KR102604272B1 - Crop cultivation and diagnosis guide system based on environmental and growth data of smart greenhouse - Google Patents

Abstract

The present invention relates to a cultivation and diagnostic guide system for agricultural crops in a greenhouse. According to one aspect of the present invention, a data collection device for collecting above-ground environmental data and root zone environmental data from an environmental sensor installed in a greenhouse; and the data collection device A guide server connected to the guide server, wherein the guide server provides the user's terminal with data analysis values necessary for creating a greenhouse cultivation operation environment when growing crops based on the above-ground environmental data and root zone environmental data provided by the data collection device. A cultivation and diagnosis guide system for crops in a configured greenhouse is provided.

Description

Optimal cultivation and diagnosis guide system based on smart greenhouse environment and growth data {CROP CULTIVATION AND DIAGNOSIS GUIDE SYSTEM BASED ON ENVIRONMENTAL AND GROWTH DATA OF SMART GREENHOUSE}

The present invention relates to a crop cultivation and diagnosis guide system. More specifically, for online crop cultivation management consulting and crop growth diagnosis, the growth and environment of crops are analyzed based on smart greenhouse data, and the crops are grown accordingly. This relates to a cultivation and diagnostic guide system that can diagnose growth conditions and optimally guide crop growth.

Farmers who grow crops in facility horticultural greenhouses harvest high quality and large quantities through feedback on above-ground environmental management, root zone nutrient solution mixing, irrigation amount and timing, and crop characteristic cultivation, physiological disorders, and pest prevention methods according to the external environment and growth period. For this purpose, 70-80% of farms are receiving agricultural cultivation management consulting.

However, in order to prevent and respond to crops, when abnormal signs occur, problems must be resolved through immediate consulting. A schedule must be confirmed in advance with a consultant once or twice a month, so that farmers can receive immediate consulting at the desired time. The situation is difficult. If immediate feedback is not provided, production and quality fall below 30% due to disease and poor growth, which causes a significant loss in management costs and farmers' income.

In addition, with regard to the growth status of crops currently being cultivated, farmers judge the growth status and respond accordingly by determining the direction in which the crop is currently growing, whether it is in a vegetative growth state, a reproductive growth state, and whether the plant is growing strongly or weakly. Therefore, there is a need to carry out environmental control of crops being grown.

Republic of Korea registered patent 10-2489235 (2023.01.12)

The present invention was developed based on the above-mentioned problems. The present invention remotely identifies the growing season, cultivation environment, and growth status of crops based on the greenhouse facility information and basic information of the crops currently being cultivated, and identifies problems and future management plans. The purpose is to provide an optimal cultivation diagnosis guide system that provides feedback and enables self-identification of growth status and environmental management without the help of external cultivation management consultants.

According to one aspect of the present invention in order to solve the above-described problem, a cultivation and diagnosis guide system for crops in a greenhouse is provided, the system for collecting above-ground environmental data and root zone environmental data from environmental sensors installed in the greenhouse. A data collection device; and a guide server connected to the data collection device, wherein the guide server provides data necessary for creating a greenhouse cultivation operation environment when cultivating crops based on above-ground environmental data and root zone environmental data provided by the data collection device. It is configured to provide analysis values to the user's terminal.

In the above-mentioned aspect, the guide server uses the collected ground environment data to calculate the internal temperature, daytime temperature, highest daytime temperature, lowest daytime temperature, night temperature, highest nighttime temperature, lowest nighttime temperature, ventilation temperature, and heating for one week. It is configured to provide daily and weekly average data values for temperature, CO2, external temperature, maximum solar radiation, and maximum accumulated solar radiation.

In addition, in any of the above-described embodiments, the guide server uses the collected environmental data of the root zone to calculate the cumulative irrigation amount of nutrient solution for each zone for one week, EC, pH, medium EC, temperature, solar radiation, and accumulated solar radiation as major environmental information. It is configured to provide daily and weekly average data values for temperature, humidity, moisture deficit, etc.

