Aquaculture / hydroponic cultivation system, aquaculture / hydroponic cultivation method, aquaculture / hydroponic cultivation program, and aquaculture / hydroponic cultivation device

By integrating a system of water quality and soil monitoring and automatic adjustment, the problem of maintaining stable water quality and soil quality for a long time by using a household Aquaponics system is solved, and automated environmental monitoring and adjustment are realized to ensure the healthy growth of fish and plants.

JP7665887B2Active Publication Date: 2025-04-22高山 英俊
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Patent Information

Application Number
JP2021008186
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2021-01-21
Publication Date
2025-04-22
Estimated Expiration
2041-01-21

AI Technical Summary

Technical Problem

The existing household aquaculture and hydroponics systems (Aquaponics) are difficult to maintain stable water and soil quality for beginners over the long term, and are prone to disrupting the balance of nitrogen circulation due to seasonal changes, resulting in unhealthy growth of fish and plants.

Method used

A system that integrates water quality and soil monitoring and automatic adjustment is designed to monitor environmental parameters in real time through water quality and soil sensors, and data analysis and automatic adjustment are used to use control units and cloud computing platforms to ensure suitable water quality and soil conditions.

Benefits of technology

It realizes automatic maintenance of water quality and soil conditions without professional knowledge, ensures healthy growth of fish and plants, and reduces the maintenance burden and risk of errors for users.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

To provide an aquatic breeding / hydroponics system and the like that enable a user to continue to have an interest in bred and cultivated creatures and handle them at ease without abandonment.SOLUTION: An aquatic breeding / hydroponics system for making water or solution circulate in a system including an aquatic breeding unit 220 and a hydroponics unit 200 to breed aquatic creatures in the aquatic breeding unit 220 and cultivate plants in the hydroponics unit 200 comprises: sensing units 225, 209 for performing sensing on the aquatic breeding unit 220's breeding state excluding feeding and the hydroponics unit 200's cultivation state excluding pruning, thinning-out, and harvesting of plants; a control unit 301 for calculating breeding / cultivation condition data for making growth states of the aquatic creatures or the plants be excellent on the basis of sensing results; and breeding / cultivation condition updating units 226, 210 that on the basis of the breeding / cultivation condition data calculated by the control unit 301, update a breeding condition of the aquatic breeding unit 220 or a cultivation condition of the hydroponics unit 200.SELECTED DRAWING: Figure 2
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Description

[Technical field]

[0001] The present invention relates to an aquaculture / hydroponic cultivation system, an aquaculture / hydroponic cultivation method, an aquaculture / hydroponic cultivation program, and an aquaculture / hydroponic cultivation device. [Background technology]

[0002] A technology called aquaponics, which combines conventional aquaculture with hydroponic cultivation, has been attracting attention (for example, Patent Document 1, Non-Patent Document 1). In aquaponics technology, ammonia and nitrite, which are highly toxic to fish and originate from the excrement and residual food of aquatic organisms, are oxidized to nitrate, which is less toxic to fish, by microorganisms and aeration. In this technology, nitrate ions that accumulate in the water over time are recycled and used as fertilizer for plant cultivation. The purified water from which the nitrate ions have been removed is returned to the aquaculture tank. This process is called the nitrification cycle. By purifying the water quality (biological filtration) using natural material circulation, a clean state is maintained by self-purification without the need to actively wash the tank or soil. As a result, a symbiotic environment is realized in which aquatic organisms such as fish can be raised and hydroponic cultivated.

[0003] In aquaponics, it is possible to produce agricultural products while raising aquatic organisms by using plants such as fruits and vegetables. Therefore, compact aquaponics technology for home use that allows home gardening and raising aquatic organisms at the same time has been proposed (for example, Patent Document 2 and Patent Document 3). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 61-111639 [Patent Document 2] Patent No. 6724003 [Patent Document 3] Utility Model Registration No. 3111953 [Non-patent literature]

[0005] [Non-Patent Document 1] Aquaponics Guidelines, August 2015, ISBN: 978-9935-9283-1-3, printed by Haskolaprent, Reykjavik, Iceland, Layout: Anna Maria Proppe, Internet search on December 28, 2020, URL: https: / / www.researchgate.net / publication / 282732809_Aquaponics_Guidelines Summary of the Invention [Problem to be solved by the invention]

[0006] On the other hand, in aquaponics, it is usually necessary for an expert who is well versed in the knowledge of handling fish and plants to breed and cultivate them. These tasks require daily care, cleaning, and maintenance, and are cumbersome. However, the above-mentioned conventional technology of aquaponics for home use only provides a compact housing. Therefore, when these housings are used in an ordinary home, breeding will be done with little knowledge about aquaponics. This makes it difficult to stabilize the water quality and soil quality at the beginning of breeding. In addition, it is difficult to maintain a breeding environment based on an appropriate nitrification cycle for a long period of time, such as several months to several years. In particular, the nitrification cycle is easily broken by harvesting cultivated plants or by changes in the surrounding environment such as temperature and humidity due to seasonal changes. However, for beginners, the learning load is very high in order to maintain the self-purification action by maintaining the nitrification cycle. As a result, users abandon breeding midway, which is one of the factors that hinders the spread of aquaponics to homes.

[0007] Under the above circumstances, an aquaponics system is desired that allows ordinary household users who do not have much knowledge about raising fish and plants to raise them with peace of mind. Therefore, efforts to automate aquaponics are being considered by introducing IoT (Internet of Things) and ICT (Information and Communication Technology). However, conversely, if all of the aquaponics raising and cultivation processes are automated, there is a problem that users lose interest in the things they raise and cultivate at home. Furthermore, there is also the problem that it is difficult to restore the balance of the nitrification cycle when it is temporarily lost. As a result, there is a problem that fish and plants do not grow healthily.

