the virtual land generated by the land creation module 410 .

Cultivation environmental conditions are the acidity of the land, the elevation of the land, the expected amount of sunlight in the specified period, the average precipitation in the specified period, the average temperature in the specified period, the frequency of occurrence of hail within the specified period, the frequency of occurrence of cold damage within the specified period, the occurrence of typhoons in the specified period. include frequency.

The land brokerage module 420 collects online land sale information, matches it with the virtual land, and provides sale information on the virtual land that the user points out as a returnee candidate among the virtual land. The homecoming candidate refers to the land that the user intends to purchase to grow crops among the virtual land, and the sale information may include a sale price, incidental costs such as taxes incurred on the sale, and the land area.

When the user designates a crop to be cultivated in the candidate land for returning home through the user terminal 41, the simulation module 430 presents a plurality of cultivation condition items of the specified crop to receive detailed cultivation conditions from the user, and the user input The growth simulation of the designated crop is performed based on the detailed cultivation conditions of the items and the default detailed cultivation conditions of the items not entered by the user and the cultivation environment conditions of the candidate land, and the simulation results are displayed in virtual reality.

The cultivation condition items presented by the simulation module 430 include fertilizer for each growth stage, water supply for each growth stage, pesticides for each growth stage, cultivation temperature, sunlight, cultivation interval, ventilation time, pruning or not, and installation of a cultivation house facility.

The simulation module 430 receives detailed cultivation conditions for the cultivation condition items presented to the user. The detailed cultivation conditions receive detailed information about the cultivation condition items. For example, the simulation module 430 receives detailed cultivation conditions for specific fertilizers, amounts of fertilizers, and the timing of providing fertilizers in the fertilizer items for each growth stage. . In addition, the simulation module 430 receives detailed cultivation conditions for a planting distance such as 50 cm X 35 cm in the cultivation interval (planting distance) item.

The simulation module 430 performs a growth simulation of a designated crop based on the detailed cultivation conditions of the items input by the user, the preset detailed cultivation conditions for the items not entered by the user, and the cultivation environment conditions of the candidate land, , the simulation results are shown in virtual reality.

For example, the simulation module 430 compares the detailed cultivation conditions entered by the user with the preset detailed cultivation conditions for non-entered items, and the more detailed cultivation conditions for the non-entered items, the poorer the crop growth Simulation results are provided. In addition, the simulation module 430 provides a simulation result in which crop growth is excellent as the suitability of the cultivation environment conditions of the candidate land and the detailed cultivation conditions input by the user is high.

Meanwhile, the simulation module 430 notifies the user of the required time for the simulation before the simulation is executed. The time required for the simulation is set in inverse proportion to the number of detailed cultivation conditions entered by the user. For example, as the number of detailed cultivation conditions input by the user increases, the required time for the simulation provided by the simulation module 430 is set to be shorter. Conversely, the smaller the number of detailed cultivation conditions input by the user, the longer the time required for the simulation provided to the user in the simulation module 430 is set.

The evaluation module 440 evaluates the user's farming knowledge score by comparing the detailed cultivation conditions of the items input by the user with the pre-built cultivation recipe DB 441 . For example, in the cultivation recipe DB 441, detailed cultivation conditions necessary for growth for each crop are stored and constructed. In addition, the evaluation module 440 compares the detailed cultivation conditions stored in the cultivation recipe DB 441 with the detailed cultivation conditions input by the user, and evaluates the farming knowledge score as the number of matching two detailed cultivation conditions increases.

The simulation module 430 sets the required time of the simulation in inverse proportion to the farming knowledge score evaluated by the evaluation module 440 . For example, the simulation module 430 sets the required time of the simulation provided to the user to be short when the farming knowledge score is high and, conversely, sets the required time required for the simulation provided to the user to be long when the farming knowledge score is low.

The simulation module 430 may induce learning to develop farming knowledge by setting the required time for the simulation in inverse proportion to the farming knowledge score.

[Second embodiment]

Hereinafter, the farming competency education simulation server 400 through the metaverse according to the second embodiment of the present invention will be described in detail with reference to the drawings.

3 is a schematic diagram illustrating an agricultural capability evaluation and education simulation server 400 through a metaverse according to a second embodiment of the present invention.

The land generation module 510, the land brokerage module 520, the simulation module 530, the evaluation module 540 and the cultivation recipe DB 541 of the second embodiment are the land generation module 410, the land brokerage of the first embodiment Since the module 420, the simulation module 4320, the evaluation module 440, and the cultivation recipe DB 441 are the same, the duplicated description will be omitted.

