JP6695585B1 - Aquaculture support system, lifting device, feeding device, aquaculture method, and aquaculture support program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an aquatic animal aquaculture support system capable of easily acquiring information on aquatic animals such as shrimp in aquaculture ponds. SOLUTION: The aquatic animal aquaculture support system 1 includes a captured image acquisition unit 151 for acquiring a captured image obtained by capturing an image of a sampler 20 raised from an aquatic aquaculture pond with a camera 30, and a captured image acquisition. An image analysis unit 155 that analyzes the captured image acquired by the unit 151, and an aquatic animal information acquisition unit 157 that acquires aquatic animal information regarding aquatic animals in the aquaculture pond based on the analysis result of the image analysis unit 155. . [Selection diagram] Figure 2

Description

  The present invention relates to an aquatic aquaculture support system, a lifting device, a feeding device, an aquatic aquaculture method, and an aquatic aquaculture support program capable of acquiring information on aquatic animals in aquaculture ponds.

  Heretofore, various methods have been proposed for culturing aquatic animals such as shrimp in aquaculture ponds and feeding devices used for aquaculture. For example, Patent Document 1 below discloses a configuration of a feeding device that feeds by mixing feed in a water supply path to a culture tank.

  By the way, when aquatic animals are cultivated, it is necessary to appropriately obtain information such as the state of the aquatic animals growing in the aquaculture pond and appropriately adjust the conditions for aquaculture accordingly. Specifically, for example, it is necessary to accurately determine the feeding amount. Insufficient feeding reduces the growth rate of aquatic animals. On the other hand, if the feeding amount is excessive, the quality of water in the aquaculture pond deteriorates, the risk of disease increases, and the mortality rate of aquatic animals increases. When determining the feeding amount, it is necessary to understand the aquatic animal biomass in the aquaculture pond. However, in general, the transparency of aquaculture ponds is low, and it is difficult to grasp the biomass of aquatic animals.

  Sampling using a sampling device such as a colander may be performed in order to obtain information on aquatic animals in aquaculture ponds such as biomass. Sampling is performed, for example, by placing a sardine in the aquaculture pond and then raising the sardine to investigate the number and condition of the aquatic animals remaining in the shale.

JP, 2018-108075, A

  However, such sampling is time-consuming.

  That is, conventionally, when aquaculture of aquatic animals is performed, it is difficult to obtain information on aquatic animals in the aquaculture pond.

  The aquatic aquaculture support system according to the first aspect of the present invention is a captured image acquisition unit that acquires a captured image that is a still image or a moving image obtained by capturing an image of a sampling device raised from an aquatic aquaculture pond with a camera. And an image analysis unit that analyzes the captured image acquired by the captured image acquisition unit, and an aquatic animal information acquisition unit that acquires aquatic animal information regarding aquatic animals in the aquaculture pond based on the analysis result of the image analysis unit. It is a system for supporting aquaculture of aquatic animals.

  With this configuration, it is possible to easily obtain information on aquatic animals in the aquaculture pond.

  Further, the aquatic animal aquaculture support system of the second invention is different from the first invention in that the image analysis unit detects a region including an object in a captured image, and based on information stored in advance. An aquatic aquaculture support system for determining whether or not an aquatic animal is included in the detected area.

  With this configuration, it is possible to highly accurately determine the aquatic animals included in the captured image.

  Further, the aquatic animal aquaculture support system of the third invention is different from the first or second invention in that the aquatic animal information is information on the number of aquatic animals, information on the weight of aquatic animals, and the size of aquatic animals. It is an aquatic aquaculture support system including at least one of information regarding the aquatic animal's intestine color and / or size, information regarding aquatic animal feed digestibility, and information regarding aquatic animal abnormalities.

  With this configuration, it is possible to easily obtain at least one of the information on the number, weight, size, abnormality, and appetite of aquatic animals in the aquaculture pond.

  Further, the aquatic animal aquaculture support system of the fourth aspect of the present invention is the same as any of the first to third aspects of the invention, further comprising an elevating device that lowers the harvester and soaks it in the aquaculture pond and then raises the harvester from the aquaculture pond. It is a system for supporting aquaculture of aquatic animals.

  With such a configuration, it is possible to more easily obtain the information about the aquatic animals in the aquaculture pond, including the operation regarding the raising and lowering of the sampling device.

  Further, the aquatic animal aquaculture support system of the fifth aspect of the invention is different from the fourth aspect of the invention in that the captured image acquisition unit is imaged at a timing corresponding to the timing when the sampling device is lifted from the aquaculture pond by the lifting device. It is an aquatic animal aquaculture support system that acquires captured images.

  With such a configuration, it is possible to automatically obtain information on aquatic animals in the aquaculture pond according to the raising and lowering of the sampling device.