[0008] Therefore, an object of the present invention is to provide an aquaponics system (aquaculture / hydroponic cultivation system), an aquaculture / hydroponic cultivation method, an aquaculture / hydroponic cultivation program, and an aquaculture / hydroponic cultivation device that allow users to maintain an interest in the organisms they are raising and cultivating and work on them with peace of mind without abandoning them. [Means for solving the problem]

[0009] The present invention relates to An aquaculture / hydroponic cultivation system having an aquaculture section and a hydroponic cultivation section, in which water or a solution is circulated within the system, aquatic organisms are raised in the aquaculture section, and plants are cultivated in the hydroponic cultivation section, The water quality of the water or solution in the aquarium in the aquaculture section; The medium of the plant bed in the hydroponic cultivation section At least one of the following: electrical conductivity of water or solution, hydrogen ion concentration and, A sensing unit that senses the a control unit that calculates breeding and cultivation condition data for improving the growing conditions of the aquatic organisms and the plants based on the results of the sensing; An aquatic breeding / hydroponic cultivation system is provided, comprising: a breeding / cultivation condition update unit that updates the breeding conditions in the aquatic breeding unit and the cultivation conditions in the hydroponic cultivation unit based on the breeding / cultivation condition data calculated by the control unit. Effect of the Invention

[0010] According to the present invention, it is possible to realize an aquaponics system (aquaculture / hydroponic cultivation system), an aquaculture / hydroponic cultivation method, an aquaculture / hydroponic cultivation program, and an aquaculture / hydroponic cultivation device that allow a user to maintain an interest in the organisms they are raising and cultivating and work on them with peace of mind without abandoning them. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 is an external view of a home aquaponics system according to an embodiment. [Diagram 2] FIG. 1 is a system configuration diagram of a home aquaponics system according to an embodiment. [Diagram 3] FIG. 1 is a diagram showing an example of the configuration of a network used by a home aquaponics system of an embodiment. [Figure 4] FIG. 1 is a block diagram showing a configuration example of an aquaponics cloud. [Diagram 5] FIG. 4 is a block diagram relating to an example of a detailed configuration of a regression calculation unit. [Figure 6] FIG. 2 is an explanatory diagram of the breeding and cultivation process in the aquaponics system of the embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. Fig. 1 is an external view of a home aquaponics system 100 according to an embodiment. A housing 101 of the home aquaponics system 100 is made of, for example, furniture-like wood or ABS resin. A plant bed 103 is set in the housing 101, and an aquarium 104 is set below the plant bed. A lighting and air conditioning unit 102 is also arranged on the top of the housing 101, and a control unit 105 and a display 106 are placed in the space at the bottom of the housing 101.

[0013] FIG. 2 is a system configuration diagram of a home aquaponics system 100 according to an embodiment. The home aquaponics system 100 includes a hydroponic cultivation section 200, an aquatic culture section 220, a control unit 105, and a display 106. This system allows the rearing of fish 232 and the cultivation of plants 215 to coexist by circulating water or a solution between the aquatic culture section 220 and the hydroponic culture section 200. Hereinafter, the term "water" includes a solution containing a water quality regulator. In this embodiment, the rearing in the aquatic culture section 220 is intended for fish 232, but may include the rearing of aquatic organisms other than fish.

[0014] Fish 232 are bred in the aquatic breeding section 220. The aquatic breeding section 220 includes an aquarium 104 (FIG. 1), a circulation pump 221, an aquarium water supply pipe 205, an air supply pump 222, an air supply pipe 223, a heater 224, a group of water quality sensors 225, a water quality conditioner adding device 226, a water quality conditioner cartridge 227, an aquarium top lid 228, and aquarium water 229.

[0015] The aquarium 104 is made of a transparent box-shaped member made of, for example, acrylic resin or glass so that the inside can be seen from the side of the housing 101. Aquarium water 229 is poured into the aquarium 104 up to a water surface 230. Fish 232 are bred in the aquarium 104.

[0016] The circulation pump 221 pumps up tank water 229 in the tank 104 and supplies it to the plant bed 103 in the hydroponic cultivation section 200 through the tank water supply pipe 205. The circulation pump 221 is supplied with power from a power source (not shown).

[0017] The air supply pump 222 aerates the aquarium water 229 by supplying air 231 containing oxygen from the atmosphere to the aquarium water 229 in the aquarium 104 via the air supply pipe 223. The air supply pump 222 maintains a sufficient concentration of dissolved oxygen in the aquarium water 229. The air supply pump 222 is supplied with power from a power source not shown.

[0018] The heater 224 keeps the tank water 229 in the tank 104 at a constant temperature, for example, about 20° C. to 25° C. The set temperature of the heater 224 is controlled by the control unit 105 connected by electrical wiring 252. The heater 224 is supplied with power from a power source (not shown).

[0019] The water quality sensor group 225 is one or more sensors for sensing the water quality in the aquarium water 229. Sensing items include pH (hydrogen ion concentration), KH (alkalinity) (=amount of bicarbonate ion (HCO3-)), GH (total hardness), NH3 / NH4+ (total amount of ammonia), NO2 (nitrite), NO3 (nitrate), etc. The water quality sensor group 225 does not necessarily need to sense the values ​​of all of these sensing items, and may be one or more sensors that sense a value combining several sensing items. Each sensing value of the water quality sensor group 225 is transmitted to the control unit 105 connected by electrical wiring 253. The water quality sensor group 225 is supplied with power from a power source (not shown) as necessary. The water quality sensor group 225 is a sensor that detects the water quality of the aquarium water 229. Water quality of the water or solution in the water tank 104 The sensing unit corresponds to the sensing unit that senses the above.

[0020] The water conditioner adding device 226, which is set with one or more water conditioner cartridges 227, adds each water conditioner in each water conditioner cartridge 227 to the aquarium water 229 through a valve individually installed. The opening and closing of the valve for each water conditioner cartridge 227 of the water conditioner adding device 226 is controlled by the control unit 105 connected via an electric wiring 251. The number of water conditioner cartridges 227 may correspond to the number of sensing values ​​detected by the water quality sensor group 225, or may be a number less than that. Each water conditioner in these water conditioner cartridges 227 may be a commercially available product that adjusts or removes a component corresponding to the sensing item detected by the water quality sensor group 225. When each of the above valves is opened for a time specified by the control unit 105, an amount of water conditioner corresponding to that time is added to the aquarium water 229 from the water conditioner cartridge 227 connected to that valve. The water conditioner adding device 226 in which the water conditioner cartridge 227 is set corresponds to a part of the breeding / cultivation condition update section. More specifically, the water conditioner adding device 226 functions as a breeding condition update section that updates the breeding conditions in the aquatic breeding section 220 based on breeding condition data instructed by the control unit 105. Here, the breeding condition data is the amount of each water conditioner added, and the breeding conditions are the water quality of the components of each water conditioner in the aquarium water 229. The breeding condition data is also a part of the breeding / cultivation condition data 412.

[0021] To the aquarium top lid 228, an aquarium water supply pipe 205, an air supply pump 222, an air supply pipe 223, a water conditioner adding device 226, and an intermittent drain pipe 208 (described later) are fixed.

