KR20180116639A - Customized information providing system and method for cultivation of perennial crop - Google Patents

Abstract

Provided are a system and a method for providing customized information to cultivate a perennial crop which can monitor a cultivation site or a site to be cultivated for a perennial crop like bare ground ginseng, and can provide customized information for each growth stage based on monitoring information. The system comprises: a sensing unit for sensing a soil condition and a weather change at a cultivation site or a site to be cultivated for a perennial crop; and a server for monitoring information from the sensing unit, generating a decision-making model for the cultivation site or the site to be cultivated for each period based on the monitored information and the soil environmental information, and generating and providing customized information corresponding to a current state of the cultivation site or the site to be cultivated based on the decision-making model for each period for data most recently provided by the sensing unit.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and apparatus for providing information for cultivating perennial crops,

The present invention relates to a system and method for providing customized information for culturing perennial crops, and more particularly, to a system and method for providing customized information necessary for the cultivation of perennial crops such as non-ginseng.

Currently, rural areas are experiencing a lot of problems in terms of productivity and economic efficiency due to the increase in the population of the aged population who lacks aging and cultivation experience and the importation of agricultural products due to FTA. Although various attempts have been made to solve this problem, they have not been practically effective.

In particular, in order to solve these problems, farmers' interest in cultivating high-yielding special crops instead of existing cultivation methods is growing, and cultivating perennial crops such as non-ginseng.

However, due to lack of information on soil environment change in ginseng cultivation, the problem of Korean rural area is not solved due to the incidence of pests and non - scientific cultivation.

The cause of insect pests is exemplified by abnormal changes in lightness, temperature, and humidity, and changes in the state of ginseng due to changes in numerical values such as Ph and salinity due to multi-sequence.

As a result, the farmers can check the status of the farmers through the pesticide spraying based on the insect calendar and the request for soil analysis to the higher level agricultural management institution.

However, if the pesticide is sprayed according to the prescribed rules without grasping the precise state of the present land, the pesticide problem and land pH and salinity are changed, which causes deterioration of quality of ginseng and other insect pests.

Then, in the farmhouse, the soil of the ginseng cultivation area is dried and finely sprayed and sent to a higher-level institution, and the higher-level organization analyzes the condition of the soil in detail and after 15 days, the farmer is consulted for the condition and response. However, in case of ginseng, it is possible to generate insect pests within 15 days.

Prior Art 1: Korean Patent Publication No. 10-2012-0064763 (Ubiquitous Ginseng Cultivation System) Prior Art 2: Korean Patent No. 10-1146055 (Agricultural Environment Monitoring System and Method) Prior Art 3: Korean Patent Publication No. 10-2016-0088019 (Plant Plant System for Special Crop Cultivation) Prior Art 4: Korean Patent Publication No. 10-2017-0014045 (Plant Growth Monitoring System)

DISCLOSURE Technical Problem The present invention has been proposed in order to solve the above-mentioned problems of the prior art, and it is an object of the present invention to provide a perennial crop cultivation method capable of monitoring the state of a cultivation area or a planting place of a perennial crop, The present invention provides a system and method for providing customized information.

In order to achieve the above object, a customized information providing system for perennial crop cultivation according to a preferred embodiment of the present invention includes a sensing unit for sensing a soil condition and a weather change of a cultivation area or a planting place of a perennial crop; And a control unit for monitoring the information from the sensing unit, generating a decision model for each plant or cultivated area based on the monitored information and the soil environment information, and for the data most recently provided by the sensing unit, And a server for generating and providing customized information corresponding to the current state of the plantation site or the planted plant based on the determination model.

The sensing unit may include a sensor for sensing PH, salt, carbon dioxide, amount of sunshine, temperature / humidity, and wind speed.

The server may further monitor soil microorganism test result information (microbial species and density, etc.) from the soil microorganism tester terminal.

The soil microorganism test result information may include a result of soil fertility analysis that is based on gene-based changes in soil fertility.

The soil environmental information is information obtained through an external public API, and includes soil characteristics of the cultivation area or cultivation area, chemical properties of the cultivation area or cultivated area, soil verification information of the cultivation area or cultivated area, fertilizer use prescription information, And agricultural environment change information.

The server can generate decision models for each period by applying the decision contents of the experts based on the monitored information and the soil environment information to the learning algorithm.

