KR102567682B1 - Ai spray cultivation and wastewater minimization method for health management of smart fram root zone - Google Patents

Abstract

AI spray cultivation and wastewater minimization method for smart farm rhizosphere health management of the present invention irradiates ultraviolet light and white light to enable photosynthesis of seedlings on the top of the cultivation table placed inside the cultivation box for spray hydroponic cultivation light irradiation step; A darkroom environment configuration step of configuring the root zone at the bottom of the cultivation table as a darkroom environment; A pipe and spray nozzle arrangement step of arranging a plurality of nutrient solution supply pipes and a plurality of spray nozzles so that the nutrient solution is directly sprayed to the roots of the seedlings; Spraying step of spraying the nutrient solution; And a collection step of arranging the bottom surface of the cultivation box at an angle so that the nutrient solution that flows down after being sprayed on the roots of the seedlings is automatically collected in the nutrient solution container, and the upper plate of the cultivation table is configured to form the root zone into a darkroom environment. It is coated with silver aluminum foil, and a black paper port preventing light penetration is inserted into a hole in the cultivation bed through which the roots of the seedlings pass. Through the AI spray cultivation and wastewater minimization method for managing the soundness of the smart farm root zone of the present invention, wastewater generation can be minimized by calculating and spraying the nutrient solution injection amount in advance through analysis of the cultivation environment.

Description

AI spray cultivation and wastewater minimization method for health management of smart farm root zone {AI SPRAY CULTIVATION AND WASTEWATER MINIMIZATION METHOD FOR HEALTH MANAGEMENT OF SMART FRAM ROOT ZONE}

The present invention relates to smart farms, and more particularly, to AI (Artificial Intelligence) spray cultivation and wastewater minimization methods for smart farm rhizosphere health management.

The present invention relates to a system and method for spraying hydroponic cultivation indoors in a facility house, and indoor spraying hydroponics for cultivating seedlings for the purpose of water, nutrient solution, disaster prevention, etc. It relates to a cultivation system and method.

Hydroponics is a technology that grows plants by spraying moisture, nutrients, and disaster prevention solutions according to the spray amount and spray time determined by the system according to the purpose. In order to respond to climate change due to technological development and environmental pollution and to efficiently use agricultural land, a technology that facilitates plant growth by utilizing IT technology and control technology is required.

Hydroponic cultivation is a method of cultivating crops with a culture solution in which crops are fixed to support in a liquid state without using soil in various ways and essential elements necessary for growth are dissolved in appropriate concentrations according to their absorption rates. It is divided into non-solid agar medium method, etc.

In the lower part spraying method, there are many cases in which a tank for filling the nutrient solution is provided for each cultivation box so that the nutrient solution is sprayed with many spray nozzles directly below the root of the plant. In this case, the manufacturing cost is excessive compared to the growth efficiency. Therefore, it is not economical, and when a tank is provided for each cultivation box, the operation of filling the tank with nutrient solution, washing, and repairing is very cumbersome and inconvenient to use.

In addition, when moss or green algae are propagated inside the cultivation box, the spray nozzle located on the floor is frequently blocked, so there is a high risk of spraying irregularly without a constant spraying amount of the nozzle.

Registered Patent Publication 10-1372605 Registered Patent Publication 10-2320847

The present invention is to solve the above problems, and an object of the present invention is to provide an AI spray cultivation and wastewater minimization method for smart farm rhizosphere health management.

The above and other objects and advantages of the present invention will become apparent from the following description of preferred embodiments.

The purpose is to provide an AI spray cultivation and wastewater minimization method for managing the health of the root zone of the smart farm.

AI spray cultivation and wastewater minimization method for smart farm rhizosphere health management according to an embodiment of the present invention,

A light irradiation step of irradiating ultraviolet light and white light to enable photosynthesis of seedlings on the top of the cultivation bed disposed inside the cultivation box;

A darkroom environment configuration step of configuring the root zone at the bottom of the cultivation table as a darkroom environment;

A pipe and spray nozzle arrangement step of arranging a plurality of nutrient solution supply pipes and a plurality of spray nozzles so that the nutrient solution is directly sprayed to the roots of the seedlings;

Spraying step of spraying the nutrient solution; and

A collection step of arranging the bottom surface of the cultivation box inclined so that the nutrient solution flowing down after being sprayed on the roots of the seedlings is automatically collected in the nutrient solution container;

In order to configure the root zone as a darkroom environment, the upper plate of the cultivation table is coated with aluminum foil, and a black paper port preventing light from penetrating is inserted into a hole in the cultivation table through which the roots of the seedlings pass.