[0022] A plant 215 is cultivated in the hydroponic cultivation section 200. The hydroponic cultivation section 200 includes a plant bed 103, an aquarium water supply pipe 205, an intermittent drainage device 206, a physical filter 207, an intermittent drainage pipe 208, a soil sensor group 209, a soil conditioner adding device 210, a soil conditioner cartridge 211, an LED (Light Emitting Diode) light 240, a web camera 241, and a blower 242.

[0023] In the present invention, any technology that can be realized as aquaponics may be used as the configuration technology of the plant bed 103. In this embodiment, for example, the conventional technology described in the following patent document is used as an example of the configuration of the plant bed 103. However, the present invention does not relate to the detailed configuration of the plant bed 103. Therefore, the present invention does not utilize the patented invention of this conventional technology. In the following explanation of this embodiment, an overview of the configuration and function of the plant bed 103 using the above conventional technology will be explained. The detailed operation of this conventional technology will be omitted as it is described in detail in the following patent document. <Patent document>: Patent No. 6053088

[0024] The plant bed 103 is, for example, a container made of plastic resin. In the plant bed 103, a septic tank section 202 in which purifying media 212 are spread is formed at the bottom. The septic tank section 202 purifies the aquarium water 229 led from the aquarium 104 into the plant bed 103 by the aquarium water supply pipe 205 through physical filtration and biological filtration. For example, a porous material is used as the purifying media 212. Microorganisms such as nitrifying bacteria live in the purifying media 212, and the purifying media 212 has a biological filtration function. The porous material is, for example, pumice or foam bricks having a diameter of 10 to 20 mm.

[0025] In the plant bed 103, a water supply / root isolation sheet 213 is laid on the septic tank section 202. The water supply / root isolation sheet 213 is, for example, a laminate of a water retention sheet and a root-proof water-permeable sheet. The water retention sheet is, for example, a commercially available synthetic fiber such as polyester that has water retention. The root-proof water-permeable sheet is also, for example, a commercially available synthetic fiber such as polyester. This root-proof water-permeable sheet prevents the entry of roots of the plant 215 while allowing fertilizer components and water to pass through through micropores.

[0026] In the plant bed 103, an individual planter container 216 is placed in the cultivation section 201 on the water supply / root isolation sheet 213. The planter container 216 is covered with a culture medium 214, and a plant 215 is planted in the culture medium 214. The plant 215 and the culture medium 214 can be replaced for each planter container 216 at the time of harvesting, etc. The culture medium 214 absorbs water that comes out from the water supply / root isolation sheet 213 through a hole in the lower part of the planter container 216. The culture medium 214 is, for example, culture soil having air permeability and capillary water absorption. It is also possible to use a porous planter container in the plant bed 103, in which case the plant 215 can be cultivated without using the water supply / root isolation sheet 213.

[0027] A floating matter diffusion tank section 203 is provided on the side of the septic tank section 202 in the plant bed 103, and is separated from the septic tank section 202 by a floating matter diffusion net 204. The floating matter diffusion tank section 203 diffuses floating matters in the aquarium water 229 led from the aquarium 104 by the aquarium water supply pipe 205 over the entire side of the septic tank section 202 by the floating matter diffusion net 204. The floating matters are, for example, feces of fish 232, leftover food, and algae. The floating matter diffusion net 204 prevents a specific part of the purification medium 212 in the septic tank section 202 from being clogged by the floating matters. The mesh size of the floating matter diffusion net 204 is set to the maximum size that particles of the purification medium 212 cannot pass through. Aquarium water 229 is pumped up from the aquarium 104 in the aquatic breeding section 220 by a circulation pump 221 and poured into the suspended matter diffusion tank section 203 through an aquarium water supply pipe 205 .

[0028] When the water level in the plant bed 103 reaches TL1, the intermittent drainage device 206 drains the water in the plant bed 103 until it drops to TL2. The drained water is filtered by the physical filter 207 to remove minute waste matter and turbidity. The water then passes through the intermittent drainage pipe 208 and is returned to the aquarium water 229 in the aquarium 104 of the aquaculture section 220. The water level TL1 is such that the water supply / root isolation sheet 213 is immersed in the water in the septic tank section 202. As a result, the aquarium water 229 poured from the aquarium 104 to the hydroponic cultivation section 200 is purified in the septic tank section 202, and then sucked up to the surface of the medium 214 in each planter container 216 placed in the cultivation section 201 by the capillary phenomenon caused by the surface tension of the water. Then, the plants 215 planted in the medium 214 in each planter container 216 absorb the water through their roots. The intermittent drainage device 206 is configured, for example, by a Bell Siphon. Note that the configuration is not limited to a Bell Siphon, and may be such that water is sucked up by a pump and drained by gravity from a separately provided drainage pipe when the pump is turned off. In addition, water may be supplied from the pump to the plants 215 by an irrigation method in which water is supplied in droplets to each planter container 216 of the plants 215 through thin pipes branching off from the pump piping.

[0029] The soil sensor group 209 is one or more sensors for sensing the soil quality in the purification medium 212. Sensing items include EC (electrical conductivity), pH (hydrogen ion concentration), CO2 (carbon dioxide) concentration, temperature, humidity, light illuminance, etc. The soil sensor group 209 does not necessarily need to sense the values ​​of all of these sensing items, and may be one or more sensors that sense a value that combines several sensing items. Each sensing value of the soil sensor group 209 is transmitted to the control unit 105 connected by an electrical wiring 250. The soil sensor group 209 is supplied with power from a power source (not shown) as necessary. The soil sensor group 209 senses the soil quality of the medium 214 of the plant bed 103 in the hydroponic cultivation section 200. At least one of EC (electrical conductivity) and pH (hydrogen ion concentration) of water or solution The sensing unit corresponds to the sensing unit that senses the above.

[0030] The soil conditioner adding device 210, which is set with one or more soil conditioner cartridges 211, adds each soil conditioner in each soil conditioner cartridge 211 to the aquarium water 229 led from the aquarium water supply pipe 205 into the suspended matter diffusion tank section 203 through an individually installed valve. The opening and closing of the valve for each soil conditioner cartridge 211 of the soil conditioner adding device 210 is controlled by the control unit 105 connected via an electric wiring 251. The number of soil conditioner cartridges 211 may correspond to the number of sensing values ​​detected by the soil sensor group 209, or may be less than that. Each soil conditioner in these soil conditioner cartridges 211 may be a commercially available product that adjusts or removes a component corresponding to a sensing item detected by the soil sensor group 209. When each of the valves is opened for a time designated by the control unit 105, the soil conditioner is added in an amount corresponding to the time from the soil conditioner cartridge 211 connected to the valve to the tank water 229 in the floating matter diffusion tank section 203. The soil conditioner adding device 210 in which the soil conditioner cartridge 211 is set corresponds to a part of the rearing / cultivation condition updating section. More specifically, the soil conditioner adding device 210 functions as a cultivation condition updating section that updates the cultivation conditions in the hydroponic cultivation section 200 based on the cultivation condition data instructed by the control unit 105. Here, the cultivation condition data is the amount of each soil conditioner added, and the cultivation conditions are the soil quality of the components of each soil conditioner in the purification medium 212. The cultivation condition data is also a part of the rearing / cultivation condition data 412.