  Further, the aquatic aquaculture support system of the sixth invention is the aquatic aquaculture support system according to the fourth or fifth invention, wherein the lifting device raises and lowers the sampling device according to a predetermined schedule.

  With this configuration, it is possible to automatically raise and lower the sampler and obtain information about aquatic animals.

  In addition, the aquatic animal aquaculture support system of the seventh invention further comprises a weight information acquisition unit for acquiring the weight information regarding the weight of the extractor lifted from the aquaculture pond, in addition to any one of the first to sixth inventions. Provided, the aquatic animal information acquisition unit acquires aquatic animal information regarding the biomass of aquatic animals in the aquaculture pond obtained based on the image analysis result of the image analysis unit and the weight information acquired by the weight information acquisition unit, It is an aquatic animal culture support system.

  With this configuration, it is possible to obtain highly accurate information on aquatic animals in the aquaculture pond.

  Further, the aquatic aquaculture support system according to the eighth aspect of the present invention is the aquatic aquaculture support system according to any one of the first to seventh aspects, in which the sampling device has a pattern that can be photographed by a camera. Is.

  With this configuration, it is possible to obtain highly accurate information on aquatic animals in the aquaculture pond.

  Further, the aquatic animal aquaculture support system of the ninth aspect of the invention is directed to the invention of any of the first to eighth aspects, in which the sampling device immersed in the aquaculture pond is photographed by a camera above the water level of the aquaculture pond. Immersion image acquisition unit that acquires the in-immersion image obtained by doing, position information acquisition unit that acquires the position information regarding the position of the sampler in the vertical direction, and the in-immersion image acquired by the in-immersion image acquisition unit And a turbidity detection unit for detecting the turbidity of the aquaculture pond based on the position information acquired by the position information acquisition unit.

  With this configuration, the turbidity of the aquaculture pond can be easily detected.

  Further, the aquatic animal aquaculture support system of the tenth invention further comprises an environmental sensor for acquiring an environmental measurement value related to the environment of the aquaculture pond, in addition to any one of the first to ninth inventions, The aquatic animal aquaculture support system is attached to a harvester or a member attached to the harvester so that it can be immersed in the aquaculture pond together with the harvester.

  With such a configuration, it is possible to easily obtain environmental measurement values regarding the environment of the aquaculture pond as the sampler is immersed in the aquaculture pond.

  Further, the aquatic animal aquaculture support system of the eleventh invention is different from the tenth invention in that the aquatic animal information acquisition unit has an aquatic animal in the aquaculture pond obtained based on the environmental measurement values acquired by the environmental sensor. It is an aquatic animal aquaculture support system that acquires aquatic animal information related to animal biomass.

  With this configuration, it is possible to obtain highly accurate information on aquatic animals in the aquaculture pond.

  In addition, the aquatic animal aquaculture support system of the twelfth invention further comprises a feeding device for supplying feed to the aquaculture pond for any one of the first to eleventh inventions, and the aquatic animal information acquisition unit, Based on the feed timing of the feed by the feeding device and the shooting timing of the shot image analyzed by the image analysis unit, information on the excess or deficiency of the feed amount, information on at least one of the color and size of the intestine of the aquatic animal, and the feed It is an aquatic animal aquaculture support system that acquires aquatic animal information including at least one piece of information relating to the digestibility of.

  With such a configuration, it is possible to obtain at least one of information regarding the excess or deficiency of the feeding amount of the aquatic animals in the aquaculture pond, information regarding at least one of the color and size of the intestines of the aquatic animals, and information regarding the digestibility of the feed. it can.

  Further, the aquatic animal aquaculture support system of the thirteenth invention is obtained by the aquatic animal information acquisition unit and the feeding device for supplying the feed to the aquaculture pond with respect to any one of the first to eleventh inventions. Based on the aquatic animal information, further comprises a feeding condition setting unit for setting a feeding condition for feeding the feed by the feeding device, wherein the feeding device supplies the feed based on the feeding condition set by the feeding condition setting unit. It is a system for supporting aquaculture of aquatic animals.

  With such a configuration, the feed can be supplied under the feeding conditions according to the state of the aquatic animals in the aquaculture pond.

  Further, the aquatic animal aquaculture support system of the fourteenth aspect of the invention, in contrast to the thirteenth aspect of the invention, the feeding conditions include at least one of a feed timing and a feed amount, It is an aquatic animal culture support system.

  With such a configuration, it is possible to set the feed timing or the feed amount of the feed according to the state of the aquatic animal in the aquaculture pond.

  Further, the aquatic animal aquaculture support system of the fifteenth invention further comprises a reference value storage unit for storing a predetermined reference value for the growth of the aquatic animal with respect to the thirteenth or fourteenth invention, The feeding condition setting unit sets the feeding condition based on the comparison result between the reference value stored in the reference value storage unit and the aquatic animal information acquired by the aquatic animal information acquisition unit, an aquatic animal culture support system. Is.