In addition, in any of the above-described aspects, the guide server is configured to receive basic facility information from the user's terminal, and the basic facility information includes the following information;

·Name, phone number, address

· Greenhouse area - cultivation area inside the greenhouse

· Greenhouse type - choose between vinyl and glass

· Greenhouse type - Select between single or interlocking

· Number of greenhouses - Number of greenhouses

· Cultivation method - choose between hydroponics and soil cultivation

· Screen type; and

· Nutrient type; Including.

In addition, in any of the above-described aspects, the guide server is configured to receive basic crop information from the user's terminal, and the basic crop information includes the following information;

· Items of crops grown;

· Planting density;

· Types of media used in greenhouses;

· Media capacity;

· Planting period - date of start of crop cultivation;

· Harvest start date;

· Harvest end date;

· The initial height of the formal ceremony:

It is desirable to include.

In addition, in any of the above-described aspects, the guide server is further configured to measure and receive input from the user's terminal on the growth state of the crop currently being cultivated, and the guide server includes the basic facility information, basic crop information, growth information, and is configured to provide consulting on the relevant crops remotely based on collected environmental data.

In addition, in any of the above-described aspects, the guide server provides the user terminal with a crop growth judgment table that can determine the reproductive growth and initial age of the crop, and determines the nutritional and reproductive growth of the crop based on the crop growth judgment table, It is configured to provide growth diagnosis status regarding growth intensity.

According to the present invention, the growth period, cultivation environment, and growth status of crops are remotely identified based on the greenhouse facility information and basic information of the crops currently being cultivated, and feedback is provided on problems and future management plans for external cultivation. We can provide an optimal cultivation diagnosis guide system that allows you to independently identify growth conditions and perform environmental management accordingly without the help of a management consultant.

1 is a diagram showing an example of an optimal cultivation diagnosis guide system based on smart greenhouse data-based growth and environmental analysis according to an embodiment of the present invention;
Figure 2 is a diagram showing an example of a greenhouse sensor group installed in a smart greenhouse;
Figure 2b is a diagram illustrating the connection between the control system of the smart greenhouse and the guide server;
Figure 3 is a diagram showing the above-ground environmental data resolution function provided by the above-ground environmental data analysis unit;
Figure 4 is a diagram showing the root zone environmental data inquiry function provided by the root zone environmental data analysis unit;
Figure 5 is a diagram showing the configuration of a server for remote cultivation consulting including environment and growth information to users online;
Figure 6 is a diagram illustrating an exemplary web screen for inputting basic facility information;
7 is a diagram illustrating an exemplary web screen for inputting basic crop information;
8 is a diagram showing data on a cultivation environment provided from a guide server;
Figure 9 is a diagram showing growth status information and graphs of crops input by the user;
Figure 10 is a diagram showing an online cultivation consulting registration screen provided by a guide server;
Figure 11 is a diagram illustrating a consultant's management farm setting screen provided by the guide server;
Figure 12 is a diagram illustrating a judgment table provided by a guide server for crop growth diagnosis;
Figure 13 is a diagram showing a crop growth diagnosis graph provided by the guide server to determine crop growth diagnosis.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and will be implemented in various different forms.

The examples herein are provided to make the disclosure of the present invention complete and to fully inform those skilled in the art of the scope of the invention. And the present invention is only defined by the scope of the claims. Accordingly, in some embodiments, well-known components, well-known operations and well-known techniques are not specifically described in order to avoid ambiguous interpretation of the present invention.

Like reference numerals refer to like elements throughout the specification. Also, the terms used (mentioned) in this specification are for describing embodiments and are not intended to limit the present invention. As used herein, singular forms also include plural forms, unless specifically stated otherwise in the context. Additionally, components and operations referred to as 'including (or, including)' do not exclude the presence or addition of one or more other components and operations.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings that can be commonly understood by those skilled in the art to which the present invention pertains. Additionally, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless they are defined.

Figure 1 is a diagram showing an example of an optimal cultivation diagnosis guide system (hereinafter referred to as 'cultivation diagnosis guide system') based on growth and environment analysis based on smart greenhouse data according to an embodiment of the present invention. As shown in Figure 1, the Gene system includes a data collection device 100 installed in a greenhouse 10; A user terminal 40 for transmitting the collected data to the guide server 30; It includes a guide server 30 that analyzes data transmitted from the user terminal 40, performs crop growth diagnosis, and feeds back necessary environmental management information.