Preferably,

Sensing the CO ₂ concentration of the indoor greenhouse space using a CO ₂ sensor;

exhausting internal air of the indoor greenhouse space when the concentration of CO ₂ is less than a critical value; and

It further includes; taking in outside air.

Preferably,

Sensing pressure during normal spraying using a plurality of pressure sensors installed in each of the nutrient solution supply pipes;

determining whether at least one nozzle is clogged by monitoring a pressure change in the nutrient solution supply pipe; and

When it is determined that the at least one nozzle is clogged, the method further includes cleaning the clogged nozzle with water and piercing the nozzle with high-pressure water.

Preferably,

periodically sensing the illuminance of the ultraviolet light and the white light on the top of the cultivation table by using at least one illuminance sensor;

Periodically sensing the temperature of the top and bottom of the cultivation table with a plurality of temperature sensors;

Periodically sensing the humidity of the top and bottom of the cultivation table with a plurality of humidity sensors;

The CO ₂ sensor, the illuminance sensor, the temperature sensor, and the humidity sensor and the growth rate of the seedling are learned by artificial intelligence (AI) to calculate the spray amount of the nutrient solution and the spray time interval of the nutrient solution step;

The method further includes spraying the nutrient solution based on the spray amount of the nutrient solution calculated using the AI and the spray time interval of the nutrient solution.

Preferably,

Adjusting the concentration of the nutrient solution according to the type of seedling; including,

The concentration of the nutrient solution is determined based on the learning result of the AI regarding the chemical properties of the seedlings and the growth rate of the seedlings.

Preferably,

Further comprising a microbubble generating step of generating microbubbles by introducing external air into the nutrient solution supply pipe,

The spraying step sprays the microbubbles together with the spraying of the nutrient solution,

The microbubbles induce the inflow of external air through an external air inlet connected to the venturi structure of the nutrient solution supply pipe, and the passage of the air and the nutrient solution through a plurality of fine holes of the microbubble plate installed at the end of the venturi structure. created at the time

Preferably,

A negative pressure forming step of forming a negative pressure so that a small amount of air continuously flows without stagnation of air inside the root zone; is further included.

Preferably,

The method further includes filtering foreign substances contained in the nutrient solution using a filter installed inside the nutrient solution supply pipe.

The AI spray cultivation system and wastewater minimization method for managing the health of the root zone of the smart farm according to the present invention can minimize the generation of waste liquid by calculating and spraying the nutrient solution injection amount in advance through analysis of the cultivation environment.

The AI spray cultivation system and wastewater minimization method for managing the health of the root zone of the smart farm according to the present invention can prevent the nozzle from being clogged by solidifying inorganic substances in the nozzle.

In the present invention, the AI spray cultivation system and wastewater minimization method for managing the health of the smart farm root zone are configured to allow a small amount of air circulation in the root zone by AI control so that the roots of crops are exposed to oxygen and respiration and growth efficiency are improved. can be configured to improve. Through this, it is possible to reduce maintenance costs and increase productivity of crops through efficient management and wastewater reduction.

However, the effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

In order to more fully understand the drawings cited in the detailed description of the present invention, a brief description of each drawing is provided.
1 shows a flow chart of an artificial intelligence (AI) spray cultivation and wastewater minimization method for smart farm rhizosphere health management according to an embodiment of the present invention.
2 is a diagram schematically showing a side view of a cultivation box including a cultivation bed of an AI spray cultivation system for managing the health of the root zone of a smart farm according to an embodiment of the present invention.
3 is a diagram showing a top view of the cultivation bed of the AI spray cultivation system for managing the health of the root zone of the smart farm according to an embodiment of the present invention.
4 is a schematic diagram of a configuration for generating microbubbles of an AI spray cultivation system for managing the health of the root zone of a smart farm according to an embodiment of the present invention.
5 is a diagram showing an example of the arrangement of a configuration and pressure sensor for generating a nutrient solution of an AI spray cultivation system for managing the health of the root zone of a smart farm according to an embodiment of the present invention.
6 is a diagram showing a schematic view of a configuration for adjusting CO ₂ concentration for optimizing photosynthesis in an indoor greenhouse space according to an embodiment of the present invention.
7 is a diagram illustrating an exemplary computing device on which devices and/or systems in accordance with various embodiments of the present invention may be implemented.