Wherein the decision of the expert is made based on the annual growth calendar information of the perennial crop as additional base data and the server generates the decision tree of the expert decision of the expert created using the annual growth calendar information of the perennial crop as additional base data May be applied to the learning algorithm to generate the decision model for each period.

The server can notify the abnormality of the information from the sensing unit.

The server selects a decision model corresponding to the weather condition of the data most recently provided by the sensing unit from among the decision models according to the period, and, based on the selected decision model, Information can be generated.

The customized information may include at least one of notification information for the growth stage of the perennial crop, and information on the insect pest alert according to the season of the perennial crop.

The server may send the monitored information to the user.

A customized information providing method for perennial crop cultivation according to a preferred embodiment of the present invention is a method for providing customized information in a customized information providing system for perennial crop cultivation,

Sensing soil condition and meteorological changes at the cultivation site or the planting site of the perennial crop; Monitoring the sensed information; Generating a decision model based on the monitored information and the soil environment information on the plantation site or the planting site; Generating customized information corresponding to the current state of the plantation site or the planting site based on the periodic decision model for the latest sensed data in the sensing step; And providing the generated customized information.

According to the present invention having such a structure, a monitoring system for cultivating perennial crops such as non-ginseng can be constructed, and customized information for each growing stage can be provided based on the monitoring data.

Accordingly, accurate analysis of the cause of insect pests for pesticide application and rapid response to experimental results can be performed.

In particular, management costs can be reduced by performing appropriate soil condition monitoring.

The cost can be reduced by performing appropriate measures according to the soil condition rather than spraying the pesticide by specific period. Appropriate pesticides can increase the commerciality due to the reduction of residual pesticides in perennial crops (eg, ginseng).

1 is a diagram illustrating a customized information providing system for perennial crop cultivation according to an embodiment of the present invention.
2 is a diagram showing an example of the sensing unit shown in FIG.
3 is a diagram illustrating an internal configuration of the server shown in FIG.
4 is a flowchart illustrating a method for providing customized information for culturing perennial crops according to an embodiment of the present invention.
5 to 16 are views employed in the flowchart of FIG.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail.

It should be understood, however, that the invention is not intended to be limited to the particular embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

The terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms "comprises" or "having" and the like are used to specify that there is a feature, a number, a step, an operation, an element, a component or a combination thereof described in the specification, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, 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 commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the relevant art and are to be interpreted in an ideal or overly formal sense unless explicitly defined in the present application Do not.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In order to facilitate the understanding of the present invention, the same reference numerals are used for the same constituent elements in the drawings and redundant explanations for the same constituent elements are omitted.

FIG. 1 is a diagram showing a customized information providing system for culturing perennial crops according to an embodiment of the present invention, and FIG. 2 is a diagram illustrating an example of the sensing unit shown in FIG.

The soil microorganism tester terminal 20, the external disclosure API 30, the user terminal 40, the expert terminal 50, and the user terminal 40. The customized information providing system for perennial crop cultivation according to the embodiment of the present invention includes a sensing unit 10, A network 60, and a server 70. As shown in FIG.

The sensing unit 10 can sense the soil condition and the weather change in the cultivation area or the planting site of the perennial crop (for example, Japanese ginseng) in real time.

For example, the sensing unit 10 may have a stick shape, and may be installed so as to be deeply inserted into the soil of the cultivation area or the soil to be cultivated, as shown in FIG. 2, while a part (that is, upper part) is exposed to the ground.

The sensing unit 10 may include a sensor 11, a communication module 12, and a solar cell 13.

The sensor 11 is capable of sensing PH, salt (EC), carbon dioxide, amount of sunshine, temperature / humidity, wind speed, etc. in the soil (i.e., underground) and ground.

The communication module 12 processes the signal generated by the sensor 11 to generate data, processes the generated data into transmittable data, and transmits the processed data to the server 70 through the network 60. [

The solar cell 13 can supply power to the sensor 11 and the communication module 12. [

The sensing unit 10 described above is not fixedly installed at the initially installed position but may be moved to another position if necessary.

In addition, the sensing unit 10 may be installed at one or more of cultivation sites or cultivation sites of perennial crops.

The soil microorganism tester terminal 20 can transmit information (microbial species and density, etc.) of the soil microorganism in the cultivation area or the planting site of the perennial crop (for example, Japanese ginseng) to the server 70 via the network 60 .

