Training device and information processing device

Abstract

To make it possible to precisely and efficiently acquire information on the growth of an organism.SOLUTION: A growth device 100 includes a monitoring system 10 that scans the areas around a plurality of organisms 90, cultivated on growth shelves disposed on horizontal planes, to acquire growth information, which pertains to the growth of each of the plurality of organisms 90.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present disclosure relates to a training device and an information processing device. [Background technology]

[0002] Conventionally, there are known techniques for managing the growth of plants and other living organisms (Patent Documents 1 and 2). These techniques monitor information on the growth status and environment of the organism, and control the growth environment of the organism based on this information. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2011-34248 A [Patent Document 2] JP 2015-195786 A Summary of the Invention [Problem to be solved by the invention]

[0004] When managing the cultivation of organisms, it is necessary to obtain detailed information regarding the cultivation conditions and environment of the organisms in order to improve the quality and production efficiency of the organisms produced by cultivation.

[0005] However, in the conventional configuration, there is still room for improvement in terms of obtaining information related to the cultivation of living organisms precisely and efficiently.

[0006] An object of the present invention is to provide a growing device and an information processing device that are capable of acquiring information related to the growing of organisms more precisely and efficiently. [Means for solving the problem]

[0007] In some embodiments, the cultivation device is equipped with a monitoring system that scans the vicinity of multiple organisms cultivated on cultivation shelves arranged on a horizontal surface and acquires cultivation information that is information regarding the cultivation of each of the multiple organisms.

[0008] In this way, the cultivation device scans the vicinity of multiple organisms arranged on a horizontal plane to obtain cultivation information for each organism, making it possible to obtain information regarding the cultivation of organisms more precisely and efficiently.

[0009] In one embodiment of the cultivation device, the monitoring system includes a detection device that detects the cultivation information, a drive unit that moves the detection device horizontally, and a control unit that controls the detection device and the drive unit to move the detection device horizontally to detect the cultivation information, thereby acquiring the cultivation information for each of the multiple organisms.

[0010] In this way, the growth device detects the growth information by moving the detection device that detects the growth information horizontally, so that the growth information of multiple organisms arranged on a horizontal plane can be efficiently obtained.

[0011] In one embodiment of the cultivation device, the monitoring system includes a plurality of detection devices as the detection devices for detecting the cultivation information, the driving unit moves the plurality of detection devices arranged along a first horizontal direction in a second horizontal direction, and the control unit controls the plurality of detection devices and the driving unit to move the plurality of detection devices in the second horizontal direction to detect the cultivation information, thereby acquiring the cultivation information of each of the plurality of organisms.

[0012] In this way, the cultivation device detects cultivation information of organisms by moving multiple detection devices arranged along a first direction in a second direction, so that cultivation information of multiple organisms arranged on a horizontal plane can be efficiently obtained.

[0013] In one embodiment of the growth device, the monitoring system includes, as the detection device, at least one situation sensor that detects information indicating the growth status of the organism as the first growth information, and at least one environment sensor that detects information indicating the growth environment of the organism as the second growth information. Therefore, the growth device can obtain detailed information regarding the growth status and environment of the organism.

[0014] In one embodiment of the growing device, the control unit controls the height of the environmental sensor in accordance with the growth points of the organisms, thereby enabling the growing device to obtain detailed information about the environment near the growth points that is closely related to the growth of the organisms.

[0015] In one embodiment, the cultivation device further includes a cultivation shelf for cultivating the plurality of organisms, the cultivation shelf arranging the plurality of organisms in a lattice pattern, and therefore the cultivation device can arrange the plurality of organisms in a high density manner, thereby increasing the yield of organisms per unit area.

[0016] In one embodiment, the cultivation device includes a monitoring system provided for each of a plurality of cultivation shelves arranged in a vertical direction. Therefore, the cultivation device can increase the yield of organisms by using the plurality of cultivation shelves.

[0017] According to some embodiments, the information processing device receives the cultivation information indicating the cultivation environment of the organisms from the cultivation device, and displays an image of the cultivation information on a display device in a map form. Thus, a user can easily recognize the cultivation information on the organisms by referring to the image displayed on the display device. Effect of the Invention

[0018] According to one embodiment of the present disclosure, information regarding the cultivation of living things can be obtained more precisely and efficiently. [Brief description of the drawings]

[0019] [Figure 1] FIG. 1 is a diagram illustrating a configuration example of a cultivation system according to an embodiment of the present disclosure. [Diagram 2] FIG. 2 is a perspective view showing a configuration example of the cultivation apparatus of FIG. 1. [Diagram 3] FIG. 2 is a front view showing a configuration example of the culture device of FIG. 1. [Figure 4] FIG. 3 is a top view of the cultivation panel and monitoring system of FIG. 2. [Diagram 5] FIG. 3 is a perspective view of the cultivation panel and monitoring system of FIG. 2. [Figure 6] FIG. 3 is a perspective view of the monitoring system of FIG. 2. [Figure 7] 2 is a block diagram showing an example of a hardware configuration of the analysis device of FIG. 1. [Figure 8] 2 is a block diagram showing an example of a functional configuration of the analysis device of FIG. 1. [Figure 9] 2 is a flowchart showing an example of an operation procedure of an analysis process executed by the analysis device of FIG. 1; [Figure 10] FIG. 13 is a diagram showing an example of a display of a physiological disorder occurrence status. [Figure 11] FIG. 13 is a diagram illustrating an example of a heat map display of environmental data. [Figure 12] FIG. 1 is a diagram illustrating an example of a data set. [Figure 13] FIG. 1 is a diagram illustrating an example of optimal environmental conditions. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0020] <Comparative Example> The configurations of Patent Documents 1 and 2 will be described below as comparative examples.