Hereinafter, the present invention will be described in detail with reference to embodiments and drawings of the present invention. These examples are only presented as examples to explain the present invention in more detail, and it will be apparent to those skilled in the art that the scope of the present invention is not limited by these examples. .

In addition, unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of skill in the art to which this invention belongs, and in case of conflict, this specification including definitions of will take precedence.

In order to clearly explain the proposed invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification. And, when a certain component is said to "include", this means that it may further include other components without excluding other components unless otherwise stated. Also, a “unit” described in the specification means one unit or block that performs a specific function.

In each step, the identification code (first, second, etc.) is used for convenience of description, and the identification code does not describe the order of each step, and each step does not clearly describe a specific order in context. It may be performed differently from the order specified above. That is, each step may be performed in the same order as specified, may be performed substantially simultaneously, or may be performed in the reverse order.

1 shows a flow chart of an artificial intelligence (AI) spray cultivation and wastewater minimization method for smart farm rhizosphere health management according to an embodiment of the present invention.

Artificial intelligence spray cultivation and wastewater minimization method for smart farm rhizosphere health management according to an embodiment of the present invention irradiates ultraviolet light and white light to enable photosynthesis of seedlings on the top of the cultivation bed disposed inside the cultivation box. A light irradiation step (S110) is included.

Artificial intelligence spray cultivation and wastewater minimization method for smart farm rhizosphere health management according to an embodiment of the present invention includes a darkroom environment configuration step (S130) of configuring the rhizosphere at the bottom of the cultivation table as a darkroom environment.

Artificial intelligence spray cultivation and wastewater minimization method for smart farm root zone health management according to an embodiment of the present invention is a pipe for arranging a plurality of nutrient solution supply pipes and a plurality of spray nozzles so that the nutrient solution is directly sprayed on the roots of the seedlings. and a spray nozzle arrangement step (S150).

The artificial intelligence spray cultivation and wastewater minimization method for smart farm rhizosphere health management according to an embodiment of the present invention includes a spraying step (S170) of spraying a nutrient solution.

In the artificial intelligence spray cultivation and wastewater minimization method for managing the health of the root zone of the smart farm according to an embodiment of the present invention, the bottom surface of the cultivation box is tilted so that the nutrient solution flowing down after being sprayed on the roots of the seedling is automatically transferred to the nutrient solution container. It includes a collection step (S190) to be collected as.

2 shows a schematic diagram of a cultivation box 200 including a cultivation bed of an AI spray cultivation system for managing the health of the root zone of a smart farm according to an embodiment of the present invention.

The cultivation box 200 is divided into an upper part 220 and a lower part 230 of the cultivation table based on the cultivation table 210.

The upper part 220 of the cultivation bed is a greenhouse space where the photosynthesis of the seedlings 270 takes place.

The upper part 220 of the cultivation bed 210 is irradiated with ultraviolet light 290-1 and white light 290-2 so that the seedlings 270 can photosynthesize.

Ultraviolet light is irradiated using a plurality of UV LEDs for disaster prevention that can be turned on/off.

A plurality of UV LEDs are placed on the side of the cultivation box and in various positions to three-dimensionally illuminate the upper part of the cultivation box and the upper and lower sides of the cultivation box.

A plurality of UV LEDs are configured to evenly suppress the generation of germs to the back of the leaves of the seedlings.

The root zone 230 at the bottom of the cultivation table is configured in a darkroom environment.

In the artificial intelligence spray cultivation system for managing the health of the root zone of the smart farm according to an embodiment of the present invention, the upper plate of the cultivation table 210 is coated with aluminum foil to configure the root zone 230 in a dark room environment, and the seedlings are raised. Insert black paper ports to prevent light from penetrating into the holes of the planting bed through which the roots of the plant pass.