Soil microorganism testing is necessary for a uniform quality cultivation and production distribution system. For this purpose, a soil microorganism inspector can diagnose the root rot disease of green ginseng by confirming soil microorganism using a diagnostic kit at the inspection site. In other words, the microorganism distribution of the corresponding ginseng cultivated soil is secured by PCR analysis of soil microorganisms. By analyzing the distribution of internal soil microorganisms by PCR analysis of the cultivated ginseng soils and quantifying them, it is possible to obtain a soil microorganism identification and microbial control effect essential for ginseng growth.

Ungyoin ginseng grows in the same soil for many years unlike other crops, so it is necessary to measure the fertility of the land in the future. The consumption of intellect due to the ginseng cultivation causes soil physical deterioration, pathogen density and toxin to increase, resulting in a base phenomenon. Thus, it is possible to take necessary measures by analyzing the change of soil fertility caused by the cultivation of a perennial crop (for example, Japanese ginseng) by gene-based analysis and providing the present accurate state.

The soil microorganism tester terminal 20 may be implemented as a portable terminal or a portable computer. Here, the portable terminal is a wireless communication device that is guaranteed to be portable and mobility, and can be used as a personal communication system (PCS), a global system for mobile communications (GSM), a personal digital cellular (PDC), a personal handyphone system (PHS) Assistant, IMT (International Mobile Telecommunication) -2000, Code Division Multiple Access (CDMA) -2000, W-Code Division Multiple Access (W-CDMA), Wireless Broadband Internet (Wibro) (Handheld) based wireless communication device. The portable computer may include a notebook, a laptop, and the like.

The soil microorganism tester terminal 20 may be a smart device such as a smart phone, a smart note, a tablet PC, a wearable computer, or the like.

The external disclosure API 30 is an API (Application Programming Interface) that is publicly available for use by anyone. For example, the external public API 30 may include a soil API, a weather API, and the like. As a soil environmental information system, soil lime can provide soil analysis information and recommend appropriate amount of fertilizer.

The user terminal 40 is a terminal used by a grower of a perennial crop (for example, a non-ginseng).

The user terminal 40 can access the server 70 through the network 60 to request and receive various kinds of information. For example, the user terminal 40 can input various kinds of information for registering members, request data viewing, update information, and the like.

The user terminal 40 may be implemented as a portable terminal or a portable computer. Here, the portable terminal is a wireless communication device that is guaranteed to be portable and mobility, and can be used as a personal communication system (PCS), a global system for mobile communications (GSM), a personal digital cellular (PDC), a personal handyphone system (PHS) Handheld devices such as a handheld device, an assistant, an IMT (International Mobile Telecommunication) -2000, a Code Division Multiple Access (CDMA) -2000, a W-CDMA ) Based wireless communication devices. The portable computer may include a notebook, a laptop, and the like.

In addition, the user terminal 40 may be a smart device such as a smart phone, a smart note, a tablet PC, a wearable computer, or the like.

Of course, the user terminal 40 may be a standalone type computer PC.

The expert terminal 50 is a terminal used by professionals who perform tasks related to perennial crops such as the NACF, the Agricultural Technology Center, and the National Institute of Horticultural Science (classification by institutional character and role).

The expert terminal 50 can access the server 70 through the network 60 to request and receive various kinds of information. For example, the expert terminal 50 can input decision contents, input various kinds of information for membership registration, request data viewing, update information, and the like. Here, the contents of the decision are reviewed by a specialist who reads various kinds of information (microbial test result, physicochemical data, weather data, agricultural log, etc.) collected on a certain period or on a certain date for the ginseng cultivated land, It can mean one piece of information.

The expert terminal 50 may be implemented as a portable terminal or a portable computer. Here, the portable terminal is a wireless communication device that is guaranteed to be portable and mobility, and can be used as a personal communication system (PCS), a global system for mobile communications (GSM), a personal digital cellular (PDC), a personal handyphone system (PHS) Assistant, IMT (International Mobile Telecommunication) -2000, Code Division Multiple Access (CDMA) -2000, W-Code Division Multiple Access (W-CDMA), Wireless Broadband Internet (Wibro) (Handheld) based wireless communication device. The portable computer may include a notebook, a laptop, and the like.

The expert terminal 50 may be a smart device such as a smart phone, a smart note, a tablet PC, a wearable computer, or the like.

Of course, the expert terminal 50 may be a stand alone PC PC.