The data collection device 100 includes an above-ground environmental data collection device 100a for collecting above-ground environmental data of a greenhouse and a rhizosphere environmental data collection device 100b for collecting root zone (nutrient solution) environmental data of crops. .

As shown in FIG. 2, the above-ground environmental data collection device 100a collects data related to the above-ground environment from the greenhouse sensor group provided in the greenhouse, for example, greenhouse internal temperature, greenhouse external temperature, greenhouse CO2 concentration, and solar radiation. , data such as rainfall, wind direction, and wind speed can be collected.

Meanwhile, the root zone environmental data collection device 100b collects data such as moisture content, nutrient solution amount, EC, PH, medium PH, temperature, humidity, moisture, and water temperature from the greenhouse sensor group provided in the greenhouse as shown in FIG. 2. You can.

This data collection device 100 collects data from the greenhouse internal sensor 110 for measuring the environment inside the greenhouse and the external weather sensor 120 for measuring the external environment of the greenhouse, as shown in FIG. 2A. The greenhouse internal sensor 110 is not limited to this, but is preferably a sensor installed in the ground part of the greenhouse and includes a temperature sensor 111, a humidity sensor 112, and a CO2 sensor, and is preferably installed in the rhizosphere part of the greenhouse. It may include a moisture content sensor 114, EC and Ph sensors 115, and water temperature and moisture sensors 116. In addition, in order to measure the environment outside the greenhouse, the greenhouse weather sensor 120 is not limited to this, but may include an external temperature measurement sensor 121, a wind direction and wind speed sensor 112, and a solar radiation and rainfall measurement sensor 123. , it is obvious to those skilled in the art that other additional sensors may be included depending on the region where the greenhouse is located, geographical characteristics, climate, etc.

Figure 2b is a diagram for explaining the operation between a smart greenhouse and the guide server 30 according to the present invention. As shown in Figure 2b, in the case of a typical smart greenhouse 10, a greenhouse group 10 consisting of a plurality of greenhouses 10a to 10n; It includes a composite environmental controller (20) connected to the greenhouse group or included in the greenhouse group equipment. The complex environment controller 20 collects and collects environmental data (internal temperature, humidity, C02, external temperature, wind direction, wind speed, rainfall, solar radiation, etc.) from sensor groups installed inside and outside the greenhouse as shown in FIG. Based on the sensor data, the actuators installed inside the greenhouse (skylights, curtains, insulating curtains, screens, air conditioners, floodlights, sprinklers, etc.) are driven, and the sensor data collected from the data collection device 100 is sent to the guide server ( 30), and the user is configured to access the guide server 30 through the terminal 40 and input necessary information or receive necessary information.

Referring again to FIG. 2B, a plurality of actuators 150 are provided inside or outside the greenhouse to control the environment inside the greenhouse. These drivers 150 are provided to control or provide temperature, humidity, CO2 concentration, amount of light, exhaust condition, nutrient solution, etc. inside the greenhouse. The present invention is not limited thereto, but includes window drivers including skylights and side windows; Other driving elements installed in the greenhouse, including multi-ply insulating curtain actuators, screen and non-woven fabric actuators, air conditioners, floodlight or LED actuators, CO2 generators, flow fan or exhaust fan actuators, sprinkler actuators, fumigators, nutrient extractors, and drainage recyclers. Other actuators may be further provided in response to these.

The functions of the complex environment controller 20 provide a sensor monitoring function, an actuator status monitoring function, and a device malfunction detection function. The sensor monitoring function collects environmental detection data from environmental sensors installed in the ground and root zone, and the actuator status monitoring function collects the actuator operation and opening rate status inside the greenhouse (e.g., opening/starting for each actuator, automatic/manual status, and It functions to monitor the operating time (measurement of operation time), and the device malfunction detection function detects when values are not input from each sensor inside the controller, when the driver electrical signal inside the controller is not detected, or when abnormal environmental values exceeding or falling below the standard are detected. It functions to alert you when this occurs.