The root zone portion 230 is a space in which the roots of seedlings grow.

A plurality of nutrient solution supply pipes 260 and a plurality of spray nozzles 250 are disposed in the root zone 230 so that the nutrient solution is directly sprayed to the roots of seedlings.

A plurality of nutrient solution supply pipes 260 and a plurality of spray nozzles 250 are three-dimensionally arranged on the bottom and side of the cultivation box 200 so that the nutrient solution is directly sprayed on the roots of the seedlings 270.

The plurality of nutrient solution supply pipes 260 and the plurality of spray nozzles 250 are evenly distributed on the bottom and side surfaces of the cultivation box 200 and are arranged so that the nutrient solution is evenly sprayed to the roots of the seedlings 270.

The spray nozzle 250 is a mist nozzle and automatically selects and sprays nutrient solution, disaster prevention solution, and raw water (water) in three dimensions.

A temperature sensor and a humidity sensor 240 are disposed at positions of the cultivation box 210 to sense the temperature and humidity in the cultivation box 200, respectively.

In the artificial intelligence spray cultivation system for managing the health of the root zone of the smart farm according to another embodiment of the present invention, the temperature sensor and the humidity sensor are separately placed in the upper part of the cultivation table 220 and the lower part of the cultivation table 230, respectively. It may be configured to independently sense the temperature and humidity of the space and the temperature and humidity of the root zone 230 .

The temperature sensor and the humidity sensor may individually sense temperature and humidity periodically according to a predetermined period.

The artificial intelligence spray cultivation system for managing the health of the root zone of the smart farm according to an embodiment of the present invention is a negative pressure fan ( not shown) may be included.

The production rate can be improved by activating the respiration of the seedlings by allowing the air to flow continuously without being stagnant in the internal space of the rhizosphere part 230 using a negative pressure fan.

The artificial intelligence spray cultivation system for managing the health of the root zone of the smart farm according to an embodiment of the present invention can periodically sense the illuminance of ultraviolet light and white light at the top of the cultivation table 210 using an illuminance sensor.

3 is a diagram showing a top view of the cultivation bed of the AI spray cultivation system for managing the health of the root zone of the smart farm according to an embodiment of the present invention.

As shown in FIG. 3 , the cultivation bed 210 includes holes through which roots of seedlings pass.

Holes formed on the same line of the cultivation table 210 are spaced apart at regular intervals, and holes are formed in a zigzag pattern in the next line to sufficiently secure a growth space for seedlings.

In the artificial intelligence spray cultivation system for managing the health of the root zone of the smart farm according to an embodiment of the present invention, the top plate of the cultivation table 210 is coated with aluminum foil to configure the root zone 230 in a dark room environment.

In addition, a black paper port that prevents light penetration is inserted into the hole of the cultivation bed through which the roots of the seedling pass.

4 is a schematic diagram of a configuration for generating microbubbles of an AI spray cultivation system for managing the health of the root zone of a smart farm according to an embodiment of the present invention.

In the AI spray cultivation system for managing the health of the root zone of the smart farm of the present invention, micro bubbles are added to the nutrient solution to increase the amount of dissolved oxygen in the nutrient solution and suppress bacteria in the nutrient solution.

The AI spray cultivation system for managing the health of the root zone of the smart farm of the present invention includes a venturi structure 420 in the nutrient solution supply pipe 260 to generate microbubbles.

An external air inlet 410 is connected to the venturi structure 420 of the nutrient solution supply pipe 260.

The microbubbles induce the inflow of external air through the external air inlet 410 connected to the venturi structure 420 of the nutrient solution supply pipe 260, and the plurality of microbubble plates 430 installed at the end of the venturi structure 4520. It is created by passing air and nutrient solution through micropores. The microbubble plate 430 is sized to fit the inner diameter of the nutrient solution supply pipe 260. The microbubble plate is configured to generate microbubbles when air and nutrient solution pass through a plurality of fine holes (0.1mm to 0.5mm).

The inflow of air integrated through the external air inlet 420 is made in a direction that is direct to the flow direction of the nutrient solution or water. However, the inflow of air is made slightly inclined to the flow direction of the nutrient solution or water.