[0021] Patent Document 1 describes a method for detecting the production status of living organisms using a production status detection means including a sensor, a camera, and a tag, and generating production plan correction information according to the detection result. In the configuration of Patent Document 1, the tag and the sensor are linked to the cultivation bed. The camera is installed on the ceiling or wall of the organism cultivation room.

[0022] However, if sensors are linked to the cultivation beds as in the configuration of Patent Document 1, a large number of sensors are required, the number of which corresponds to the number of cultivation beds. Also, if the camera is fixed to the ceiling or wall, the range that can be photographed is limited, making it difficult to grasp the overall production situation.

[0023] Patent Document 2 describes a cultivation system including a cultivation container capable of accommodating a medium for cultivating plants, a cultivation shelf having multiple shelves on which the cultivation containers are placed, a light source for irradiating light onto the upper surface of the shelves, a transport device for transporting the cultivation containers, and an inspection unit for inspecting the plants. The inspection unit includes a camera, a sensor for detecting that a cultivation tray has been placed, and an excitation light source that is a light source that emits light of a predetermined wavelength (e.g., 450 nm or nearby) that excites chlorophyll in the plants. This configuration calculates an evaluation index for the plant based on the results of the plant inspection by the inspection unit. This evaluation index is used for observing the progress of the plant, and ultimately for selecting or transplanting the plant.

[0024] However, in the configuration of Patent Document 2, data is acquired after the cultivation tray is transported to the inspection unit, but the environmental conditions such as temperature and humidity are different between the cultivation location of the plants and the inside of the inspection unit, so the configuration of Patent Document 2 cannot acquire precise information about the environment in which the plants are actually grown.

[0025] Thus, in the configuration of the comparative example, there was room for improvement in terms of obtaining information related to the cultivation of living organisms precisely and efficiently.

[0026] <Embodiment> Hereinafter, an embodiment of the present disclosure will be described with reference to the drawings. In each drawing, parts having the same configuration or function are denoted by the same reference numerals. In the description of this embodiment, duplicated descriptions of the same parts may be omitted or simplified as appropriate.

[0027] The cultivation system according to the present embodiment scans the vicinity of the organisms to be monitored arranged on a plane and acquires information on the cultivation of the organisms using detection devices such as cameras and environmental sensors. Therefore, according to the present embodiment, it is possible to acquire information on the cultivation of the organisms more precisely and efficiently.

[0028] (Cultivation system) 1 is a diagram showing an example of the configuration of a cultivation system 1 according to an embodiment of the present disclosure. The cultivation system 1 includes a cultivation device 100 and an analysis device 200.

[0029] The cultivation apparatus 100 as a growing apparatus according to this embodiment is an apparatus for growing living things. In this embodiment, an example will be described in which the living things to be grown are lettuce, but the living things to be grown are not limited to plants and may be animals (e.g., fertilized eggs, single-celled organisms, etc.). The cultivation apparatus 100 includes a monitoring system 10. The components of the cultivation apparatus 100 other than the monitoring system 10 will be described later. The monitoring system 10 is an apparatus that monitors the growing status and environment of the lettuce to be grown, and acquires growing information, which is information related to the growing.

[0030] The analysis device 200 is a device that analyzes the development information acquired by the monitoring system 10. The analysis device 200 may be configured with an information processing device such as a personal computer (PC), a work station (WS), or a server device on the cloud. The monitoring system 10 and the analysis device 200 are connected by a communication line capable of transmitting information to each other. The communication line connecting the monitoring system 10 and the analysis device 200 may include an external network such as the Internet.

[0031] (Cultivation equipment) Fig. 2 is a perspective view showing a configuration example of the cultivation apparatus 100 in Fig. 1. The cultivation apparatus 100 includes a monitoring system 10, a cultivation shelf 20, an LED (Light Emitting Diode) 30, a cultivation bed 40, and a cultivation panel 50. In Fig. 2, the X direction and the Y direction indicate first and second horizontal directions perpendicular to each other, and the Z direction indicates the vertical direction (height direction).

[0032] The cultivation shelf 20 is a shelf that houses lettuce 90, which is a living organism to be cultivated. The cultivation shelf 20 may include a support 21 (parallel to the Z axis in FIG. 2), a cross member 22 (parallel to the Y axis), and a cross member 23 (parallel to the Z axis). The cultivation shelf 20 cultivates a plurality of lettuces 90 arranged on a horizontal plane. In the example of FIG. 2, the cultivation shelf 20 includes a plurality of shelves, and by cultivating lettuce 90 on each shelf, it is possible to increase the yield of lettuce 90 in a limited space. Note that the cultivation shelf 20 may be configured to cultivate lettuce 90 using a single shelf. A monitoring system 10, an LED 30, and a cultivation bed 40 are installed on the cultivation shelf 20.

[0033] The LEDs 30 are light sources that supply light to the lettuce 90. As shown in Fig. 2, in this embodiment, a plurality of linear LEDs 30 parallel to the Y axis are installed parallel to each other on each shelf of the cultivation shelf 20. This makes it possible to supply uniform light to each lettuce 90 on the cultivation shelf 20. Note that the cultivation device 100 may include a light source based on a principle different from that of an LED, such as an incandescent light bulb, as long as it is possible to supply light to the lettuce 90.