The server 500 of the second embodiment further includes an event module 550 and a calculation module 560 in the server 400 of the first embodiment.

The disaster event module 550 notifies the user of an exceptional disaster occurrence event during simulation execution and additionally presents a cultivation condition item according to the disaster that occurred to the user.

Disaster occurrence events may include hail, flood, cold damage, typhoon, drought, invasion of wild animals, pests, and the like.

The evaluation module re-evaluates the user's farming knowledge score by comparing the detailed disaster prevention conditions additionally input by the user according to the disaster occurrence event and the pre-established cultivation recipe DB. For example, the disaster prevention condition may include installation of a sprinkler when the disaster occurrence event is a drought, invasion of wild animals or hail, installation of a fence and a plastic house, and the like.

And the simulation module resets the simulation time required in inverse proportion to the number of detailed disaster prevention condition items entered by the user and the re-evaluated farming knowledge score.

The calculation module 560 calculates the expected income based on the land cost purchased by the user, the purchase cost of the selected crop, the purchase cost of a paid item among the input detailed cultivation conditions, and the expected sales amount of the crop produced according to the simulation result.

The expected income calculated by the calculation module 560 may be more accurate as the number of detailed cultivation conditions input by the user increases.

[Third embodiment]

Hereinafter, a home farming education simulation server according to a third embodiment of the present invention will be described in detail with reference to the drawings.

FIG. 4 is a block diagram showing the configuration of the server illustrated in FIG. 1 .

1 and 4 , the server of the present invention includes a land creation module 110 , a land brokerage module 120 , an evaluation module 130 , and a result output module 140 .

The land creation module 110 creates a virtual land in the metaverse space based on the cadastral map and the topographic map. The land creation module 110 basically creates domestic land, but may also create overseas land through software update.

A topographical map is a map that shows the layout of the earth's surface in detail and accurately. The server can receive cadastral map and topographic map information through the Ministry of Land, Infrastructure and Transport or related organizations.

The virtual land generated by the land creation module 110 includes plantation information for each land. The plantation site information includes at least one of an elevation of the land, an average temperature, an average humidity, an average amount of light, and a soil PH. The average temperature, average humidity, and average amount of light among plantation information may have average numerical values for a preset period. Soil PH can be measured and updated periodically. The elevation of the land can be extracted from the topographic map.

The land brokerage module 120 calculates a rental cost and a sale cost corresponding to the land area created in the metaverse space, and leases or sells land to a virtual avatar user connected through the user terminal 11 .

The rental cost and sale cost calculated by the land brokerage module 120 may be calculated based on the rental cost and sale cost of the real land provided from a terminal or a real estate server of a nearby real estate agent.

The land brokerage module 120 provides the user with plantation information about the virtual land that the user has purchased in the metaverse space. The user may determine a crop to be grown in the corresponding land based on the received plantation information. Since the plantation information has been described above, a redundant description will be omitted.

The evaluation module 130 provides the user with at least one cultivation condition item for growing crops to the user. In addition, the evaluation module 130 receives a determination of a crop from the user, and calculates a cultivation competency score by comparing detailed cultivation conditions input by the user with respect to the cultivation condition item with a pre-established cultivation DB (not shown).

Cultivation condition items refer to various conditions necessary for cultivating crops. It may include at least one of the type of control chemical, whether a temperature controller is installed, whether a humidity controller is installed, whether a CO2 controller is installed, whether an optical wavelength controller is installed, and employment of a worker (2 in FIG. 1). In the present invention, the cultivation condition item may include all types of conditions that are well known or to be developed in the future in addition to the conditions described above.

For example, the success rate of cultivation varies according to the decisions of direct seeding and raising seeding depending on the type of crop, and the selection of direct seeding and raising seeding is also important depending on the type of soil. For reference, direct sowing is a method of sowing seeds directly in the main plant, and seedling is a method of growing young seedlings in a seedling bed or in a pond.

In addition, the planting distance on the land may vary depending on the size of the crop growth, and if the spacing between seeds or seedlings is narrowed without considering the growth size of the crop, growth may be hindered.

Whether to install a house or not creates a space isolated from the outside, stores solar energy in it, and controls it to create a greenhouse environment suitable for crop growth.

Whether to install a temperature controller, whether to install a humidity controller, whether to install a CO2 controller, and whether to install an optical wavelength controller can be installed inside the house, creating a growing environment inside the house.