5 is a diagram showing an example of the arrangement of a configuration and pressure sensor for generating a nutrient solution of an AI spray cultivation system for managing the health of the root zone of a smart farm according to an embodiment of the present invention.

As mentioned above, hydroponic cultivation in the prior art has a problem of frequent clogging of spray nozzles.

Nutrient solutions are prepared by mixing liquid A (510), liquid B (520), liquid C (530), and water (540) in a mixing tank (560). Liquid A 510, liquid B 520, and liquid C 530 in FIG. 5 are disclosed by exemplifying fertilizers necessary for the growth of seedlings that can be used in hydroponic cultivation, as can be readily understood by those skilled in the art. Likewise, the type is not limited to a particular one.

The nutrient solution may contain organic/inorganic substances, and when the mixture of such organic/inorganic substances is insoluble in water and remains in a solid state, it may be the main cause of clogging of the spray nozzle.

The AI spray cultivation system for managing the health of the root zone of the smart farm according to an embodiment of the present invention includes a configuration that can easily solve the clogging of the spray nozzle.

The AI spray cultivation system for managing the health of the root zone of the smart farm according to an embodiment of the present invention uses the pressure sensor 570 installed in the nutrient solution supply pipe 260 to sense the pressure during normal spraying. Since the nutrient solution supply pipe 260 is composed of a plurality in the cultivation box, a pressure sensor is separately installed in each nutrient solution supply pipe, and a plurality of pressure sensors may be disposed throughout the system.

In addition, a pressure change in the nutrient solution supply pipe is monitored using a pressure sensor to determine whether at least one nozzle is clogged.

The AI spray cultivation system for managing the health of the root zone of the smart farm according to an embodiment of the present invention stores and manages the pressure data sensed using the pressure sensor 570, so that the pressure and spray nozzle during normal spraying are 1 It may be configured to determine the clogging of the nozzle by securing empirical data that can distinguish when one is clogged, when two are clogged, or when a plurality of nozzles are clogged.

Sensing result data obtained from the pressure sensor 570 may be displayed as a real-time graph to visually determine whether or not the nozzle is clogged, and if the nozzle is clogged, the user may be notified in real time through notification text.

The AI spray cultivation system for managing the health of the root zone of the smart farm of the present invention is configured to automatically determine nozzle clogging, thereby reducing the time and labor cost of manually finding nozzles clogged by a person or camera compared to conventional hydroponic cultivation systems. can do.

When it is determined that at least one nozzle is clogged, high-pressure water is discharged to the clogged nozzle to clear the nozzle.

As another embodiment of the present invention, the AI spray cultivation system for managing the health of the root zone of the smart farm may determine whether the nozzle is clogged by measuring the nutrient solution pressure at the fog nozzle.

As another embodiment of the present invention, the AI spray cultivation system for managing the health of the root zone of the smart farm may be configured to filter foreign substances contained in the nutrient solution using a filter (not shown) installed inside the nutrient solution supply pipe. In FIG. 5 , the filter may be disposed between the mixing tank 560 and the pressure sensor 570 or behind the pressure sensor 570 (to the right of the pressure sensor 570 in FIG. 5 ).

6 is a diagram showing a schematic view of a configuration for adjusting CO ₂ concentration for optimizing photosynthesis in an indoor greenhouse space according to an embodiment of the present invention.

The AI spray cultivation system for managing the health of the root zone of the smart farm of the present invention may include a CO ₂ concentration regulator 610 in an indoor greenhouse space.

In a broad sense, the indoor greenhouse space in FIG. 6 may mean a space where hydroponic cultivation is performed.

As shown in FIG. 6, the CO ₂ sensor 620 senses the CO ₂ concentration of the top of the cultivation bed.

When the CO ₂ concentration in the indoor greenhouse space is less than the critical value, the AI spray cultivation system for managing the soundness of the smart farm rhizosphere of the present invention uses the discharge pump and the exhaust valve 670 to control the interior of the indoor greenhouse space where the CO ₂ concentration is low. By exhausting the air to the outside of the greenhouse, outside air is introduced into the inside.