[0031] When the soil sensor group 209 senses the temperature, humidity, or light illuminance, the control unit 105 may control the temperature of a heater (not shown), the spray amount, spray time, and spray time interval of a sprayer (not shown), or the illumination time and illumination time interval of the LED light 240 as cultivation conditions.

[0032] The LED light 240 is installed in the lighting and air conditioning unit 102 (FIG. 1) of the housing 101. When the home aquaponics system 100 is used indoors, the LED light 240 can illuminate the plant 215. The LED light 240 is supplied with power from a power source (not shown). As described above, the lighting time and lighting time interval of the LED light 240 may be controlled by the control unit 105.

[0033] The web camera 241 captures images of the growing state of the cultivated plant 215. The image data is transmitted to the control unit 105 via the electrical wiring 255.

[0034] The blower 242 is installed in the lighting and air conditioning section 102 (FIG. 1) of the housing 101. The blower 242 blows air toward the plant 215. The blowing time and intervals are controlled by the control unit 105 connected via electrical wiring 256.

[0035] The control unit 105 is a small computer system configured using, for example, a single board computer. The control unit 105 calculates breeding and cultivation condition data 412 (addition amount of water quality conditioner or soil quality conditioner) for improving the growth condition of the fish 232 or the plant 215 based on the sensing results of the water quality sensor group 225 or the soil quality sensor group 209 (sensing section).

[0036] In this embodiment, the control unit 105 causes an external cloud computer system connected via the Internet 300 to execute the above calculation process. In this case, the control unit 105 and the external cloud computer system together correspond to a control unit for executing the above calculation process. If the control unit 105 has sufficient computing power, it may execute the above calculation process within its own unit.

[0037] Fig. 3 is a diagram showing an example of the configuration of a network used by the home aquaponics system 100. The home aquaponics system 100 having the configuration shown in Figs. 1 and 2 is connected to the Internet 300 by the control unit 105. An aquaponics cloud computer system 301 for executing the above calculation process is connected to the Internet 300. Hereinafter, the aquaponics cloud computer system 301 will be abbreviated as aquaponics cloud 301.

[0038] Fig. 4 is a block diagram showing a configuration example of the aquaponics cloud 301. The sensing value receiving unit 400 receives sensing values ​​411 transferred from the control unit 105 (Fig. 2) via the Internet 300 (Fig. 3). As described in Fig. 2, these sensing values ​​411 are acquired by the control unit 105 from the water quality sensor group 225 or the soil quality sensor group 209.

[0039] The sensing value recording unit 401 is a storage device that records the sensing values ​​411 received by the sensing value receiving unit 400 for a certain period (for example, two weeks to one month).

[0040] Next, we will explain the regression calculation unit 402 and the rearing / cultivation condition data calculation unit 403. Now, if A is a regression analysis model matrix, X is an input matrix, and B is a score output value, the following equation (1) is established as a matrix calculation equation. AX = B (1) The regression analysis model matrix A is a matrix for predicting the score output value B from the input matrix X. The input matrix X includes the sensing value 411. The score output value B is a score indicating how well the input matrix X fits the regression analysis model indicated by the regression analysis model matrix A. In this embodiment, the score output value B indicates a score regarding the growth state of the aquatic organism 232 or the plant 215. If the value of the score output value B is large, the growth state is good, and if the value of the score output value B is small, the growth state is poor. When the sensing value 411 included in the input matrix X is time-series data, the score output value B is also time-series. When the average value of the sensing values ​​411 recorded in the sensing value recording unit 401 is used as the input matrix X, the score output value B is a fixed value.

[0041] The regression calculation shown in formula (1) is executed by the regression calculation unit 402. The score output value B obtained as a result of this calculation is output as a score value indicating the growth state. If the score output value B is equal to or greater than a predetermined threshold value, the growth state is determined to be good. In this case, the aquaponics cloud 301 does not perform any further control.

[0042] If the score output value B is less than a predetermined threshold, the growth condition is determined to be poor. In this case, the rearing / cultivation condition data calculation unit 403 calculates rearing / cultivation condition data 412 for improving the growth of the aquatic organism 232 or the plant 215 by the following calculation.

[0043] Let X1 be the input matrix when the growth condition is poor, and B1 be the score output value at that time. Let ε be the score difference value (tolerable residual) to be improved from the score output value B1, and let X' be the input matrix data set after improvement. In this case, X' is the inverse matrix A of the regression analysis model matrix A. -1 It can be calculated using the following formula (2). A(X1-X')-B1=ε Therefore, X'=X1-A -1 (B1+ε) (2)

[0044] The rearing / cultivation condition data calculation unit 403 uses X' calculated by the above formula (2) to perform a calculation similar to the above formula (1) by the following formula (3). As a result, the score output value B2 corresponding to X' is calculated. B2=AX' (3)

[0045] The rearing / cultivation condition data calculation unit 403 generates rearing / cultivation condition data 412 based on this X' when the score output value B2 is better than B1. However, there is a possibility that the sensing value 411 as each matrix element of the improved input matrix data set X' may be a value that is not suitable for rearing the aquatic organism 232 or cultivating the plant 215. Therefore, the rearing / cultivation condition data calculation unit 403 executes repeated calculations, for example, by a genetic algorithm, while satisfying the allowable residual ε, until the sensing value 411 as each matrix element of X' falls within the range of conditions suitable for rearing or cultivating. The rearing / cultivation condition data calculation unit 403 outputs the rearing / cultivation condition data 412 using the calculated X'. Specifically, the rearing / cultivation condition data calculation unit 403 outputs the difference sensing value of each element of the difference matrix calculated as (X'-X1) as a part of the rearing / cultivation condition data 412. Furthermore, the breeding / cultivation condition data calculation unit 403 outputs, as a part of the breeding / cultivation condition data 412, identification information indicating which sensing item each of the differential sensing values ​​corresponds to, in pairs with each of the differential sensing values.

[0046] Fig. 5(a) is a block diagram showing a first detailed configuration example of the regression calculation unit 402 in Fig. 4. The regression calculation unit 402 uses a multiple regression model 500 to calculate an input matrix X including the sensing values ​​411 as matrix elements, and outputs a score output value B.