  With this configuration, it is possible to supply the feed under the feeding conditions according to the growth state of the aquatic animals in the aquaculture pond.

  Further, the aquatic animal aquaculture support system of the sixteenth invention further comprises a feed tank for storing the feed to be fed by the feeding device, in addition to the invention of any of the twelfth to fifteenth aspects, and the camera is It is an aquatic aquaculture support system that is located below or inside the feed tank.

  With such a configuration, it is possible to reduce the influence of the shooting environment such as weather and lighting on the shot image, and obtain a more accurate analysis result of the shot image.

  In addition, the aquatic animal aquaculture support system of the seventeenth invention is the aquatic animal information acquisition unit according to any one of the first to sixteenth inventions, wherein the aquatic animal information acquisition unit analyzes the amount of feed supplied to the aquaculture pond and image analysis It is an aquatic animal culture support system that acquires aquatic animal information based on the analysis results of the department.

  With this configuration, it is possible to obtain highly accurate information on aquatic animals in the aquaculture pond.

  In addition, the aquatic animal aquaculture support system of the eighteenth invention, the aquatic animal information acquired by the aquatic animal information acquisition unit is, for any one of the first to seventeenth inventions, the aquatic animal growth days information and Based on the aquatic animal information storage section that is stored in association with the information related to the growing environment and the past aquatic animal information and the current aquatic animal information stored in the aquatic animal information storage section, It is an aquatic animal culture support system that determines the growth status of aquatic animals.

  With this configuration, it is possible to appropriately determine the growth status of aquatic animals in the aquaculture pond.

  Further, the lifting device of the nineteenth invention is a lifting device used in the above-described aquatic animal aquaculture support system, and raises and lowers a holding member that holds the sampling device and the sampling device held by the holding member. And an elevating mechanism for driving the elevating mechanism.

  With such a configuration, the sampling device can be easily moved up and down by the elevating device.

  Further, a feeding device of the present invention is a feeding device used in the aquatic aquaculture support system, a feed tank for storing feed, and a weighing unit for weighing the feed taken out from the feed tank. The feeding device includes a feeding unit that feeds the feed weighed by the weighing unit to the aquaculture pond.

  With this configuration, the feed device can easily supply the feed to the aquaculture pond.

  The aquaculture method for aquatic animals according to the twenty-first aspect of the present invention is the first step of taking a picture of the sampler taken from the aquatic animal pond with a camera from above, and the picture obtained by the first step. Aquatic, including a second step of image analysis of the image, and a third step of acquiring aquatic animal information regarding aquatic animals in the aquaculture pond based on the image analysis result of the captured image obtained by the second step It is a method of farming animals.

  By this method, information on aquatic animals in the aquaculture pond can be easily obtained.

  According to the aquatic animal culture support system, lifting device, feeding device, aquatic animal culture method, and aquatic animal culture support program according to the present invention, it is possible to easily obtain information on aquatic animals in aquaculture ponds.

Schematic diagram of the shrimp aquaculture support system according to the first embodiment of the present invention Block diagram of the shrimp aquaculture support system 1st figure which shows the operation | movement at the time of sampling of the lifting / lowering device of the same shrimp culture support system The 2nd figure which shows operation at the time of sampling of the lifting device of the same shrimp culture support system Diagram showing an example of shrimp sampled by the shrimp aquaculture support system Diagram showing a colander used in the shrimp aquaculture support system The figure which shows typically an example of a part of photography image handled by the same shrimp culture support system. The figure which shows typically another example of a part of the picked-up image handled by the same shrimp culture support system. The figure which shows an example of the picked-up image handled by the same shrimp culture support system. Flowchart showing the overall flow of operations performed by the shrimp culture support system Flowchart explaining feeding performed by the shrimp aquaculture support system Flowchart explaining the sampling performed in the shrimp culture support system Flowchart explaining shrimp information analysis processing performed by the shrimp aquaculture support system Flowchart explaining the reflection process performed in the shrimp aquaculture support system Flowchart explaining the turbidity detection process performed by the shrimp aquaculture support system The figure which shows the structure of the lifting / lowering apparatus which concerns on Embodiment 2. The figure which shows the structure of the lifting / lowering apparatus which concerns on Embodiment 3. The figure which shows the structure of the lifting / lowering apparatus which concerns on Embodiment 4. Diagram showing the operation of the lifting device during sampling The figure explaining the raising / lowering apparatus which concerns on the example of a changed completely different type of Embodiment 4. Overview of the computer system in the above embodiment Block diagram of the computer system

  Hereinafter, embodiments of an aquatic aquaculture support system and the like will be described with reference to the drawings. Note that, in the embodiments, the components denoted by the same reference numerals perform the same operation, and thus the repeated description may be omitted.