The network 60 may be implemented in any type of wireless network such as a mobile radio communication network, a satellite communication network, a Bluetooth, a Wireless Broadband Internet (Wibro), a High Speed Downlink Packet Access (HSDPA) have.

The network 60 may be implemented as any type of wired network such as a local area network (LAN), a wide area network (WAN), or a value added network (VAN).

Of course, the network 60 may be a mixed wireless and wired network.

The server 70 can communicate with the soil microorganism tester terminal 20, the user terminal 40 and the expert terminal 50 through the network 60. [

The server 70 receives and monitors the information from the sensing unit 10 in real time, and monitors the information of the monitored and the soil environment (that is, the data in the soil environment information system of the earth soil) and the annual growth calendar information of the perennial crop Based on this, you can create a time-based decision model. The server 70 may generate customized information corresponding to the current state of the plantation site or the planting site based on the periodic decision model for the data most recently provided by the sensing unit 10. [

3 is a diagram showing an internal configuration of the server 70 shown in FIG.

The server 70 includes a receiving unit 71, a data storing unit 72, a monitoring unit 73, a decision model generating unit 74, a customized information generating unit 75, a transmitting unit 76, 77).

The receiving unit 71 can receive information from the sensing unit 10 in real time.

Of course, the receiving unit 71 may receive information from the soil microorganism tester terminal 20, the user terminal 40, and the expert terminal 50, and may receive various requests and information update requests.

The data storage unit 72 includes a monitoring information storage unit 72a, a member information storage unit 72b, and a decision content storage unit 72c.

The monitoring information storage unit 72a may store information monitored by the monitoring unit 73. [

The member information storage unit 72b stores the information of the registered member. Here, the registered member may be a grower who wants to grow or grow a perennial crop. In addition, the registered members can be the NACF, the Agricultural Technology Center, the Gardening Research Center, and so on. The information of the subscriber registered as a member may include, for example, an ID, a name, an address, a resident registration number, a title, a department, a contact number, a password,

The decision content storage unit 72c stores the decision contents of the expert. At this time, decision contents can be stored for each farmland. Here, the decision content does not have one decision content for one farmland, but information (soil condition, weather, etc.) of the sensing unit 10 changes according to time, The decision content will accumulate. For example, the decision content may be accumulated in one unit, week unit, or month unit. In the embodiment of the present invention, one decision unit may be accumulated in units of weeks.

The monitoring unit 73 may monitor the sensing information (e.g., stream data) received by the receiving unit 71. [

At this time, since the sensing information of the sensing unit 10 is transmitted in real time, the monitoring unit 73 will perform stream analysis. The monitoring unit 73 can grasp the abnormality of the collected data through stream analysis. That is, the monitoring unit 73 can detect anomaly of the stream data. Among these collected data, abnormal data is excluded from transmission and analysis.

In addition, the monitoring unit 73 may exclude a value of a certain range or more from the collected data from transmission and analysis.

On the other hand, the monitoring unit 73 can receive and monitor the soil microorganism test result information from the soil microorganism tester terminal 20. Here, information on soil microbial count includes the result of analysis of soil fertility by gene-based variation of soil fertility.

The monitoring unit 73 can notify the user and / or the specialist if there is any abnormality in the monitored data (i.e., collected data).

The decision model generating unit 74 generates a decision model for each plant or a planned plant based on the information monitored by the monitoring unit 73 and the soil environmental information (i.e., the data in the soil environmental information system of the soil collector) can do. Here, the soil environment information is information obtained through the external public API 30. For example, soil environmental information may include soil characteristics of a plantation or a planting site, chemical properties of a plantation site or a planting site, soil test information of a plantation or a planting site, fertilizer use prescription information, and agricultural environment change information (i.e., Heavy metal content change, etc.).

The decision-making model generating unit 74 generates a decision algorithm based on the information monitored by the monitoring unit 73 and the soil environment information by a learning algorithm (for example, a deep-running algorithm) To generate a decision-making model for each period.

Of course, if necessary, the decision model generating unit 74 may calculate the decision contents of the experts based on the information monitored by the monitoring unit 73, the soil environmental information, and the annual growth calendar information of the perennial crop, , And deep learning algorithm) to generate a decision model for each period.

More specifically, for example, an expert can identify weekly monitored information, weekly soil environmental information, and weekly growth calendar information for farmland A (plantation or planting site). Therefore, the experts can make decisions (opinions) on the information monitored on the weekly basis of farmland A. In this way, the decision made by the expert on a weekly basis can be said to be the above-mentioned decision.