[0047] 5(a), a principal component analysis processing execution unit 501 executes a principal component analysis process on a large number of pre-prepared teacher sensing values ​​502. The principal component analysis processing execution unit 501 generates a multiple regression model 500 as a weighted sum of principal components obtained by the principal component analysis process, and sets it in the regression calculation unit 402.

[0048] For the configuration example of FIG. 5(a), the rearing / cultivation condition data calculation unit 403 of FIG. 4 executes the following process for each of the predetermined sensing items among the multiple sensing items. Here, the sensing items are the types of the sensing values ​​411 as explanatory variables calculated for each principal component constituting the multiple regression model 500. Among those sensing items, the predetermined sensing items have a weight coefficient value equal to or greater than a predetermined threshold value when expanded into the multiple regression model 500. That is, when the regression calculation unit 402 determines that the growth condition is poor, the rearing / cultivation condition data calculation unit 403 calculates, for each of the predetermined sensing items, a difference value between the sensing value input to the multiple regression model 500 and a sensing value calculated in advance when the growth condition is good. Then, the rearing / cultivation condition data calculation unit 403 outputs the difference value as rearing / cultivation condition data 412 together with the identification information of the predetermined sensing item.

[0049] The breeding / cultivation condition data transmission unit 404 transmits the breeding / cultivation condition data 412 output by the breeding / cultivation condition data calculation unit 403 via the Internet 300 (Figure 3) to the control unit 105 (Figure 2) in the domestic aquaponics system 100.

[0050] Fig. 5(b) is a block diagram showing a second detailed configuration example of the regression calculation unit 402 in Fig. 4. The regression calculation unit 402 uses a regression neural network model (hereinafter abbreviated as "regression NN model") 510 to calculate an input matrix X including sensing values ​​411 as matrix elements, and outputs a score output value B.

[0051] In Figure 5 (b), a regression neural network model learning unit (hereinafter abbreviated as "regression NN model learning unit") 511 generates a regression NN model 510 by performing a learning process on a large number of data sets of pre-prepared teacher sensing values ​​512 and teacher score output values ​​513, and sets it in the regression calculation unit 500.

[0052] For the configuration of FIG. 5(b), the rearing / cultivation condition data calculation unit 403 executes the following process for each of the predetermined sensing items among the multiple sensing items. Here, the sensing items are the types of the sensing values ​​411, which are the matrix elements of the input matrix X input to the regression NN model 510. Among those sensing items, the predetermined sensing items are those in which the sum of the weight coefficient values ​​for each neuron on the reverse path obtained by tracing the reverse path from the neurons of the output layer to the neurons of the input layer in the regression NN model 510 is equal to or greater than a predetermined threshold value. That is, when the regression operation unit 402 determines that the growth condition is poor, the rearing / cultivation condition data calculation unit 403 calculates, for each of the predetermined sensing items, a difference value between the sensing value input to the regression NN model 510 and a sensing value calculated in advance when the growth condition is good. Then, the rearing / cultivation condition data calculation unit 403 outputs the difference value as rearing / cultivation condition data 412 together with the identification information of the predetermined sensing item.

[0053] The breeding / cultivation condition data 412 transmitted from the aquaponics cloud 301 (FIG. 4) is received by the control unit 105 (FIG. 2) of the home aquaponics system 100 via the Internet 300 (FIG. 3). The control unit 105 determines the type of water conditioner or soil conditioner corresponding to the identification information of the predetermined sensing item included in the received breeding / cultivation condition data 412. The control unit 105 also determines the addition time (addition amount) corresponding to the difference value included in the breeding / cultivation condition data 412. The control unit 105 opens the valve in the water conditioner addition device 226 to which the water conditioner cartridge 227 containing the determined water conditioner is connected, or the valve in the soil conditioner addition device 210 to which the soil conditioner cartridge 211 of the determined soil conditioner is connected, for the determined addition time. As a result, the water conditioner is added to the tank water 229 in the tank 104, and the soil conditioner is added to the tank water 229 in the suspended matter diffusion tank section 203 of the plant bed 103. The amount of each of them to be added corresponds to the above-mentioned addition time.

[0054] Returning to the explanation of FIG. 3, one or more expert terminals 303 used by experts of the aquaponics system are connected to the Internet 300. An expert support network server computer system 302 is connected to the Internet 300. Hereinafter, the expert support network server computer system 302 is abbreviated as the expert support network server 302. The expert support network server 302 transfers the image data of the cultivated plant 215 transmitted from the control unit 105 and transferred via the Internet 300 to the expert terminal 303 to display it. On the other hand, the expert support network server 302 transfers the expert's advice information on pruning, thinning, or harvesting of the plant 215 transmitted from the expert terminal 303 and transferred via the Internet 300 to the control unit 105. This transfer process may be performed by a normal mail server or the like instead of the expert support network server 302. The control unit 105 displays the received advice information on the display 106.

[0055] Fig. 6 is an explanatory diagram of the breeding and cultivation process in the home aquaponics system 100 according to the embodiment described in Fig. 1 to Fig. 5. First, when starting up the home aquaponics system 100, the user executes a series of start-up steps from steps S601 to S606 in Fig. 6.

[0056] First, the user spreads the purification media 212 in the purification tank section 202 of the plant bed 103 of the hydroponic cultivation section 200 in the domestic aquaponics system 100 of FIG. 2. The user sets the floating matter diffusion net 204 on the side of the purification media 212 to secure space for the floating matter diffusion tank section 203. The user lays the water supply / root isolation sheet 213 on the upper surface of the purification media 212. Then, the user grows nitrifying bacteria in the purification media 212. Specifically, the user pours water into the purification media 212 up to a water level TL1 and adds an adjuster to grow the nitrifying bacteria therein (step S601).

[0057] Next, the user selects a combination of fish 232 and plants 215 (FIG. 2) (step S602).

[0058] Next, the user purchases fry of the fish selected in step S602 and places them in the aquarium 104 (FIG. 2) in the aquaculture section 220 (step S603). At the same time, the user turns on the power to the household aquaponics system 100. As a result, in FIG. 2, the air supply pump 222, the circulation pump 221, the heater 224, the water quality sensor group 225, the water quality conditioner adding device 226, the intermittent drainage device 206, the soil sensor group 209, the water quality conditioner adding device 226, the LED light 240, the webcam 241, the blower 242, the control unit 105, the display 106, and the like start operating.