[0034] The cultivation bed 40 is a container that contains a nutrient solution or a medium for growing the lettuce 90. A cultivation panel 50 is placed on the cultivation bed 40, and the lettuce 90 is grown on the cultivation panel 50.

[0035] Fig. 3 is a front view showing a configuration example of the cultivation apparatus 100 in Fig. 1. The monitoring system 10 includes a plurality of cameras 11, a plurality of environmental sensors 12, a data logger 13, a motor 14, a shaft 15, a nutrient solution sensor 16, a cable 17, members 181 and 182, and a guide member 183.

[0036] The monitoring system 10 scans the vicinity of the multiple lettuces 90 to obtain cultivation information relating to the cultivation of each of the multiple lettuces 90. In the example of FIG. 3, the monitoring system 10 includes multiple detection devices (cameras 11, environmental sensors 12) that are provided along a direction parallel to the X-axis (first horizontal direction) and detect the cultivation information. The monitoring system 10 moves these multiple detection devices in a second horizontal direction (direction parallel to the Y-axis in FIG. 2) of the cultivation shelf 20 by driving a motor 14 described later, to obtain the cultivation information of the lettuce 90. The cultivation device 100 is capable of disposing the camera 11 and the environmental sensor 12 directly above each lettuce 90 plant in accordance with the movement of the monitoring system 10.

[0037] The camera 11 is a photographing device that photographs the lettuce 90 to obtain image data. The camera 11 functions as a situation sensor that detects the first growth information indicating the growth state of the living organism. The camera 11 arranged directly above the lettuce 90 can photograph the tip burn in the center of the lettuce 90. Tip burn is a physiological disorder that occurs in plants to be cultivated. In cultivation in a plant factory, it is a challenge to reduce tip burn. Tip burn that occurs on the outer leaves of the lettuce 90 can be peeled off at the time of shipping. On the other hand, tip burn that occurs on the inside of the lettuce 90 is more problematic than tip burn that occurs on the outer leaves because it requires more effort to trim. The camera 11 is installed at a position where a focal distance with the lettuce 90 can be secured and is installed so as not to come into contact with the LED 30. In the example of FIG. 3, the camera 11 is attached to a member 181 that extends horizontally (for example, in the X direction). In this embodiment, the camera 11 is, for example, an RGB (Red / Green / Blue) camera, but instead of this, a camera with a specific wavelength such as a hyperspectral camera or a target spectrum camera may be used. In addition, in the present embodiment, the cultivation apparatus 100 includes the camera 11 as a situation sensor, but the situation sensor is not limited to the camera 11. For example, the cultivation apparatus 100 may include, as a situation sensor, a sensor that detects the size and shape of the lettuce 90, or a temperature sensor that measures the temperature of the lettuce 90 (for example, the temperature of the surface or inside of the lettuce 90).

[0038] The environmental sensor 12 is a sensor that detects environmental data (second growth information) that is information related to the growth environment of the lettuce 90. As an example, the environmental sensor 12 can measure temperature (for example, the temperature around the lettuce 90), humidity, and carbon dioxide concentration as environmental data, but the environmental sensor 12 may measure information other than these as environmental data. The monitoring system 10 according to this embodiment is capable of adjusting the height (Z direction) of the environmental sensor 12 under the control of a control unit 19 included in a data logger 13 described later. In the example of FIG. 3, the environmental sensor 12 is attached to a member 182 that extends horizontally (for example, in the X direction). The member 182 is guided by a guide member 183, and the distance between the member 182 and the member 181 can be corrected. The control unit 19 may adjust the height of the environmental sensor 12 by correcting the distance between the member 182 and the member 181 by the power of a motor or the like. The monitoring system 10 is capable of measuring the environment near the growth point of each lettuce 90 by adjusting the height of the environmental sensor 12 in accordance with the growth of the lettuce 90 and acquiring environmental data. In this embodiment, an example will be described in which the monitoring system 10 is capable of adjusting the height of the environmental sensor 12, but the height of a situation sensor including the camera 11 may also be adjustable. For example, the control unit 19 may adjust the height of a situation sensor such as the camera 11 by correcting the height of the member 181 using the power of a motor or the like.

[0039] The nutrient solution sensor 16 is a sensor that detects information about the nutrient solution in the cultivation bed 40. For example, the nutrient solution sensor 16 may measure the temperature, EC (fertilizer concentration), and pH of the nutrient solution as nutrient solution data. In this embodiment, the monitoring system 10 includes one or more nutrient solution sensors 16 for each cultivation panel 50, but instead, a nutrient solution sensor 16 may be included for each lettuce 90.

[0040] The monitoring system 10 may simultaneously acquire image data, environmental data, and nutrient solution data using the camera 11, the environmental sensor 12, and the nutrient solution sensor 16, and record the data together with time information (time stamp) in the memory of the data logger 13. Alternatively, the monitoring system 10 may move the camera 11 and the environmental sensor 12 in the Y direction while causing the environmental sensor 12 to acquire environmental data.

[0041] Fig. 4 is a top view of the cultivation panel 50 and the monitoring system 10 in Fig. 2. Fig. 5 is a perspective view of the cultivation panel 50 and the monitoring system 10 in Fig. 2. The cultivation panel 50 is inserted into the cultivation bed 40 and has a plurality of planting holes 51 that determine positions (planting positions) for growing the lettuce 90. The plurality of planting holes 51 are arranged in a lattice pattern so that the cultivation density of the lettuce 90 is uniform. Therefore, the cultivation device 100 can increase the yield of the lettuce 90 per unit area of ​​the cultivation panel 50.