Control chemicals are used to control diseases and insects that easily occur for each type of crop, and are used differently depending on the type and pest of each crop.

The difficulty of cultivation may vary according to the number of employed workers (2 in FIG. 1), and the required number of workers (2 in FIG. 1) may vary according to the land area. The hired worker is created and provided as an avatar.

The detailed conditions for cultivation include selecting one of direct sowing and seedling of crops from the items listed above, specifying the sowing time of crops, entering whether to install a house, setting a specific temperature by the thermostat, or It is a detailed condition for specifically entering the distance to plant seeds or seedlings. In addition to this, the detailed conditions for cultivation include the type of fertilizer, the type of pesticide, whether to install a humidity controller, whether to install a CO2 controller, whether to install a light wavelength controller, and detailed conditions for hiring workers.

The evaluation module 130 compares the cultivated crop determined by the user and the detailed cultivation conditions listed above with the previously built cultivation DB, and the data about the cultivated crop stored in the cultivation DB and the detailed cultivation conditions entered by the user and The suitability (eg, degree of concordance) of

For example, in the cultivation DB (not shown), the necessary cultivation condition items and detailed cultivation conditions are matched for each type of crop, and the evaluation module 130 is configured according to the suitability of the data stored in the cultivation DB and the detailed cultivation items input by the user. Calculate the Cultivation Competency Score for the cultivated crop.

For example, detailed cultivation conditions such as seedling of cabbage among cultivated crops, planting distance of 60 cm X 45 cm, and no need to install a house are stored in the cultivation DB. In addition, detailed cultivation conditions for the number of workers required in consideration of the cultivation area and cultivated crops are stored in the cultivation DB.

If the crop that the user has decided to cultivate is cabbage, and the detailed cultivation conditions input by the user is one direct seed, the evaluation module 130 determines the detailed cultivation conditions of the corresponding crop stored in the cultivation DB and the detailed cultivation conditions input by the user. Because the suitability (eg, degree of agreement) is low, the Cultivation Competency Assessment score is calculated as low.

And when the user selects detailed cultivation conditions as seedling, planting distance 50cm X 35cm, and house installation required, the evaluation module 130 determines the suitability of the detailed cultivation conditions of the corresponding crop stored in the cultivation DB and the detailed cultivation conditions selected by the user (for example, For example, the degree of agreement) is high, so the evaluation score of cultivation capacity is calculated high.

In addition, the user selects a specific type of control drug in the detailed cultivation conditions, and the evaluation module 130 compares the type of drug input by the user with the pest information stored in the cultivation DB and reflects it in the competency evaluation score. For example, the user may more specifically input detailed cultivation conditions for a drug dilution degree or a drug spraying strain, and the further input detailed cultivation conditions are additionally reflected in the cultivation capacity evaluation score.

That is, the evaluation module 130 increases the cultivation capacity evaluation score for the user as the number of detailed cultivation conditions for the cultivation condition items input from the user increases, and the compatibility between the input detailed cultivation conditions and the data stored in the cultivation DB is high. count high

The result output module 140 varies the period for providing the growth simulation result based on the user's cultivation competency score calculated by the evaluation module 130 . Here, the period for providing the growth simulation result means the time from when the user's cultivation competency score is calculated in the evaluation module 130 until the growth simulation result is provided to the user.

For example, when the cultivation competency score is 20 out of 100, the result output module 140 may provide the growth simulation result to the user after 2 weeks have elapsed, and when the cultivation competency score is 80, the result output module 140 The module 140 may provide the growth simulation result to the user after 60 minutes.

The result output module 140 provides the user with the results of the growth simulation and then, after the user learns the detailed cultivation conditions, changes the detailed cultivation conditions and re-enters them. Based on the changed detailed cultivation conditions, the results of the growth simulation of the crop are provided to the user. re-determining the cycle. For example, even if the user's cultivation competency score is 20 and the growth simulation result is provided for two weeks, if the user changes the detailed cultivation conditions and the cultivation competency score becomes 80, the result output module 140 provides the user Change the cycle for providing growth simulation results from 2 weeks to 60 minutes.

That is, the result output module 140 sets a longer period for providing the growth simulation result as the cultivation competency score is lower, and recalculates the provision period when the user inputs the cultivation condition item again after learning to increase the cultivation capacity to the user. It induces learning for this purpose, and also allows the user to have time to learn to develop cultivation capacity according to the growth simulation result provision cycle.