In addition, the AI spray cultivation system for managing the health of the root zone of the smart farm of the present invention uses an air supply pump and an intake valve 640 to suck external air with a high CO ₂ concentration.

According to an embodiment of the present invention, the AI spray cultivation system and wastewater minimization method for managing the health of the root zone of a smart farm use the sensing results of the CO ₂ sensor, illuminance sensor, temperature sensor and humidity sensor and the growth rate of seedlings by artificial intelligence ( It is possible to calculate the spray amount of nutrient solution and the spray time interval of nutrient solution by learning with AI).

The AI spray cultivation system and wastewater minimization method for managing the soundness of the smart farm root zone of the present invention is configured to automatically control the environment of hydroponic cultivation using artificial intelligence (AI), preventing bacterial propagation and crop growth in the root zone. A conducive environment can be created.

The AI spray cultivation system and wastewater minimization method for smart farm rhizosphere health management according to an embodiment of the present invention are not limited to the types of sensors disclosed above, and other types of sensors required for environmental data analysis of hydroponic cultivation. may additionally include.

The sensor disclosed in the present invention or a sensor not disclosed but required for data analysis is configured to enable the Internet of Things (IoT) function and can be configured to directly transmit and receive sensing data through artificial intelligence (AI) and a network, and additionally , artificial intelligence (AI) can be configured to directly control the sensor.

In addition, it may be configured to automatically spray the nutrient solution based on the spray amount of the nutrient solution calculated using AI and the spray time interval of the nutrient solution.

AI spray cultivation and wastewater minimization method for smart farm rhizosphere health management according to an embodiment of the present invention may be configured to adjust the concentration of nutrient solution according to the type of seedling.

The concentration of the nutrient solution may be configured to be determined based on the AI's learning results regarding the chemical properties of the seedlings and the growth rate of the seedlings.

According to an embodiment of the present invention, the AI spray cultivation system and wastewater minimization method for managing the health of the root zone of smart farms are designed to prevent environmental pollution and minimize material costs, and the concentration of nutrient solution (fertilizer) is EC, PH depending on the crop It is classified as learned data considering the chemical characteristics of crops such as addition or dilution with water.

According to an embodiment of the present invention, the AI spray cultivation system and wastewater minimization method for managing the health of the root zone of a smart farm use a plurality of individually configured control parameters according to each crop to adjust the concentration of the nutrient solution and spray the nutrient solution. (Pressure) amount and spraying time are managed.

7 is a diagram illustrating an exemplary computing device on which devices and/or systems in accordance with various embodiments of the present invention may be implemented.

Referring to FIG. 7 , an example computing device 700 in which devices in accordance with some embodiments of the present disclosure may be implemented will be described in more detail.

The computing device 700 includes one or more processors 710, a bus 750, a communication interface 770, a memory 730 for loading a computer program 791 executed by the processor 710, and a computer A storage 790 for storing the program 791 may be included. However, only components related to the embodiment of the present disclosure are shown in FIG. 7 .

Accordingly, those skilled in the art to which the present disclosure belongs may know that other general-purpose components may be further included in addition to the components shown in FIG. 7 .

The processor 710 controls the overall operation of each component of the computing device 700 . The processor 710 includes a central processing unit (CPU), a micro processor unit (MPU), a micro controller unit (MCU), a graphic processing unit (GPU), or any type of processor well known in the art of the present disclosure. It can be. Also, the processor 710 may perform an operation for at least one application or program for executing a method according to embodiments of the present disclosure. Computing device 700 may include one or more processors. The computing device 700 may refer to artificial intelligence (AI).

Memory 730 stores various data, commands and/or information. Memory 730 may load one or more programs 791 from storage 790 to execute a method according to embodiments of the present disclosure. The memory 730 may be implemented as a volatile memory such as RAM, but the technical scope of the present disclosure is not limited thereto.

The bus 750 provides a communication function between components of the computing device 700 . The bus 750 may be implemented as various types of buses such as an address bus, a data bus, and a control bus.

The communication interface 770 supports wired and wireless Internet communication of the computing device 700 . Also, the communication interface 770 may support various communication methods other than internet communication. To this end, the communication interface 770 may include a communication module well known in the art of the present disclosure.