In addition, the complex environment controller 20 functions to generate and output automatic control commands for drivers in the greenhouse, specifically, window drivers including side windows and ceilings, light blocking drivers such as screens and non-woven fabrics, and curtain drivers such as thermal curtains. , air conditioner, flow fan, dehumidifier, exhaust fan, fogger, fumigator, etc. It functions to generate and output commands to operate or stop the temperature and humidity control driver, light control driver, and nutrient solution.

The guide server 30 is configured to analyze the above-ground environmental data analysis unit 31 and the root zone environmental data collection device 100b for analyzing the above-ground environmental data collected from the above-mentioned environmental data collection device 100a. It includes a root zone environmental data analysis unit 32 for analyzing minor environmental data.

The above-ground environmental data analysis unit 31 provides inquiry and analysis of above-ground environmental data. Figure 3 is a diagram showing the above-ground environmental data correction function provided by the above-ground environmental data analysis unit 31. As shown, the above-ground environment data analysis unit 31 analyzes the internal temperature, daytime temperature, highest daytime temperature, lowest daytime temperature, nighttime temperature, highest nighttime temperature, and nighttime temperature for a week based on a designated date to analyze data on the aboveground environment of the greenhouse. It is operated to display the daily average and weekly average data values for minimum temperature, ventilation temperature, heating temperature, CO2, external temperature, maximum solar radiation, and maximum accumulated solar radiation on the screen.

The above-ground environmental data analysis unit 31 provides data analysis values necessary for creating a greenhouse cultivation operation environment when growing crops based on the collected above-ground environmental data, providing decision-making information (information as shown in Table 1), For example, temperature and humidity left and right deviation, ventilation and heating temperature deviation, temperature by cycle, temperature deviation before and after sunrise, early evening-night temperature deviation, accumulated temperature and accumulated light amount, temperature compared to light amount, temperature compared to solar radiation, high and low temperature times during day and night, week. ·Includes nighttime excessive humidity/drying time, maximum internal and external temperature deviation, storm limit exceeding time, frost limit time, rainfall time, wind direction time on the left and right sides of the ventilation window, CO2 control deviation, actuator operation time, heating water temperature deviation, and maximum rising and falling temperature. Provides information.

[Table 1] Data provided through analysis of ground environment data

As shown in FIG. 4, the root zone environmental data analysis unit 32 collects the cumulative irrigation amount of nutrient solution by zone for a week based on the date designated for the weekly root zone (nutrient solution) environmental analysis, EC as main environmental information, It is configured so that daily and weekly average data values for pH, medium EC, temperature, solar radiation, accumulated solar radiation, temperature and humidity, moisture deficit, etc. can be viewed.

In addition, the root zone environmental data analysis unit 32 provides data analysis values necessary for creating a greenhouse cultivation operation environment when growing crops based on raw data values collected by sensors on the ground part of the exterior and interior of the greenhouse, providing information for decision-making ( information as shown in Table 1), such as solar radiation at the start of irrigation, irrigation amount compared to solar radiation, accumulated solar radiation before termination, remaining light amount after termination, irrigation amount per m2, irrigation amount compared to light amount, required drainage amount, control nutrient solution deviation, etc. Provides information.

[Table 2] Data provided through analysis of environmental data of the Roots Zone Department

Figure 5 is a diagram showing the configuration of a server for remote cultivation consulting including environment and growth information to users online. As shown in FIG. 4, the guide server 30 includes a web interface for exchanging information with the user terminal, and the user inputs information about the facility and information about the crops being grown through the web interface. do.

More specifically, the guide server 30 includes a facility and crop basic information input unit 33 and a crop growth information input unit 34 in addition to the ground part environmental data analysis unit 31 and the root zone environmental data analysis unit 32 as described above. Includes. The user is configured to input basic facility information and crop growth information through a web interface such as a web page, and the guide server 30 collects the basic facility information and crop growth information entered by the user and the data collection device as described above. It is configured to provide feedback on crop cultivation based on environmental data.