[0042] The monitoring system 10 includes a plurality of cameras 11 and environmental sensors 12 arranged along the X direction. In the monitoring system 10, the cameras 11 and the environmental sensors 12 are first arranged directly above the planting holes 51 arranged in a grid pattern. For each planting position, the cameras 11 and the environmental sensors 12 remain stationary at the planting position for a period longer than the response time of the environmental sensors 12 to acquire image data and environmental data.

[0043] When the monitoring system 10 acquires image data and environmental data at a certain planting position, it drives the motor 14 as a drive unit to move the camera 11 and the environmental sensor 12 along the shaft 15. The shaft 15 is provided parallel to the Y axis, and the camera 11 and the environmental sensor 12 move in a direction parallel to the Y axis. As a result, the camera 11 and the environmental sensor 12 move to the next planting position specified by the adjacent planting hole 51. In this way, the monitoring system 10 detects growth information (image data, environmental data, etc.) for each lettuce 90 whose position is defined by the planting hole 51, using the camera 11 and the environmental sensor 12. It is to be noted that the motor 14 is driven based on power supplied via the cable 17. It is to be noted that the cable 17 may include not only a cable for supplying power to the motor 14, but also a cable for controlling the operation of each device including the data logger 13 and the camera 11 and supplying power, etc.

[0044] Fig. 6 is a perspective view of the monitoring system 10 of Fig. 2. The image data, environmental data, and nutrient solution data acquired by the camera 11, the environmental sensor 12, and the nutrient solution sensor 16 are recorded in a storage device (memory) provided in the data logger 13. Since the nutrient solution sensor 16 does not move between shelves, the data may be stored in a data logger separate from the data logger 13. The data recorded in the data logger 13 is transmitted to and stored in the analysis device 200.

[0045] The data logger 13 includes a control unit 19 that controls the operation of the monitoring system 10. The control unit 19 includes a general-purpose or dedicated processor and memory. For example, the control unit 19 may control a plurality of detection devices (e.g., the camera 11, the environmental sensor 12) and a drive unit (motor 14) to move the plurality of detection devices in a direction parallel to the Y axis to detect the growth information, thereby acquiring the growth information of each of the plurality of lettuces 90. Alternatively, the control unit 19 may control the height of the environmental sensor 12 in accordance with the growth points of the plurality of lettuces 90. For example, the control unit 19 may detect the growth point of the lettuce 90 using a sensor such as the camera 11, and correct the height of the member 182 in accordance with the height of the growth point, thereby bringing the environmental sensor 12 closer to the growth point of the lettuce 90. The image data, environmental data, and nutrient solution data acquired by the camera 11, the environmental sensor 12, and the nutrient solution sensor 16 may be temporarily recorded in the memory of the control unit 19. The data logger 13 may record the growth information of the organism together with time information (time stamp) at which the growth information was acquired. By recording the cultivation information together with the time information, the cultivation device 100 can acquire cultivation information that can be analyzed in a chronological order.

[0046] As described above, the cultivation apparatus 100 as a cultivation apparatus includes the monitoring system 10 that scans the vicinity of a plurality of lettuces 90 cultivated on the cultivation shelf 20 arranged on a horizontal plane to acquire cultivation information, which is information on the cultivation of each of the plurality of lettuces 90. In this manner, the cultivation apparatus 100 scans the vicinity of a plurality of lettuces 90 arranged on a horizontal plane to acquire cultivation information for each of the lettuces 90. Therefore, even if a large number of lettuces 90 are densely cultivated on the cultivation shelf 20 and there is almost no extra space in the cultivation apparatus 100, the cultivation apparatus 100 can acquire information on the cultivation of each organism (lettuce 90) more precisely and efficiently. Note that if a detection device such as a camera 11 and an environmental sensor 12 is provided for each lettuce 90, the cost of the system increases by the number of detection devices and the wiring becomes complicated. In contrast, in this embodiment, by scanning the vicinity of a plurality of lettuces 90 arranged on a horizontal plane to acquire cultivation information for each lettuce 90, precise cultivation information for each lettuce 90 can be acquired easily and at low cost. Therefore, according to the cultivation apparatus 100, it is possible to increase the yield of organisms per unit volume and to cultivate high-quality organisms.

[0047] The monitoring system 10 may also include at least one of the camera 11 or the environmental sensor 12 as a detection device, a motor 14 as a drive unit, and a control unit 19. The camera 11 or the environmental sensor 12 may detect growth information of the lettuce 90. The motor 14 may move the camera 11 or the environmental sensor 12 horizontally. The control unit 19 may control the camera 11 or the environmental sensor 12 and the motor 14 to horizontally move the camera 11 or the environmental sensor 12 to detect the growth information, thereby acquiring the growth information of each of the multiple lettuces 90. In this way, the monitoring system 10 moves the detection device horizontally to detect the growth information of the lettuce 90, and therefore can efficiently measure the growth information of the multiple lettuces 90 arranged on a horizontal plane.

[0048] The monitoring system 10 may also include a plurality of detection devices (camera 11, environmental sensor 12, etc.). The camera 11 and the environmental sensor 12 may be provided along a first horizontal direction (e.g., X direction) and detect the growth information of the lettuce 90. The motor 14 may move the camera 11 and the environmental sensor 12 in a second horizontal direction (e.g., Y direction). The control unit 19 may obtain the growth information of each of the plurality of lettuces 90 by controlling the camera 11, the environmental sensor 12, and the motor 14 and moving the camera 11 and the environmental sensor 12 in the second horizontal direction to detect the growth information. In this way, the monitoring system 10 moves a plurality of detection devices provided along the first direction in the second direction to detect the growth information of the lettuce 90, and therefore can efficiently measure the growth information of the plurality of lettuces 90 arranged on a horizontal plane. In this embodiment, an example has been described in which the first direction in which the multiple cameras 11 and environmental sensors 12 are provided and the second direction in which the cameras 11 and environmental sensors 12 are moved are perpendicular to each other, but the angle between the first direction and the second direction may be any angle.