According to some embodiments, communication interface 770 may be omitted.

The storage 790 may non-temporarily store the one or more programs 791 and various data.

The storage 790 may be non-volatile memory such as read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, or the like, a hard disk, a removable disk, or other devices well known in the art. It may be configured to include any known type of computer-readable recording medium.

Computer program 791 may include one or more instructions that when loaded into memory 730 cause processor 710 to perform methods/operations in accordance with various embodiments of the present disclosure. That is, the processor 710 may perform methods/operations according to various embodiments of the present disclosure by executing the one or more instructions.

In this specification, only a few examples of various embodiments performed by the present inventors are described, but the technical spirit of the present invention is not limited or limited thereto, and can be modified and implemented in various ways by those skilled in the art, of course.

Claims (8)

A light irradiation step of irradiating ultraviolet light and white light to enable photosynthesis of seedlings on the top of the cultivation bed disposed inside the cultivation box;
A darkroom environment configuration step of configuring the root zone at the bottom of the cultivation table as a darkroom environment;
A pipe and spray nozzle arrangement step of arranging a plurality of nutrient solution supply pipes and a plurality of spray nozzles so that the nutrient solution is directly sprayed to the roots of the seedlings;
Sensing the CO ₂ concentration of the indoor greenhouse space using a CO ₂ sensor;
exhausting internal air of the indoor greenhouse space when the concentration of CO ₂ is less than a critical value; and
inhaling outside air;
periodically sensing the illuminance of the ultraviolet light and the white light on the top of the cultivation table by using at least one illuminance sensor;
Periodically sensing the temperature of the top and bottom of the cultivation table with a plurality of temperature sensors;
Periodically sensing the humidity of the top and bottom of the cultivation table with a plurality of humidity sensors;
The CO ₂ sensor, the illuminance sensor, the temperature sensor, and the humidity sensor and the growth rate of the seedling are learned by artificial intelligence (AI) to calculate the spray amount of the nutrient solution and the spray time interval of the nutrient solution step;
a spraying step of spraying the nutrient solution based on the spray amount of the nutrient solution calculated using the AI and the spray time interval of the nutrient solution;
A collection step of arranging the bottom surface of the cultivation box inclined so that the nutrient solution flowing down after being sprayed on the roots of the seedlings is automatically collected in a nutrient solution container; and
A microbubble generating step of generating microbubbles by introducing external air into the nutrient solution supply pipe;
In order to configure the root zone in a dark room environment, the upper plate of the cultivation table is coated with aluminum foil, and a black paper port for preventing light from penetrating is inserted into a hole in the cultivation table through which the roots of the seedlings pass,
The spraying step sprays the microbubbles together with the spraying of the nutrient solution,
The microbubbles induce the inflow of external air through an external air inlet connected to the venturi structure of the nutrient solution supply pipe, and the passage of the air and the nutrient solution through a plurality of fine holes of the microbubble plate installed at the end of the venturi structure. AI spray cultivation method for smart farm rhizosphere integrity management, which is generated at the time of creation, and the inflow of the external air through the external air inlet is performed in a direction that is direct to the flow direction of the nutrient solution. delete The method of claim 1,
Sensing pressure during normal spraying using a plurality of pressure sensors installed in each of the nutrient solution supply pipes;
determining whether at least one nozzle is clogged by monitoring a pressure change in the nutrient solution supply pipe; and
AI spray cultivation method for smart farm root zone health management, further comprising the step of piercing the nozzle with high-pressure water by washing the clogged nozzle with water when the clogging of the at least one nozzle is determined. delete The method of claim 1,
Adjusting the concentration of the nutrient solution according to the type of seedling; including,
The concentration of the nutrient solution is determined based on the learning results of the AI regarding the chemical properties of the seedlings and the growth rate of the seedlings, AI spray cultivation method for managing the health of the root zone of the smart farm. delete The method of claim 1,
A negative pressure forming step of forming a negative pressure so that the internal air does not stagnate in the root zone and a small amount of air continuously flows. The method of claim 3,
AI spray cultivation method for smart farm root zone health management, further comprising filtering foreign substances contained in the nutrient solution using a filter installed inside each of the nutrient solution supply pipes.