The growth simulation result provided by the result output module 140 may include at least one of the growth size of the crop, the yield of the crop, the result of the occurrence of pests and pests occurring in the crop, and the degree of damage to the crop by external factors, but is not limited thereto. .

The result output module 140 also provides cultivation education content when providing the results of simulation of crop growth to the user.

The educational contents include at least one of crop technology information, management information for each crop, pest management information, and agricultural information for each period.

Specifically, the educational contents include crop technology information, agricultural work schedule, variety information, overseas agricultural information, and agricultural technology related information. In addition, educational contents include main ingredients, quality, type, current status, prospect, growth and development of crops such as food crops, special crops, vegetables, fruit trees, flowers, livestock, green manure crops, and soil fertilizer. Overall information on sowing time and cultivation method is stored and managed.

The pest management information includes information on easily occurring pests and pests by crop or period, and remedies for controlling the generated pests. Treatment includes physical therapy, chemical therapy, and biological therapy.

Physical therapy may include any one of temperature control, humidity control, light quantity control, light wavelength control, and ventilation cycle control of the cultivation area. Biological remedies may include any one of installation of a blocking network, installation of a pheromone trap, and introduction of natural enemies or repelling plants. Chemical treatment may include at least one of spraying pesticides or eco-friendly materials, and adjusting soil pH.

The result output module 140 compares the detailed cultivation conditions entered by the user among the training information listed above with the previously built cultivation DB, and only cultivation education contents including information on items that do not match the data stored in the cultivation DB. extracted and provided.

The user may learn through the cultivation education contents provided by the result output module 140 to increase cultivation capacity, and may shorten the time required to receive the results of the simulation of crop growth by selecting detailed cultivation conditions again.

[Fourth embodiment]

Hereinafter, a home farming education simulation server according to a fourth embodiment of the present invention will be described in detail with reference to the drawings.

Fig. 5 is a block diagram showing the configuration of a server in the fourth embodiment.

Configurations of the server 200 of the fourth embodiment, that is, the land generation module 210, the land brokerage module 220, the evaluation module 230, and the result output module 240 are the land generation module 110 of the third embodiment. , the land brokerage module 120 , the evaluation module 130 , and the result output module 140 are the same, and thus the redundant description is omitted.

The server 200 of the fourth embodiment further includes a recommendation module 250 .

The recommendation module 250 receives a homecoming budget from a user, and provides a recommended budget distribution ratio for land purchase cost, crop purchase cost, and incidental cost based on the homecoming budget. For reference, incidental costs refer to costs incurred in a plastic house, fertilizer, temperature controller, humidity controller, light wavelength controller, employment of workers, CO2 controller, and the like.

For example, in the cultivation DB, the number of crops that can be cultivated according to the land area is data, and necessary auxiliary facilities and equipment are data according to the area or the type of crop. In addition, the purchase cost or rental cost for ancillary facilities and ancillary equipment is dataized in the cultivation DB.

The recommendation module 250 is based on the budget input by the user for the land selected by the user and the crop determined to be grown by the user. Provides a percentage of the budget used for the purchase of facilities and ancillary equipment. The percentage of the budget used to purchase land can vary depending on the cost per land area.

For example, the recommendation module 250 provides the ratio of the budget input by the user as 50% of the land purchase cost, 10% of the crop purchase cost, and 40% of the incidental cost, so that the budget is excessively biased to one side and becomes insufficient. can be prevented

[Fifth embodiment]

Hereinafter, a home farming education simulation server according to a fifth embodiment of the present invention will be described in detail with reference to the drawings.

Configurations of the server 300 of the fifth embodiment, that is, the land creation module 310, the land brokerage module 320, the evaluation module 330, the result output module 340, and the recommendation module 350 are Since it is the same as the land creation module 210 , the land brokerage module 220 , the evaluation module 230 , the result output module 240 , and the recommendation module 250 , a redundant description will be omitted.

Fig. 6 is a block diagram showing the configuration of a server in the fifth embodiment.

The server 300 of the fifth embodiment further includes a control module 360 .

The control module 360 notifies the user of the occurrence of pests, including the types of pests and pests, and the degree of progress of the pests and pests at least once during the growth simulation.

Here, the growth simulation in progress means before the growth simulation result is provided to the user. For example, if the growth simulation result is provided to the user after 60 minutes based on the cultivation competency score, the control module 360 notifies the user of the occurrence of pests after 20 minutes or 30 minutes. The pests notified to the user by the control module 360 are generated based on information actually occurring in the crop.