[0059] Next, the user purchases a plant kit in which the plant 215 selected in step S602 and the culture medium 214 are set in a planter container 216. In the plant bed 103 of the hydroponic cultivation section 200, the user places the plant kit in the space of the cultivation section 201 above the water supply / root isolation sheet 213 (step S604).

[0060] Next, the user operates the control unit 105 (FIG. 2) to access the aquaponics cloud 301 (FIG. 3) from the homepage of the manufacturer that provides the home aquaponics system 100. Then, the user downloads the breeding and cultivation condition data 412 in the start-up process from the aquaponics cloud 301 to the control unit 105. As a result, the control unit 105 determines the type of water conditioner or soil conditioner corresponding to the identification information of the predetermined sensing item included in the breeding and cultivation condition data 412 in the start-up process that it received. In addition, the control unit 105 determines the addition time (addition amount) corresponding to the difference value included in the breeding and cultivation condition data 412. The control unit 105 opens the valve in the water conditioner addition device 226 to which the water conditioner cartridge 227 containing the determined water conditioner is connected, or the valve in the soil conditioner addition device 210 to which the soil conditioner cartridge 211 of the determined soil conditioner is connected, for the determined addition time. As a result, the amount of water quality adjuster required at the time of start-up is added to the tank water 229 in the tank 104, and the amount of soil quality adjuster required at the time of start-up is added to the tank water 229 in the suspended matter diffusion tank section 203 of the plant bed 103 (step S605).

[0061] After that, the user starts raising fish 232 and cultivating plants 215 in the home aquaponics system 100 (step S606).

[0062] When the start-up process is completed, the home aquaponics system 100 moves to the stabilization process. In the stabilization process, automatic processes shown in steps S607 and S608, which do not involve the user, are executed by the control unit 105 and the aquaponics cloud 301. Also, in the stabilization process, manual processes shown in steps S609, S610, and S611, which involve the active involvement of the user, are executed by the user.

[0063] In the automatic process, first, automatic adjustment of water quality and soil quality is performed (step S607). In this automatic adjustment, the control unit 105 collects each sensing value from the water quality sensor group 225 and the soil sensor group 209 described above, and transmits them to the aquaponics cloud 301. Next, the aquaponics cloud 301 receives and records the sensing value 411. The aquaponics cloud 301 calculates breeding / cultivation condition data 412 based on the sensing value 411 at regular intervals, and transmits it to the control unit 105. Furthermore, based on the received breeding / cultivation condition data 412, the control unit 105 controls the addition of water quality adjuster in the water quality adjuster addition device 226 and the addition of soil quality adjuster in the soil quality adjuster addition device 210.

[0064] The timing of the automatic adjustment in step S607 is, for example, once every two weeks to once a month, which is most practical, but may be shorter than that. The amount of water quality conditioner or soil quality conditioner added and the upper limit of the target value may be set in advance depending on the type of fish 232 or plant 215. In this case, the rearing / cultivation condition data calculation unit 403 in FIG. 4 calculates the rearing / cultivation condition data 412 while preventing the amount of addition from increasing more than necessary. The aquaponics cloud 301 can calculate the growth state score output value B by the regression calculation unit 402 for the sensing value 411 during that period recorded in the sensing value recording unit 401, for example, once every two weeks to once a month, and can determine the growth state based on the calculation, thereby calculating the rearing / cultivation condition data 412.

[0065] In the stabilization step, the aquaponics nitrification cycle stabilizes after about one to two months from start-up. As the automatic adjustment in step S607 progresses, the balance between the fish 232, the nitrifying bacteria in the purification medium 212, and the plants 215 is balanced. Therefore, the user basically does not need to clean the system due to the self-cleaning action of the purification medium 212 through biological filtration.

[0066] In the manual process, feeding the fish 232 (step S609), pruning and thinning the plants 215 (step S610), and harvesting the plants 215 (step S611) are performed manually by the user himself / herself.

[0067] In the feeding process in step S609, the user feeds the fish 232 once or twice a day. The amount of feeding varies depending on the type of fish and its growth state. Fish move in a variety of ways when eating. For this reason, the user must check the growth state of the fish 232. This check may be done directly by visual inspection. Alternatively, this check may be done by transferring images from a web camera (not shown) installed near the aquarium 104 and the control unit 105 to the user's own smartphone or tablet via the Internet 300 (FIG. 3). This process allows the user to determine whether the fish are growing healthily. Then, the user begins to feel attached to the fish and can be continuously involved in raising them without feeling the process of feeding them every day for a long period of time, such as several months to several years, is troublesome. By observing the process in which the fish are growing significantly larger and the small changes in their state every day, the fish will ultimately grow healthier and larger than if they were raised automatically.

[0068] The pruning and thinning process in step S610 is intended to prevent the growth of the plant 215 from scattering and to control the parts that grow and become larger. By the user taking appropriate measures, fruiting and flowering can be achieved stably.

[0069] The harvesting process in step S611 is similar to the pruning and thinning process in step S610 in that the user performs the treatment. In addition, in the harvesting process, the user can enjoy picking fruits and flowers of the plant 215, and picking edible leaves directly. This harvesting process can be easily performed, for example, by taking out the entire plant kit in which the plant 215 and the medium 214 are stored in the planter container 216 from the plant bed 103 in FIG. 2.

[0070] If the treatments in steps S610 and S611 are not performed properly, the balance of the nitrification cycle in aquaponics will be lost. For proper treatment, it is necessary to check and determine the amount of pruning, thinning, and harvesting, the type of picking, and whether the plant 215 is diseased. This check may be performed directly by visual inspection. Alternatively, this check may be performed by transmitting images from a webcam 241 installed above the plant 215 and the control unit 105 to the user's own smartphone or tablet via the Internet 300 (FIG. 3).

[0071] However, it may be difficult for the user to carry out the above-mentioned confirmation and assessment process by himself / herself. In such a case, the image of the plant 215 captured by the web camera 241 may be transferred to the expert support network server 302 via the control unit 105 and the Internet 300, and then transferred from there to the expert terminal 303 connected to the Internet 300. The aquaponics expert can check the image showing the growth state of the plant 215 cultivated in the user's home aquaponics system 100 on the expert terminal 303 operated by himself / herself. Then, the expert can send advice information on the growth state via the Internet 300 (and the expert support network server 302) by video conference or text mail. The advice information is received by the control unit 105 and displayed on the display 106. The user can appropriately carry out the pruning / thinning process in step S610 and the harvesting process in step S611 by himself / herself by referring to this advice information. As a result, users can improve their skills in raising and cultivating animals without losing the fun of those activities.