[0049] In addition, the method of the cultivation device 100 scanning the vicinity of the plurality of lettuces 90 arranged on a horizontal plane to obtain the cultivation information of each lettuce 90 is not limited to the method of detecting the cultivation information of the lettuce 90 by moving a plurality of detection devices arranged along the first direction in the second direction. For example, the cultivation device 100 may include detection devices such as a camera 11 and an environmental sensor 12 that can be moved in the first direction, and such detection devices may be moved in the first direction and the second direction to measure the cultivation information of each lettuce 90. In this way, by making the detection devices movable in the X direction as well, the cultivation information of each lettuce 90 can be obtained precisely and efficiently with a small number of detection devices. In addition, in the present embodiment, a configuration example in which one monitoring system 10 is provided for each horizontal plane has been described, but the cultivation device 100 may include a plurality of monitoring systems 10 on the same horizontal plane. In addition, the monitoring system 10 may be movable in the vertical direction as well, and the same monitoring system 10 may obtain the cultivation information of organisms on the cultivation shelves 20 on different levels.

[0050] The monitoring system 10 may further include, as the multiple detection devices, at least one situation sensor that detects information indicating the growth status of the organism as first growth information, and at least one environment sensor that detects information indicating the growth environment of the organism as second growth information. Thus, the monitoring system 10 can obtain precise information regarding the growth status and environment of the organism.

[0051] The control unit 19 may also control the height of the environmental sensor 12 in accordance with the growth points of multiple organisms. Therefore, the cultivation device 100 can obtain information about the environment near the growth points that are closely related to the growth of organisms, and perform precise production management. The control unit 19 may also control the height of the camera 11 in addition to the environmental sensor 12.

[0052] In addition, the cultivation shelf 20 as a growing shelf arranges a plurality of lettuces 90 in a lattice pattern. Therefore, the cultivation device 100 can arrange the lettuce 90 at a high density, and can increase the yield of the lettuce 90 per unit area.

[0053] The cultivation device 100 may also include a plurality of cultivation shelves 20 arranged in a vertical direction, and a monitoring system 10 provided for each of the plurality of cultivation shelves 20. Therefore, according to the cultivation device 100, the yield of organisms can be increased by the plurality of cultivation shelves 20.

[0054] (Analysis device) Fig. 7 is a block diagram showing an example of a hardware configuration of analysis device 200 of Fig. 1. As shown in Fig. 7, analysis device 200 includes control unit 201, storage unit 202, communication unit 203, input unit 204, and output unit 205.

[0055] The control unit 201 includes one or more processors. In one embodiment, the "processor" is a general-purpose processor or a dedicated processor specialized for a specific process, but is not limited thereto. The control unit 201 is communicably connected to each component of the analysis device 200 and controls the operation of the entire analysis device 200.

[0056] The storage unit 202 includes any storage module including a hard disk drive (HDD), a solid state drive (SSD), a read-only memory (ROM), and a random access memory (RAM). The storage unit 202 may function as, for example, a main storage device, an auxiliary storage device, or a cache memory. The storage unit 202 stores any information used in the operation of the analysis device 200. For example, the storage unit 202 may store a system program, an application program, cultivation information received from the cultivation device 100 (for example, image data, environmental data, nutrient solution data, etc.), and various information received by the communication unit 203, etc.

[0057] The communication unit 203 includes any communication module that can communicate with other devices such as the cultivation device 100 by any communication technology. The communication unit 203 may further include a communication control module for controlling communication with other devices, and a storage module for storing communication data such as identification information required for communication with other devices.

[0058] The input unit 204 includes one or more input interfaces that receive an input operation from a user and acquire input information based on the user's operation. For example, the input unit 204 is a physical key or a pointing device, but is not limited to these. Furthermore, the analysis device 200 does not necessarily have to include the input unit 204.

[0059] The output unit 205 includes one or more output interfaces that output information to a user and notify the user. For example, the output unit 205 is a display that outputs information as an image, or a speaker that outputs information as sound, but is not limited to these. At least one of the input unit 204 and the output unit 205 may be configured integrally with the analysis device 200, or may be provided separately. Furthermore, the analysis device 200 does not need to include the output unit 205.

[0060] The functions of analysis device 200 can be realized by executing a computer program (program) according to this embodiment on a processor included in control unit 201. That is, the functions of analysis device 200 can be realized by software. The computer program causes a computer to execute the processes of steps included in the operation of analysis device 200, thereby causing the computer to realize functions corresponding to the processes of each step. That is, the computer program is a program for causing a computer to function as analysis device 200 according to this embodiment.

[0061] A part or all of the functions of analysis device 200 may be realized by a dedicated circuit included in control unit 201. That is, a part or all of the functions of analysis device 200 may be realized by hardware. Furthermore, analysis device 200 may be realized by a single information processing device, or may be realized by cooperation of multiple information processing devices.

[0062] Fig. 8 is a block diagram showing an example of a functional configuration of analysis device 200 in Fig. 1. As shown in Fig. 8, analysis device 200 includes functional elements of a storage unit 210, a data output unit 220, an image processing unit 230, a model creating / updating unit 240, and an environmental condition output unit 250.