Therefore, as described above, the decision contents of the experts can be generated one by one per week for cultivation or planned cultivation of perennial crops, so that a decision-making model for each period can be generated one by one on a weekly basis.

Since the information monitored on a weekly basis may differ from state to state and may differ from the soil environment information and growth calendar information for each state, the decision-making models generated on a weekly basis may include physicians based on different input conditions It can be seen as a decision model.

As a result, the decision-making model for each period is not renewed but accumulates continuously.

In the embodiment of the present invention, a cyclic neural network that can learn long-term dependency, that is, long short term memory networks (LSTM), is used as a deep learning algorithm. LSTM is designed to solve the long-term dependency problem, and all the circulating neural networks have repeating neural network modules in a chain form. One repeating module contains four interacting layers.

In addition, the above-described deep learning algorithm may use a well-known deep learning algorithm.

The customized information generating unit 75 may generate customized information corresponding to the current state of the plantation site or the planting site based on the periodically determined model for the data most recently provided by the sensing unit 10. [

In other words, the customized information generating unit 75 generates the customized information from among the plurality of periodical decision models for the data most recently provided by the sensing unit 10 (i.e., the data most recently received by the receiving unit 71) And selects a time-based decision model that best matches the conditions. Based on the selected decision model, the customized information generating unit 75 can generate customized information corresponding to the current state of the plantation site or the planting site to be cultivated.

Here, the customized information may include at least one of information informing information (fertilizer and pesticide type, input amount, watering period and amount of water) of the perennial crop (for example, Japanese ginseng) have.

The transmitting unit 76 can transmit the customized information generated by the customized information generating unit 75 to the user terminal 40. [

Of course, the transmitting unit 76 may transmit the monitored information from the monitoring unit 73 to the user terminal 40 or the expert terminal 50.

The transmitting unit 76 may send a message to the user terminal 40 or the expert terminal 50 informing the abnormality of the corresponding information as the monitoring unit 73 detects an abnormality of the collected data. Here, the message may be generated in the monitoring unit 73 or in the control unit 77. [

The control unit 77 controls the overall operation of the server 70. [

FIG. 4 is a flowchart for explaining a customized information providing method for perennial crop cultivation according to an embodiment of the present invention, and FIGS. 5 to 16 are views employed in the flowchart of FIG.

First, at least one sensing unit 10 installed in a cultivation area or a cultivation area of a perennial crop (particularly, a Japanese ginseng) senses the soil condition and the weather change of the corresponding cultivating area or cultivated area in real time (S10).

The sensing unit 10 transmits the sensed information to the server 70 through the network 60 (S20).

Accordingly, the server 70 monitors the received sensing information (that is, information obtained by sensing the PH, salt, carbon dioxide, sunlight amount, temperature / humidity, wind speed, etc.) in the soil (underground) and ground (S30). At this time, the server 70 transmits the monitored information to the user terminal 40 or the expert terminal 50. Accordingly, when the user terminal 40 is a standalone type computer PC, a screen showing information on the own plantation is displayed as illustrated in FIG. In case of a standalone type computer PC, the expert terminal 50 displays various monitoring information and information capable of making a decision, as illustrated in FIG.

On the other hand, when the user terminal 40 or the expert terminal 50 is a smart device, various growth environments can be selectively confirmed on a mobile screen as shown in FIGS. When "indoor humidity" is selected on the screen of FIG. 6, the screen as shown in FIG. 7 is changed.

In particular, when collecting and monitoring the sensing information from the sensing unit 10, the server 70 may receive and monitor the soil microorganism test result information from the soil microorganism tester terminal 20 together. In this case, the server 70 determines whether or not the data collected by the stream analysis is abnormal. In addition, the server 70 may collect data that is not normal due to a device / communication state or the like. Then, the server 70 can detect data having a value of a certain range or more among the collected data.

For example, assuming that normal data (stream data) is collected as shown in FIG. 8, it is possible to detect anomaly of collected data (i.e., stream data) when data is collected as shown in FIG. have. Accordingly, the server 70 excludes abnormal data among the collected data from transmission and analysis. Then, the server 70 can inform the user that there is an abnormality in the monitored information.