[0072] After removing the plant kit to be harvested, in which the plant 215 and the medium 214 are stored in the planter container 216, from the plant bed 103 by the harvesting step in step S611, the user can carry out the seedling planting step shown in steps S614 and S615.

[0073] In step S614, the user can place a new plant kit, in which a seedling of a new plant 215 is planted in new medium 214 spread in a new planter container 216, in the space in the plant bed 103 vacated by the harvest in step S611.

[0074] Next, in step S615, the user operates the control unit 105 (FIG. 2) to access the aquaponics cloud 301 (FIG. 3) from the homepage of the manufacturer that provides the home aquaponics system 100. Then, the user downloads the rearing and cultivation condition data 412 corresponding to the new plant kit installed in step S614 from the aquaponics cloud 301 to the control unit 105. This downloading process is necessary when the user replaces and harvests many plant kits in step S614. When the harvest is small-scale, this downloading process is unnecessary. The control unit 105 determines the type of soil conditioner corresponding to the identification information of the predetermined sensing item included in the received new rearing and cultivation condition data 412. In addition, the control unit 105 determines the addition time (addition amount) corresponding to the difference value included in the rearing and cultivation condition data 412. The control unit 105 opens the valve in the soil conditioner adding device 210 to which the soil conditioner cartridge 211 of the determined soil conditioner is connected for the determined addition time. As a result, new soil conditioner is added to the tank water 229 in the suspended matter diffusion tank section 203 of the plant bed 103. After that, the system returns from the seedling planting process to the stabilization process described above.

[0075] Similar to the seedling planting process described above, the user can carry out the fish changing process shown in steps S612 and S613 at any time.

[0076] In step S612, the user can add new fry to the aquarium 104.

[0077] Next, in step S613, the user operates the control unit 105 (FIG. 2) to access the aquaponics cloud 301 (FIG. 3) from the homepage of the manufacturer that provides the home aquaponics system 100. Then, the user downloads the breeding and cultivation condition data 412 corresponding to the new fish put into the aquarium 104 in step S612 from the aquaponics cloud 301 to the control unit 105. This downloading process is necessary when the type of the new fish put into the aquarium 104 is significantly different from the type of the fish being raised in the aquarium 104. When the types of the fish are not very different, this downloading process is unnecessary. The control unit 105 determines the type of water quality regulator corresponding to the identification information of the predetermined sensing item included in the received new breeding and cultivation condition data 412. In addition, the control unit 105 determines the addition time (addition amount) corresponding to the difference value included in the breeding and cultivation condition data 412. The control unit 105 opens the valve in the water conditioner adding device 226 to which the water conditioner cartridge 227 of the determined water conditioner is connected for the determined addition time. As a result, new water conditioner is added to the aquarium water 229 in the aquarium 104. Thereafter, the system returns from the fish changing process to the stabilization process described above.

[0078] According to the present embodiment described above, the process of feeding the fish 232 in the aquaculture section 220 and the process of pruning, thinning, and harvesting the plants 215 in the hydroponic cultivation section 200 are left as tasks for the user. Other tasks, such as updating the breeding and cultivation conditions (adjusting the water quality and soil quality) based on the results of sensing by the water quality sensor group 225 and the soil quality sensor group 209, are automated by regression calculations using principal component analysis, machine learning, etc. This makes it possible to realize a semi-automatic home aquaponics system 100 that allows the user to continue to be interested in the creatures being bred and cultivated and to work on them with peace of mind without abandoning them. [Explanation of symbols]

[0079] 100 Aquaponics System 101 Case 102 Lighting and Air Conditioning Department 103 Plant Bed 104 Aquarium 105 Control Unit 106 Display 200 Hydroponic Cultivation Department 201 Cultivation Department 202 Septic tank section 203 Floating matter diffusion tank 204 Floating matter diffusion net 205 Aquarium water supply pipe 206 Intermittent drainage device 207 Physical Filter 208 Intermittent drainage pipe 209 Soil Sensor Group 210 Soil conditioner adding device 211 Soil conditioner cartridge 212 Purification media 213 Water Supply / Root Isolation Sheet 214 Culture medium 215 Plants 220 Aquaculture Department 221 Circulation Pump 222 Air supply pump 223 Air supply pipe 224 Heater 225 Water Quality Sensors 226 Water quality conditioner adding device 227 Water Conditioner Cartridge 228 Aquarium Top Lid 229 Aquarium water 230 Water surface 231 Air 232 Aquatic Life 240 LED lights 241 Webcams 242 Blower 250, 251, 252, 253, 254, 255, 256 Electrical wiring 300 Internet 301 Aquaponics Cloud (Computer System) 302 Expert Support Network Server (Computer System) 303 Expert Terminal 400 Sensing value receiver 401 Sensing value recording unit 402 Regression Calculation Unit 403 Breeding and Cultivation Condition Data Calculation Section 404 Breeding and cultivation condition data transmission unit 411 Sensing Value 412 Breeding and cultivation condition data 500 Multiple Regression Models 501 Principal component analysis processing execution unit 502, 512 Teacher sensing value 510 Regression NN Model 511 Regression NN model learning part 513 Teacher score output value A regression analysis model matrix B. Growth status score X Input Matrix

Claims

1. An aquaculture / hydroponic cultivation system in which water or a solution is circulated in a system having an aquaculture section and a hydroponic cultivation section, aquatic organisms are raised in the aquaculture section, and plants are cultivated in the hydroponic cultivation section, The water quality of the water or solution in the aquarium in the aquaculture section; At least one of the electrical conductivity and hydrogen ion concentration of the water or solution of the culture medium of the plant bed in the hydroponic cultivation section; A sensing unit that senses the a control unit that calculates breeding and cultivation condition data for improving the growing conditions of the aquatic organisms and the plants based on the results of the sensing; and an aquatic breeding / hydroponic cultivation system comprising: a breeding / cultivation condition update unit that updates the breeding conditions in the aquatic breeding unit and the cultivation conditions in the hydroponic cultivation unit based on the breeding / cultivation condition data calculated by the control unit.

2. The control unit is a regression calculation unit that calculates the results of the sensing using a regression model calculated by performing regression analysis on many sensing results, thereby outputting predicted values ​​of the growth conditions of the aquatic organisms and the plants, and discriminating whether the growth conditions are good or bad based on the predicted values; and a breeding / cultivation condition data calculation unit that calculates the breeding / cultivation condition data for improving the growth condition when the regression calculation unit determines that the growth condition is poor.