And the control module 360 provides a control condition item for controlling pests and pests together with the occurrence of pests. Control condition items may include physical therapy, chemical therapy, biological therapy, and the like.

The evaluation module 330 receives detailed control conditions for controlling pests and diseases from the user.

For example, the detailed control conditions are to input in detail conditions for controlling pests and pests based on physical, chemical, and biological healing methods.

For example, the evaluation module 330 receives detailed control conditions such as adjusting the temperature of the plantation to a specific temperature and controlling the humidity to a specific humidity among physical healing methods. In addition to this, the evaluation module 330 specifically receives the dilution degree of the pesticide, the spraying cycle, CO2 control, light wavelength control, etc.

The evaluation module 330 compares the detailed control conditions input by the user with the previously built cultivation DB, and compatibility (for example, degree of agreement) to recalculate the cultivation competency score for the cultivated crop.

And the result output module 340 re-determines the period of providing the simulation results of crop growth to the user based on the recalculated cultivation competency score. The cycle re-determined by the result output module 340 may vary depending on the number of detailed control conditions input by the user and the suitability (eg, degree of agreement) of the control conditions for the corresponding pest.

Although the above has been described with reference to several embodiments of the present invention, those of ordinary skill in the art can use the present invention within the scope not departing from the spirit and scope of the present invention described in the claims below. It will be understood that various modifications and variations are possible.

41: user terminal
400: server
410: land generation module
420: Land Brokerage Module
330: simulation module
440: evaluation module

Claims (7)

a land generation module for generating by one-to-one matching between real land and virtual land based on a real map;
a recommendation module for presenting a budget distribution ratio for a purchase cost of a land area recommended for the selected land, a purchase cost of a crop, and an incidental cost, when a land selection and a return budget are input from the user;
A land brokerage module that collects real land sale information online, reflects it on matching virtual land in the metaverse, and provides information on the sale of the nominated virtual land to the user when the user selects one virtual land as a candidate for homecoming ;
When the user designates a crop to be grown on the candidate land for returning home, a plurality of cultivation condition items are queried for the specified crop, and when the user inputs detailed cultivation conditions for the query items, the input item(s) is A simulation module that simulates the growth of the designated crop based on detailed cultivation conditions and preset (default) detailed cultivation conditions for non-entered item(s) and the cultivation environment conditions of the candidate land for returning home, and displays the simulation results in virtual reality ; and
Includes an evaluation module that evaluates the user's farming knowledge score by comparing the detailed cultivation conditions for each cultivation condition item entered by the user with the pre-established cultivation recipe DB,
The simulation module sets the required time of the crop growth simulation to be shorter as the farming knowledge score is higher, and sets the required time for the simulation to be longer as the farming knowledge score is lower, but the detailed cultivation conditions are modified during the execution of the simulation Alternatively, if the farming knowledge score is changed by additional input, the user's farming knowledge cultivation is induced by resetting the required time of the simulation based on the changed farming knowledge score.
Hometown farming education simulation server using metaverse. delete delete According to claim 1,
The cultivation condition items presented by the simulation module are,
A farming education simulation server using metaverse, characterized in that it includes fertilizer for each growth stage, water supply for each growth stage, pesticides for each growth stage, cultivation temperature, sunlight, cultivation interval, ventilation time, pruning, and installation of cultivation house facilities. 5. The method of claim 4,
The cultivation environment conditions of the candidate land are:
acidity of land, elevation of land, expected amount of sunlight in a specified period, average precipitation in a specified period, average temperature in a specified period, hail occurrence frequency within a specified period, frequency of occurrence of cold sea within a specified period, typhoon occurrence frequency Home farming education simulation server using metaverse, characterized in that. According to claim 1,
Further comprising a disaster event module that notifies the user of an exceptional disaster occurrence event during the simulation execution and additionally presents a cultivation condition item according to the disaster that occurred to the user,
The evaluation module re-evaluates the user's farming knowledge score by comparing the detailed disaster prevention conditions additionally input by the user according to the disaster occurrence event and the pre-established cultivation recipe DB,
wherein the simulation module resets the simulation duration in inverse proportion to the number of detailed disaster prevention condition items input by the user and the re-evaluated farming knowledge score. 7. The method of claim 6,
Meta further comprising a calculation module for calculating expected income based on the purchased land cost, the selected crop purchase cost, the purchase cost of a paid item among the input detailed cultivation conditions, and the expected sales amount of the crop produced according to the simulation result A farm education simulation server using a bus.

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