[0063] The storage unit 210 stores cultivation information such as environmental data 211, nutrient solution data 212, and image data 213 received from the cultivation device 100.

[0064] The image processing unit 230 includes a detection model 231 which is model data for detecting a physiological disorder (tip burn) from the image data 213. The image processing unit 230 analyzes each image data 213 based on the detection model 231 to detect the presence or absence of a physiological disorder. When a physiological disorder is detected, the image processing unit 230 labels the occurrence position of the physiological disorder for the image data 213. For example, the image processing unit 230 may perform labeling by adding metadata indicating the occurrence position of the physiological disorder to the image data 213.

[0065] The data output unit 220 outputs cultivation information including the environmental data 211, the nutrient solution data 212, and the image data 213 to the user. The data output unit 220 has a user interface 221 that allows the user to recognize the cultivation information. The user interface 221 may be realized by a display of the output unit 205 or the like. For example, the data output unit 220 may display the image data 213 in which the location of occurrence of a physiological disorder is labeled by the image processing unit 230, as well as the environmental data 211, the nutrient solution data 212, and the like on the display of the output unit 205.

[0066] The model creating and updating unit 240 inputs image data 213 in which the locations of occurrence of physiological disorders are labeled, environmental data 211, and nutrient solution data 212. Based on these input data, the model creating and updating unit 240 creates and updates an estimation model 241 for estimating optimal environmental conditions for efficient growth of high-quality lettuce 90.

[0067] The environmental condition output unit 250 outputs the optimal environmental conditions for growing the lettuce 90 estimated using the estimation model 241 to the user. The environmental condition output unit 250 includes a user interface 251 for the user to recognize the optimal environmental conditions. The user interface 251 may be realized by a display of the output unit 205 or the like. For example, the environmental condition output unit 250 may display an image showing the optimal environmental conditions on the display of the output unit 205. In addition, the environmental condition output unit 250 reflects the estimated optimal environmental conditions in the growing environment of the lettuce 90 through the control interface 252. The cultivation device 100 includes a temperature regulator, a humidity regulator, a carbon dioxide controller, and the like for controlling the growing environment such as the temperature, humidity, and carbon dioxide concentration in each cultivation shelf 20. The control interface 252 controls these devices to make the growing environment of the lettuce 90 in the cultivation device 100 optimal.

[0068] (Analysis processing) Fig. 9 is a flowchart showing an example of an operation procedure of the analysis process executed by the analysis device 200 of Fig. 1. The operation of the analysis device 200 described with reference to Fig. 9 may correspond to at least a part of the analysis method according to this embodiment. Each step of Fig. 9 is executed under the control of the control unit 201 of the analysis device 200. The following process starts in a state where the cultivation information is transmitted from the cultivation device 100 to the analysis device 200 and each data is stored in the storage unit 210.

[0069] In step S1, the control unit 201 refers to the storage unit 210 and acquires cultivation information including environmental data 211, nutrient solution data 212, and image data 213.

[0070] In step S2, the control unit 201 detects the presence or absence of a physiological disorder (tip burn) for each of the image data 213 using the detection model 231. The detection model 231 for the physiological disorder may be created in advance using any learning method. For example, the detection model 231 may be created using known deep learning. When a physiological disorder is detected in the image data 213, the control unit 201 labels the occurrence position of the physiological disorder for the image data 213. The control unit 201 calculates the occurrence degree of the physiological disorder from the area of ​​the labeled physiological disorder. The occurrence degree of the physiological disorder is an index indicating the seriousness of the physiological disorder that has occurred. When the physiological disorder is more serious, such as when the area of ​​the physiological disorder is large, the occurrence degree of the physiological disorder indicates a larger value.

[0071] In step S3, the control unit 201 determines whether or not to update the optimal environmental conditions based on the occurrence degree of the physiological disorder calculated in step S2. The optimal environmental conditions may be defined by a numerical range specified by upper and lower limit values ​​for the temperature, humidity, carbon dioxide concentration, and nutrient solution data that are optimal for growing the lettuce 90, for example. The control unit 201 may determine to update the optimal environmental conditions when the occurrence degree of the physiological disorder calculated in step S2 is equal to or greater than a predetermined threshold, and may determine not to update the optimal environmental conditions when the occurrence degree is less than the threshold. If the control unit 201 determines to update the optimal environmental conditions (YES in step S3), the process proceeds to step S5, and if not (NO in step S3), the process proceeds to step S4.

[0072] In step S4, the control unit 201 outputs the image data 213 including information on the occurrence status of physiological disorders, the environmental data 211, and the nutrient solution data 212 as monitoring data through the user interface 221. For example, the control unit 201 displays the monitoring data on the display of the output unit 205. Fig. 10 is a diagram showing an example of a display of the occurrence status of physiological disorders. Fig. 11 is a diagram showing an example of a heat map display of environmental data.