For cultivation management consulting, users must provide greenhouse facility information (area, type, type, cultivation method, actuator, nutrient solution type, etc.), crop items, planting density, medium type, medium capacity, planting time, harvest start, and end date. Accurate consulting is possible based on automatically collected environmental information, driver status and settings information, and growth status information for each crop.

For online growth and cultivation consulting, the user first enters the basic information of the facility and crops through the screen provided on the web page for basic information input as shown in Figures 6 and 7 (hereinafter referred to as the facility and crop basic information input section). I do it. Basic facilities and basic crop information are linked to the cropping schedule for growth self-diagnosis, and it is advisable to enter the basic information for each cropping season to manage past cropping schedule history. The basic facility information consists of entering the information of the currently growing greenhouse, curtain, and nutrient solution type, and the basic crop information includes items (tomato, paprika, strawberry), planting density, medium type, capacity, planting time, harvest start, and end. By entering the date, etc., it is used as basic information for the consultant to provide consulting.

1) Basic information on facilities and crops

① Basic facility information

· Name, phone number, and address are linked to the basic information entered when signing up for the platform.

· Greenhouse area: Greenhouse interior cultivation area (pyeong) (numeric text input)

· Greenhouse type: Choose between vinyl or glass

· Greenhouse type: Select between single or interlocking

· Number of greenhouses: Enter the number text of the number of greenhouses.

· Cultivation method: Choose between hydroponics and soil cultivation

· Screen type: 1-layer, 2-layer, and 3-layer must be entered respectively, and the actuator is input at the corresponding location such as light blocking screen, multi-layer insulating curtain, non-woven fabric, etc.

· Type of nutrient solution: In the case of nutrient solution, the detailed control functions are different depending on the manufacturer, so enter the manufacturer.

② Basic crop information

· Item: Select the crop you are growing among tomatoes, paprika, and strawberries (information about the crop in the growth self-diagnosis menu is displayed depending on the item selected)

· Planting density: Number of planted crops per cultivation unit area (m2) Enter text number

· Media type: Enter text for the type of media used in the greenhouse (ex, coco peat, rock wool, perlite, coir, etc.)

· Medium capacity; Input number text for capacity of badge (ℓ/㎡)

· Planting period: Date of start of crop cultivation (yyyy-mm-dd)

· Harvest start date: Date on which crops begin to be harvested (yyyy-mm-dd)

· Harvest end date: The date on which the crop season (harvest) ends; the expected harvest date must be entered when entering basic information (new information cannot be entered before the end date ends)

· Plant height at planting time: Length from the site (medium/soil) to the growing point

2) Major environmental information

Key environmental information is collected and stored by the environmental data collection device installed in the greenhouse, and in this menu, the daily average and weekly average for the two weeks prior to the selected date for temperature, humidity, CO2, and accumulated solar radiation, which are important elements of the greenhouse's internal environment. A service is provided so that data can be viewed in text and graph.

By using this, the consultant can check data on the currently maintained cultivation environment in the corresponding menu, as shown in FIG. 8, and can also check environment and driver status information in the data analysis menu.

For cultivation management consulting, the user measures the growth status of the crop currently being cultivated and inputs it through the growth status information input unit 34. Through this, users can check the status at the time they wish to receive consulting, and can compare and analyze previously entered information with graphs or data.

Tables 3 and 4 below show examples of inputting crop growth status of tomatoes and paprika.

[Table 3] Example of inputting tomato plant growth status information

[Table 4] Example of paprika crop growth status information input

Figure 9 is a diagram showing the growth status information and graph of the entered crop. It is possible to check the growth information trend for each entered item during one crop period, and the history of each input can be checked at the bottom of the graph as shown in Figure 9. It is configured to make this possible.

Referring again to FIG. 5, the guide server 30 includes an online cultivation consulting unit 35. When the user inputs facility and crop basic information and crop growth status information through the guide server 30 and environmental data is collected from the user's greenhouse, the online cultivation consulting department 35 of the guide server 30 is based on the input information. You can remotely register for consulting on the farmer's greenhouse crops. When registering for consulting, it can be sent to the consultant by APP push and SMS text messaging, or if the consultant has a question, the user can register the question and notify the consultant.