Thereafter, the server 70 stores the information of the perennial crop plantation or the planting location, the information of the soil environment, and the expert's decision contents based on the annual growth calendar information of the perennial crop, To generate a decision model for each period (S40). For example, as shown in FIG. 10, the expert can confirm the information monitored weekly for the agricultural land A through the terminal 50, the soil environment information for the week, and the weekly growth calendar information. In Fig. 10, reference numeral 81 denotes a selection button for searching for a farmland. Reference numeral 82 denotes an area for outputting information on farmland (lot number, owned farmhouse, year of cultivation, etc.). Reference numeral 83 denotes an area for outputting a farmland map. Reference numeral 84 denotes a selection window for selecting a day / year. Reference numeral 85 denotes a selection window for selecting a week / year to be searched. Reference numeral 86 denotes an area for outputting sensor-specific data. Reference numeral 87 denotes an area for outputting microorganism test results close to the selected date. Reference numeral 88 denotes an area for outputting physicochemical data (data obtained through the earthenware API) close to the selected date. Reference numeral 89 denotes an area for outputting weather data close to the selected date (data obtained through the weather API). Reference numeral 90 denotes an area for outputting a logbook. Therefore, the expert can input the information on the screen as shown in FIG. 10 and the decision (i.e., evaluation) on the information monitored on the weekly basis of the farmland. On the other hand, in FIG. 10, reference numeral 91 denotes an input window through which an expert can enter a decision. Reference numeral 92 denotes a selection button that can store the evaluated content (i.e., decision content).

With regard to data browsing, only the data on the corresponding cultivated farmland can be read at the farmhouse as shown in FIG. As shown in FIG. 12, the expert (particularly, the NACF) can only browse the data of the farm area of the member farmhouse belonging to the member's area. The expert (particularly, the agricultural technology center) can browse only farmland data in the corresponding jurisdiction area as shown in FIG. For example, since the agricultural technology center A is in charge of the area a and the area b, only the data of the farmland 1, 2 and the farmland 5 in the area a of the farmland 1 can be browsed. Agricultural technology center B has jurisdiction of area c, so only data of farmland 4 of farmhouse 2 can be read. The Agricultural Technology Center C has jurisdiction over the area d, so that only the data of farmland 6 of the farmhouse 2 can be read. As shown in FIG. 14, the experts (in particular, the Horticultural Research Institute) can browse data on all ginseng farmland.

Then, the server 70 generates customized information corresponding to the current state of the plantation site or the planting site based on the periodic decision model for the latest sensed data in the sensing unit 10 (S50). In other words, the server 70 determines whether or not the most recently provided data in the sensing unit 10 (i.e., the data most recently received by the receiving unit 71) Select one period-specific decision model to be matched. Then, the server 70 generates customized information corresponding to the current state of the plantation site or the planting site based on the selected decision model.

Finally, the server 70 provides customized information for the generated growth stage to the user (S60). At this time, the customized information for the growing stage can be exemplified by the main notification for each stage of growth shown in FIG. 15 and the soil condition and the information indicating the time of insect damage according to the year of growing the crop.

According to the embodiment of the present invention as described above, it is possible to construct a monitoring system for culturing perennial crops such as non-ginseng and provide customized information for each growing stage based on the monitoring data.

Especially, it is possible to utilize the information about soil environment change in ginseng cultivation actively, and it is possible to select kinds of fertilizer, amount of fertilizer and kinds and application amount of pesticide for pest prevention.

Accordingly, it is possible to maintain a certain amount of varieties every year and to secure price competitiveness.

In addition, the customized information providing method for culturing perennial crops of the present invention can be implemented as computer readable codes on a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like. In addition, the computer-readable recording medium may be distributed over network-connected computer systems so that computer readable codes can be stored and executed in a distributed manner. And, functional programs, codes and code segments for implementing the above method can be easily inferred by programmers of the technical field to which the present invention belongs.