[0073] The control unit 201 may display information such as the number of occurrences of physiological disorders, the degree of occurrence of physiological disorders, the number of environmental data items exceeding the upper and lower limits of the optimal environmental conditions, the number of nutrient solution data items exceeding the upper and lower limits of the optimal environmental conditions, and the history of the time when the upper and lower limits were exceeded, on the user interface 221 (display). The control unit 201 may display the occurrence status of physiological disorders in a tip burn tab. The control unit 201 may display a heat map of the environmental data in a heat map tab. The control unit 201 may display a time series graph of the environmental data 211 and the nutrient solution data 212 in a graph tab. FIG. 10 shows an example of displaying the location of the lettuce 90 where a physiological disorder has occurred, a labeling image showing the position where the physiological disorder has occurred in the lettuce 90, and the degree of occurrence. FIG. 11 shows an example of displaying a heat map of the environmental data. When the value of the environmental data deviates from the upper and lower limits of the optimal environmental conditions, the control unit 201 may highlight the position where the environmental data deviates from the optimal environmental conditions with a conspicuous color such as red or a mark. Furthermore, the control unit 201 may highlight the positions of lettuce 90 that are growing particularly well and the environmental data thereof. This allows the user to easily recognize the positions where the environmental data deviates from the optimal environmental conditions and the positions of well-grown lettuce 90 and the environmental data thereof.

[0074] In step S5, the control unit 201 performs outlier processing and missing value processing on the environmental data 211 and nutrient solution data 212 acquired in S1. Fig. 12 is a diagram showing an example of a dataset. As shown in Fig. 12, the dataset may include the occurrence degree of physiological disorder, the environmental data 211, and the nutrient solution data. Furthermore, the dataset may include integrated values ​​and differential values ​​of the data as feature quantities of these data.

[0075] In step S6, the control unit 201 generates an estimation model 241 of optimal environmental conditions based on the data set acquired in step S5. The control unit 201 clusters the time series of the data set preprocessed in step S5. As a result, clusters of the data set are formed based on the similarity of the feature quantities. The control unit 201 may weight the data set based on the occurrence degree of the physiological disorder when clustering. When clustering with weighting, the environmental data and the nutrient solution data are clustered according to the occurrence degree of the physiological disorder. The occurrence degree of the physiological disorder can be represented by the formed cluster. The formed cluster can be represented by the environmental data and the nutrient solution data. The control unit 201 may define a Bayesian network model structure that defines such clusters. The control unit 201 may perform causal inference using a data set corresponding to the defined Bayesian network model structure to construct the estimation model 241 of optimal environmental conditions. The control unit 201 may perform sensitivity analysis using the estimation model 241 of optimal environmental conditions to estimate environmental factors that have a large effect on suppressing the occurrence of the physiological disorder.

[0076] In step S7, the control unit 201 estimates the environmental factors that have a large effect on suppressing the occurrence of physiological disorders estimated in step S6 as optimal environmental conditions. Then, the control unit 201 displays the estimated optimal environmental conditions in a list on the user interface 251. Fig. 13 is a diagram showing an example of optimal environmental conditions. In the example of Fig. 13, the optimal environmental conditions are shown to be a temperature of 20 to 22 degrees, a humidity of 70 to 80%, a carbon dioxide concentration of 800 to 1100 ppm, a nutrient solution temperature of 19 to 23 degrees, an EC of 1.2 to 1.4, and a pH of 5 to 6.

[0077] In step S8, the control unit 201 changes the target value of the environmental control through the control interface 252 based on the optimal environmental conditions estimated in step S7. As a result, the cultivation device 100 controls the environmental conditions according to the target value. After completing the process of step S8, the control unit 201 ends the process of the flowchart.

[0078] As described above, the control unit 201 of the analysis device 200 acquires the cultivation information indicating the cultivation environment of the organism received from the cultivation device 100 as a cultivation device, and displays the acquired cultivation information in a map-like image on the display device (such as the display of the output unit 205). When a plurality of cultivation shelves 20 are provided as in the cultivation device 100 of FIG. 2, the shelf intervals are narrow, so that it is difficult to visually check whether or not physiological disorders have occurred in the lettuce 90 located near the center of the cultivation panel 50 during cultivation, and the occurrence of physiological disorders can only be known when the cultivation panel 50 is pulled out at the time of harvesting. In contrast, according to the analysis device 200 of this embodiment, an image showing the cultivation information in a map-like form is displayed, so that it is possible to monitor the occurrence of physiological disorders in real time during cultivation. In addition, the analysis device 200 visualizes the position where the environmental conditions are deviated by displaying the collected environmental data in a heat map form. Therefore, the user can easily grasp the location where the environmental conditions are deviated.

[0079] In addition, the analysis device 200 can automatically detect physiological disorders using deep learning, thereby reducing the amount of work required to visually detect the occurrence of physiological disorders in a large amount of lettuce 90.

[0080] Furthermore, by collecting environmental data for each of the 90 lettuce plants, the analysis device 200 can visualize the differences in the environment on the same cultivation shelf 20, allowing the user to easily recognize spots that deviate from the environmental conditions.

[0081] Even in the same cultivation panel 50, there may be lettuces 90 that develop physiological disorders and lettuces 90 that do not. The cultivation device 100 collects image data and environmental data for each lettuce 90 at the same time. Therefore, the analysis device 200 can clarify and quantify the cultivation environmental conditions that suppress the occurrence of physiological disorders with a higher degree of accuracy from the image data of the process in which physiological disorders occur and the environmental data at the same time as the image data. Therefore, the cultivation system 1 can maintain an appropriate cultivation environment. Furthermore, the analysis device 200 estimates the optimal environmental conditions from the cultivation information such as the collected image data, environmental data, and nutrient solution data, and presents the optimal environmental conditions. Therefore, the user can easily recognize the optimal environmental conditions.

[0082] In addition, by simultaneously operating the camera 11, the environmental sensor 12, and the nutrient solution sensor 16 during crop cultivation, the analysis device 200 is able to collect image data, environmental data, and nutrient solution data at the same location and at the same time.