Figure 10 is a diagram showing an example of an online cultivation consulting registration screen. The manager can register necessary information between the user (farmer) and the consultant through the online cultivation consulting department as shown in FIG. 10. In this online cultivation consulting platform, the manager can match multiple farmers (users) to one consultant, as shown in FIG. 11, and farmers can be registered by setting the consultant's authority.

Referring again to FIG. 5, the guide server 30 further includes a crop growth self-diagnosis unit 37. This is based on horticultural standards such as the direction in which the crops being cultivated by the user, the farmer, are currently growing, whether the growth is vegetative or reproductive, and whether the plant is growing strongly or weakly. By inputting growth information of the current crop, the farmer diagnoses the current state and provides information that can change the current growth state in the desired direction through environmental control. This makes it possible to determine the growth status of crops on one's own without the help of an external cultivation management consultant through self-diagnosis of crop growth, and thus allows optimal cultivation management by referring to information that can be used to manage the environment in the right way. This supports the cultivation of high-quality, large-quantity crops.

In order to self-diagnose the growth status of crops, the user can diagnose crop growth by creating a crop growth diagnosis table that can determine reproductive growth and first age through the crop self-diagnosis unit 37 as shown in FIG. 12. This becomes possible.

Necessity of measuring vegetative and reproductive growth: Tomatoes are crops in which vegetative and reproductive growth occur simultaneously, so it is necessary to accurately determine whether growing tomatoes are growing vegetatively or reproductively, and to measure growth (vegetative growth) as intended by the grower. By creating an environment that can induce (or reproductive growth), it is possible to improve productivity and quality, and control shipping dates.

Necessity of measuring growth intensity: Growth intensity is an important factor in knowing what the crop's current strength is and what it will be in the future. By regularly measuring the thickness of the stem, it is possible to determine whether the crop's growth is getting stronger or weaker. Through this, Efficient management of crops is possible.

[Table 5] Example of topato growth diagnosis table

[Table 6] Example of paprika growth diagnosis table

[Table 7] Example of strawberry growth diagnosis table

The crop growth self-diagnosis unit 37 can determine the growth diagnosis status and crop condition for nutritional-reproductive growth and growth intensity during the relevant cropping season according to the results of the crop growth diagnosis table, and will help select a cultivation method. It provides a standard for judging the state of change through comparison with the state of the last planting season.

Figure 13 is a diagram showing a crop growth diagnosis graph. In the crop growth diagnosis graph, the sum of the initial reception of scores specified in the crop growth judgment table is displayed graphically on the horizontal It is possible to check the growth direction of crops cumulatively during one cropping period.

In addition, it is configured so that it is possible to select and compare the growth direction during multiple growing seasons with the growth direction of the current growing season or a specific growing season, providing a standard for judging the state of change.

According to the present invention, it is possible to remotely determine the growth period, cultivation environment, and growth status of crops based on the greenhouse facility information and basic information of the crops currently being cultivated, and provide feedback on problems and future management plans. In addition, it is possible to provide an optimal cultivation diagnosis guide system that allows the user to independently determine the growth status and perform environmental management accordingly without the help of an external cultivation management consultant.

The device described above may be implemented with hardware components, software components, and/or the device described above may be implemented with hardware components, software components, and/or a combination of hardware components and software components. For example, devices and components described in the embodiments include, for example, a processor, a controller, an Arithmetic Logic Unit (ALU), a Digital Signal Processor, a microcomputer, and a Field Programmable Gate Array (FPGA). , may be implemented using one or more general-purpose computers or special-purpose computers, such as a Programmable Logic Unit (PLU), a microprocessor, or any other device that can execute and respond to commands. A processing device may execute an operating system (OS) and one or more software applications that run on the operating system. Additionally, a processing device may access, store, manipulate, process, and generate data in response to the execution of software. For ease of understanding, there are cases where a single processing device is described, but those skilled in the art will understand that the processing device includes multiple processing elements and/or multiple types of processing elements. It can be seen that it may include. For example, a processing device may include a plurality of processors or one processor and one controller. Additionally, other processing configurations, such as parallel processors, are also possible.