3. the regression calculation unit calculates the results of the sensing using a multiple regression model expressed as a weighted sum of principal components calculated by performing a principal component analysis process on a large number of sensing values, and outputs a predicted value of the growth state; 3. The aquatic rearing / hydroponic cultivation system according to claim 2, wherein for each of the predetermined sensing items, among the sensing items which are the types of the sensing results as explanatory variables used to calculate each of the principal components, the value of a weighting coefficient when expanded into the multiple regression model is equal to or greater than a predetermined threshold value, the rearing / cultivation condition data calculation unit calculates a difference value between the sensing value input to the multiple regression model when the regression calculation unit determines that the growth condition is poor and a sensing value calculated in advance when the growth condition is good, and outputs the difference value together with identification information of the predetermined sensing item as the rearing / cultivation condition data.

4. The regression calculation unit calculates the result of the sensing using a regression neural network model calculated by executing a learning process on a large number of data sets of teacher sensing values ​​and teacher growth states, and outputs a predicted value of the growth state; 3. The aquatic rearing / hydroponic cultivation system according to claim 2, wherein, for each of the predetermined sensing items, among the sensing items which are types of the sensing results input to the regression neural network model when the regression calculation unit determines that the growth condition is poor, a sum of weight coefficient values ​​for each neuron on the reverse path obtained by tracing a reverse path from a neuron in an output layer to a neuron in an input layer in the regression neural network model is equal to or greater than a predetermined threshold, the rearing / cultivation condition data calculation unit calculates a difference value between the sensing value input to the regression neural network model when the regression calculation unit determines that the growth condition is poor and a sensing value which is calculated in advance when the growth condition is good, and outputs the difference value together with identification information of the predetermined sensing item as the rearing / cultivation condition data.

5. The sensing unit is A water quality sensor group for sensing water quality of one or more first number of sensing items of the water or solution in the aquarium in the aquatic rearing section; A sensor group for sensing a second number of sensing items, which is one or more of an electrical conductivity and a hydrogen ion concentration of the water or solution of the culture medium of the plant bed in the hydroponic cultivation section; the breeding / cultivation condition update unit includes a water quality conditioner adding unit that adds a third type of water quality conditioner to the water or solution of the aquarium in the aquatic breeding unit in an amount not greater than the first number corresponding to the breeding / cultivation condition data, and an adjuster adding unit that adds a fourth type of adjuster to the medium of the plant bed in the hydroponic cultivation unit in an amount not greater than the second number corresponding to the breeding / cultivation condition data, the control unit instructs the water quality conditioner addition unit and the adjuster addition unit to add the water quality conditioner and the adjuster of one of the third or fourth types corresponding to the identification information of the predetermined sensing item included in the breeding / cultivation condition data in an amount corresponding to the difference value included in the breeding / cultivation condition data; 5. The aquaculture / hydroponic cultivation system according to claim 3, wherein the regulator adjusts a component corresponding to the electrical conductivity or hydrogen ion concentration of the water or solution of the culture medium of the plant bed.

6. The aquatic rearing / hydroponic cultivation system according to claim 5, wherein the water quality conditioner addition unit and the conditioner addition unit each hold the first number or less of types of water quality conditioners and the second number or less of types of conditioners filled in separate cartridges for each type.

7. The control unit is a control device that is installed integrally with the aquatic rearing unit and the hydroponic cultivation unit, acquires the results of the sensing in the sensing unit, transmits them to the Internet, and instructs the rearing / cultivation condition data received from the Internet to the rearing / cultivation condition update unit; and a cloud computing system connected to the Internet, which receives the sensing results transmitted from the control device, calculates breeding and cultivation condition data for improving the growth conditions of the aquatic organisms and the plants based on the received sensing results, and transmits the calculated breeding and cultivation condition data to the control device.

8. The device further includes a camera unit for capturing an image of the growth state of the aquatic organism or the plant, and a display for displaying information, 8. The aquaculture / hydroponic cultivation system according to any one of claims 1 to 7, wherein the control unit transmits the image captured by the camera unit via the Internet to a terminal device of an expert connected to the Internet, receives advice information transmitted by the expert on the terminal device in response to receiving the image regarding feeding in the aquaculture section or pruning, thinning or harvesting of the plants in the hydroponic cultivation section, and displays the advice information on the display.

9. 1. An aquaculture / hydroponic cultivation method for circulating water or a solution in a system having an aquaculture section and a hydroponic cultivation section, for cultivating aquatic organisms in the aquaculture section and cultivating plants in the hydroponic cultivation section, comprising: The water quality of the water or solution in the aquarium in the aquaculture section; At least one of the electrical conductivity and hydrogen ion concentration of the water or solution of the culture medium of the plant bed in the hydroponic cultivation section; Sensing the determining a growth state of the aquatic organism and the plant based on the result of the sensing, and when the growth state is determined to be poor, calculating rearing / cultivation condition data for improving the growth state; and updating the breeding conditions in the aquatic breeding section and the cultivation conditions in the hydroponic cultivation section based on the calculated breeding / cultivation condition data.

10. A computer controls a system for circulating water or a solution in a system having an aquatic breeding section and a hydroponic cultivation section, breeding aquatic organisms in the aquatic breeding section, and cultivating plants in the hydroponic cultivation section, The water quality of the water or solution in the aquarium in the aquaculture section; At least one of the electrical conductivity and hydrogen ion concentration of the water or solution of the culture medium of the plant bed in the hydroponic cultivation section; determining a growth state of the aquatic organisms and the plants based on an output of a sensing unit that senses the aquatic organisms and the plants; A step of calculating rearing / cultivation condition data for improving the growth condition when the growth condition is determined to be poor; and updating the breeding conditions in the aquatic breeding section and the cultivation conditions in the hydroponic cultivation section based on the calculated breeding / cultivation condition data.

11. A home aquaculture / hydroponic cultivation device comprising an aquaculture section for cultivating aquatic organisms, a hydroponic cultivation section for cultivating plants, and a housing for supporting the aquaculture section and the hydroponic cultivation section, and circulating water or a solution between the aquaculture section and the hydroponic cultivation section, The water quality of the water or solution in the aquarium in the aquaculture section; At least one of the electrical conductivity and hydrogen ion concentration of the water or solution of the culture medium of the plant bed in the hydroponic cultivation section; A sensing unit that senses the A breeding / cultivation condition update unit that updates the breeding conditions in the aquatic breeding unit and the cultivation conditions in the hydroponic cultivation unit, An aquatic breeding / hydroponic cultivation device in which the breeding / cultivation condition update unit updates the breeding conditions and the cultivation conditions based on breeding / cultivation condition data calculated from the results of the sensing to improve the breeding conditions of the aquatic organisms and the growth conditions of the plants.

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