[0083] Furthermore, the analysis device 200 diagnoses the occurrence of physiological disorders of crops at every data acquisition interval based on the image data collected by the cultivation device 100, and labels the image data by adding information indicating the occurrence of physiological disorders. The analysis device 200 derives optimal environmental conditions based on such image data and the environmental data collected by the cultivation device 100. Therefore, the cultivation system 1 can effectively support the cultivation of organisms such as lettuce 90.

[0084] In this embodiment, light is supplied to the lettuce 90 by the LED 30. However, light may be supplied to the lettuce 90 by sunlight.

[0085] As described above, the cultivation system 1 operates the camera 11 and the environmental sensor 12 simultaneously during crop cultivation, and collects image data and environmental data at the same place and at the same time. Furthermore, the cultivation system 1 clarifies and quantifies the cultivation environment conditions that suppress the occurrence of physiological disorders with a higher degree of accuracy from the image data of the process in which physiological disorders of crops occur and the environmental data at that time. Therefore, the cultivation system 1 can contribute to the management of maintaining a more appropriate cultivation environment.

[0086] Additional notes regarding example embodiments of the present disclosure are provided below. [1] A cultivation device comprising a monitoring system that scans the vicinity of multiple organisms cultivated on cultivation shelves arranged on a horizontal surface and acquires cultivation information relating to the cultivation of each of the multiple organisms. [2] The monitoring system includes: A detection device for detecting the growth information; A drive unit that moves the detection device horizontally; a control unit that controls the detection device and the drive unit to horizontally move the detection device to detect the growth information, thereby acquiring the growth information of each of the plurality of organisms; The cultivation device described in [1] is provided with: [3] The monitoring system includes a plurality of detection devices that detect the growth information as the detection devices, the driving unit moves the plurality of detection devices provided along a first horizontal direction in a second horizontal direction; The control unit controls the plurality of detection devices and the drive unit to move the plurality of detection devices in the second horizontal direction to detect the growth information, thereby acquiring the growth information of each of the plurality of organisms. A growth device as described in [2]. [4] The monitoring system is a cultivation device described in [2] or [3], which comprises, as the detection device, at least one situation sensor that detects information indicating the cultivation status of the organism as the first cultivation information, and at least one environmental sensor that detects information indicating the cultivation environment of the organism as the second cultivation information. [5] The control unit controls the height of the environmental sensor in accordance with the growth points of the multiple organisms. [6] The cultivation shelf further includes a cultivation shelf for cultivating the plurality of organisms, The cultivation shelf arranges the plurality of organisms in a lattice pattern. A cultivation device described in any one of [1] to [5]. [7] A cultivation device described in any one of [1] to [6], comprising a monitoring system provided for each of a plurality of cultivation shelves arranged in a vertical direction. [8] [1] to [7], the cultivation information indicating the cultivation environment of the organism is received from the cultivation device according to any one of the above. Displaying an image showing the acquired cultivation information in a map form on a display device. An information processing device having a control unit.

[0087] The present disclosure is not limited to the above-described embodiments. For example, multiple blocks shown in the block diagram may be integrated, or one block may be divided. Multiple steps shown in the flowchart may be executed in parallel or in a different order depending on the processing capacity of the device executing each step, or as necessary, instead of being executed in chronological order as described. Other modifications are possible without departing from the spirit of the present disclosure. [Explanation of symbols]

[0088] 1. Cultivation System 10. Monitoring System 11 Camera 12 Environmental Sensors 13 Data Logger 14 Motor 15 Shaft 16 Nutrient solution sensor 17 Cable 181 Components 182 Materials 183 Guiding member 19 Control section 20 cultivation rack 21 Post 22,23 Cross members 30 LED 40 Cultivation Bed 50 Cultivation Panels 51 Planting hole 90 Lettuce (biological) 100 Cultivation equipment 200 Analysis equipment 201 Control section 202 Storage section 203 Communications Department 204 Input section 205 Output section 210 Preservation Department 211 Environmental Data 212 Nutrient solution data 213 Image data 220 Data output section 221 User Interface 230 Image Processing Unit 231 Image Processing Unit 240 Model Creation and Update Department 241 Estimation Model 250 Environmental condition output section 251 User Interface 252 Control Interface

Claims

1. A growing device comprising a monitoring system that scans the vicinity of a plurality of organisms grown on a growing shelf arranged on a horizontal surface to acquire growing information that is information regarding the growing of each of the plurality of organisms, The monitoring system includes: At least one status sensor that detects information indicating a growing status of a living organism as the first growing information; At least one environmental sensor that detects information indicating a growing environment of the organism as the second growing information; a drive unit for moving the situation sensor in a horizontal direction and for moving the environmental sensor in a horizontal direction and a vertical direction; a control unit that controls the drive unit, moves the situation sensor and the environment sensor, and detects the first growth information and the second growth information, thereby acquiring the first growth information and the second growth information of each of the plurality of organisms; Equipped with The control unit controls the height of the environmental sensor in accordance with the growth points of the plurality of organisms detected by the situation sensor. Breeding equipment.

2. The drive unit moves the at least one situation sensor and the at least one environmental sensor arranged along a first horizontal direction in a second horizontal direction. The cultivation device according to claim 1.

3. The cultivation shelf further includes a cultivation shelf for cultivating the plurality of organisms, The cultivation shelf arranges the plurality of organisms in a lattice pattern. The cultivation device according to claim 1.

4. The growing apparatus according to claim 1 , further comprising the monitoring system provided for each of a plurality of the growing shelves arranged in a vertical direction.

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