Software may include a computer program, code, commands, or a combination of one or more of these, and may configure a processing unit to operate as desired, or may be processed independently or collectively. You can command the device. Software and/or data may be used on any type of machine, component, physical device, virtual equipment, computer storage medium or device to be interpreted by or to provide instructions or data to a processing device. It can be embodied in . Software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on the medium may be specially designed and configured for the embodiment or may be known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -Includes optical media (Magneto-Optical Media) and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions include machine language code, such as that produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc.

As described above, although the embodiments have been described with limited examples and drawings, various modifications and variations can be made by those skilled in the art from the above description. For example, the described techniques are performed in a different order than the described method, and/or components of the described system, structure, device, circuit, etc. are combined or combined in a different form than the described method, or other components are used. Alternatively, appropriate results may be achieved even if substituted or substituted by an equivalent.

Therefore, other implementations, other embodiments, and equivalents of the claims should also be construed as falling within the scope of the claims described below.

10: Greenhouse group 20: Complex controller
30: Guide server 40: User terminal
31: Ground environmental data analysis department
32: Environmental Data Analysis Department, Root Sphere Department
33: Facility and crop basic information input unit
34: Crop growth status information input unit
35: Online cultivation consulting department
37: Crop growth self-diagnosis section
100: data collection device
150: Actuator group

Claims (7)

A data collection device for collecting above-ground environmental data and root zone environmental data from environmental sensors installed in the greenhouse; and
a guide server connected to the data collection device; and
It includes a consultant terminal and a grower user terminal connected through a web interface connected to the guide server,
The guide server provides the user's terminal with data analysis values necessary to create a greenhouse cultivation operation environment when growing crops based on the above-ground environmental data and root zone environmental data provided by the data collection device,
The guide server uses the collected ground environment data to calculate the internal temperature, daytime temperature, highest daytime temperature, lowest daytime temperature, nighttime temperature, highest nighttime temperature, lowest nighttime temperature, ventilation temperature, heating temperature, CO2, and external temperature for one week. It is configured to provide daily average and weekly average data values for temperature, maximum solar radiation, and maximum accumulated solar radiation,
The guide server uses the collected environmental data of the root zone to calculate the cumulative irrigation amount of nutrient solution for each zone over a period of one week, and the main environmental information such as EC, pH, medium EC, temperature, solar radiation, accumulated solar radiation, temperature and humidity, moisture shortage, etc. Configured to provide average, weekly average data values,
The guide server is configured to receive basic facility information from the user's terminal, and the basic facility information includes the following information;
·Name, phone number, address
· Greenhouse area - cultivation area inside the greenhouse
· Greenhouse type - choose between vinyl and glass
· Greenhouse type - Select between single or interlocking
· Number of greenhouses - Number of greenhouses
· Cultivation method - choose between hydroponics and soil cultivation
· Screen type; and
· Nutrient type;
Including,
The guide server is configured to receive basic crop information from the user's terminal, and the basic crop information includes the following information;
· Items of crops grown;
· Planting density;
· Types of media used in greenhouses;
· Media capacity;
· Planting period - date of start of crop cultivation;
· Harvest start date;
· Harvest end date;
· The initial height of the formal ceremony:
Including,
The guide server is further configured to measure and receive input from the user's terminal on the growth status of crops currently being grown, and the guide server is based on the basic facility information, basic crop information, growth information, and collected environmental data. It is configured to provide consulting on the relevant crops remotely,
The guide server matches multiple users to one consultant through a web interface, and if there is an inquiry about crop cultivation from the matched user's terminal, it notifies the corresponding consultant's terminal through an APP push or SMS text. composed,
The guide server includes a crop self-diagnosis unit, and the crop self-diagnosis unit is configured to determine the crop condition and the growth diagnosis status of the nutritional-reproductive growth and growth intensity of the crop.
A greenhouse crop cultivation and diagnosis guide system. delete delete delete delete delete delete