As described above, an optimal embodiment has been disclosed in the drawings and specification. While specific terms have been employed herein, they are used for the purpose of describing the invention only and are not used to limit the scope of the invention as defined in the claims or the claims. Therefore, those skilled in the art will appreciate that various modifications and equivalent embodiments are possible without departing from the scope of the present invention. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

10: sensing unit
20: soil microorganism tester terminal
30: External public API
40: User terminal
50: Expert terminal
60: Network
70: Server
71: Receiver
72: Data storage unit
73: Monitoring section
74: Decision model generation unit
75: Customized information generating unit
76:
77:

Claims (20)

A sensing unit sensing a soil condition and a weather change of a cultivation area or a planting site of a perennial crop; And
Monitoring the information from the sensing unit, generating a decision model for each plant or cultivated area based on the monitored information and the soil environment information, And generating and providing customized information corresponding to the current status of the plantation site or the planting site based on the model. The method according to claim 1,
The sensing unit includes:
PH, salt, carbon dioxide, sunlight, temperature / humidity, and wind velocity. The method according to claim 1,
The server comprises:
Wherein the information of the soil microorganism test result from the soil microorganism tester terminal is further monitored to provide a customized information providing system for perennial crop cultivation. The method of claim 3,
The soil microorganism test result information includes,
And a soil fertility analysis result obtained by analyzing the change in the fertility of the soil on a gene basis. The method according to claim 1,
The soil environment information includes,
The information obtained through the external public API and the information about the soil characteristics of the cultivation area or the planting area, the chemical properties of the planting area or the planting area, the soil inspection information of the planting area or the planting area, the fertilizer use prescription information, Wherein the information includes at least one of the following: The method according to claim 1,
The server comprises:
Wherein the decision-making model for the perennial crops is generated by applying the decision-making contents of the experts based on the monitored information and the soil environment information to the learning algorithm. The method of claim 6,
The decision of the expert is made based on the annual growth calendar information of the perennial crop as additional base data,
Wherein the server generates the decision-making model for the perennial crop by applying the decision-making contents of the expert generated using the annual growth calendar information of the perennial crop as additional base data to the learning algorithm, Information providing system. The method according to claim 1,
The server comprises:
And informing the abnormality of the information from the sensing unit. The method according to claim 1,
The server comprises:
A decision model matching the weather condition of the data most recently provided by the sensing unit is selected from among the decision models based on the period and customized information on the current state of the plantation site or the planting site is generated based on the selected decision model Wherein the information is provided by a computer. The method according to claim 1,
The customized information
Information about the growth stage of the perennial crop, and information on the insect pest alert for each perennial crop. The method according to claim 1,
The server comprises:
And transmitting the monitored information to a user. A method for providing customized information in a customized information providing system for perennial crop cultivation,
Sensing soil condition and meteorological changes at the cultivation site or the planting site of the perennial crop;
Monitoring the sensed information;
Generating a decision model based on the monitored information and the soil environment information on the plantation site or the planting site;
Generating customized information corresponding to the current state of the plantation site or the planting site based on the periodic decision model for the latest sensed data in the sensing step; And
And providing the generated customized information. ≪ Desc / Clms Page number 21 > The method of claim 12,
Wherein the monitoring comprises:
And further monitoring the information of soil microorganism test results to provide a customized information providing method for perennial crop cultivation. 14. The method of claim 13,
The soil microorganism test result information includes,
And a soil fertility analysis result obtained by analyzing a change in the fertility of the soil based on a gene. The present invention also provides a method for providing customized information for culturing a perennial crop. The method of claim 12,
The soil environment information includes,
The information obtained through the external public API and the information about the soil characteristics of the cultivation area or the planting area, the chemical properties of the planting area or the planting area, the soil inspection information of the planting area or the planting area, the fertilizer use prescription information, Wherein the method comprises the steps of: The method of claim 12,
The step of generating the period-
Wherein the decision-making model is generated by applying the decision-making contents of the experts based on the monitored information and the soil environment information to the learning algorithm, to thereby generate the decision-making model for each period. 18. The method of claim 16,
The decision of the expert is made based on the annual growth calendar information of the perennial crop as additional base data,
Wherein the step of generating the decision-making model by the period comprises applying the decision-making contents of the expert generated using the annual growth calendar information of the perennial crop as additional base data to the learning algorithm to generate the decision- A method of providing customized information for the cultivation of perennial crops. The method of claim 12,
Wherein the monitoring comprises:
And a step of informing an abnormality of the sensed information in the sensing step. The method of claim 12,
Wherein the step of generating the customized information comprises:
Selecting a decision model corresponding to the weather condition of the most recently provided data in the sensing step from among the decision models according to the period and generating customized information on the current state of the plantation site or the planting site based on the selected decision model Wherein the method comprises the steps of: The method of claim 12,
The customized information
Wherein the information includes at least one of informing information of the perennial crop and information of the insect pest alert according to the season of the perennial crop.

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