  The terms used in the following description are defined as follows. Note that the meanings of these terms are not limited to these, and include those shown in the following description.

  Aquatic animals refer to animals that live in water, such as crustaceans, shellfish, and fish. A shrimp refers to a so-called crustacean belonging to the suborder of the prawn order Kuruma prawn, but is not limited thereto. The following embodiments relate to, for example, a shrimp aquaculture support system used in aquaculture of vannamei shrimp and the like, but the aquaculture target shrimp is not limited to this. Also, other aquatic animals may be targeted for cultivation.

  An aquaculture pond is an area where water (whether fresh water, seawater, or brackish water) for aquaculture of aquatic animals is provided. The environment of the aquaculture pond may be different depending on the type of aquatic animal to be cultured. The aquaculture pond may be artificially created or may be naturally formed. The aquaculture pond may be a large aquarium filled with water, whether it is outdoors or indoors. A section formed by partitioning a part of the area where water exists may be called a culture pond.

  The sampler is an instrument used for sampling aquatic animals in aquaculture ponds during aquatic animal culture. As the collector, for example, a colander can be used. The colander has a net-like portion or a porous portion, and may be configured to allow a liquid to pass therethrough and leave a solid substance inside when pulled up from water. Here, the mesh portion may be made of cloth. That is, in the following embodiments, a colander configured so as to scoop out aquaculture animals such as shrimp and other solid matter to be taken out from the aquaculture pond can be widely used. Further, as the sampling device, a container such as a bucket formed of a member that hardly allows liquid to pass may be used.

  The captured image is, for example, a still image or a moving image captured by a camera, but is not limited to this. For example, it may be a still image extracted from a moving image captured by a camera.

  The reference value for the growth of aquatic animals such as shrimp is, for example, for shrimp, DOC (Day of Culture; the number of days of growth after juvenile shrimp is put in a culture pond) and standard ABW (Average Body Weight; average of shrimp). (Body weight). The reference values may be summarized in a table, or may be a growth curve represented by, for example, a mathematical formula.

  The number of days of growth information is, for example, DOC or the number of days that have passed after hatching.

  The information on the growing environment is, for example, information obtained by an environment sensor and information on the weather (specifically, for example, temperature, wind speed, weather, precipitation, insolation, etc.).

  The environment of the aquaculture pond is, for example, a concept including, but not limited to, water temperature, oxygen, ammonia, nitrate, nitrite, carbon dioxide concentration, and other matters relating to water quality.

  Information acquisition is the reception of information input from input devices such as keyboards, mice, and touch panels, the reception of information transmitted from other devices via wired or wireless communication lines, optical disks, magnetic disks, and semiconductors. The concept includes obtaining information by receiving information read from a recording medium such as a memory.

  Outputting information means displaying on a display, projection using a projector, printing with a printer, sound output, transmission to an external device, storage on a recording medium, processing to another processing device or other program, etc. It is a concept that includes delivery of results. Specifically, it includes, for example, enabling the information to be displayed on a web page, transmitting the information as an electronic mail, outputting the information for printing, and the like.

  (Embodiment 1)

  In the present embodiment, the aquatic animal aquaculture support system performs image analysis of the captured image obtained by capturing the image of the sampler taken from the aquatic aquaculture pond with a camera, and based on the image analysis result of the captured image. Obtain aquatic animal information about aquatic animals in the aquaculture pond. The aquatic animal information includes, for example, information on aquatic animal biomass, information on aquatic animal abnormalities, and information on aquatic animal's appetite (for example, information on the speed of consuming feed, and information on excess and deficiency of feeding amount). It is one that includes. For example, the aquatic animal aquaculture support system is a shrimp aquaculture support system used for shrimp aquaculture. The shrimp aquaculture support system 1 performs image analysis on a photographed image obtained by photographing the colander 20 raised from the shrimp aquaculture pond with the camera 30, and based on the image analysis result of the photographed image, as aquatic animal information, Get shrimp information about shrimp in aquaculture ponds. Shrimp information can be, for example, information about shrimp biomass (eg, shrimp biomass, shrimp population information, shrimp weight information, shrimp size information, etc.), shrimp abnormality information, or shrimp information. Appetite information (for example, the speed of consuming feed, information about excess or deficiency of feed amount, information on at least one of the color and size of shrimp intestine, information on digestibility of feed (food), etc.) It is one that includes.

  Note that, for example, the following may be performed. That is, in acquiring the shrimp information, various information can be used in addition to the image analysis result. In addition, in the present embodiment, the shrimp aquaculture support system 1 may have an elevating device 40 that lowers the colander 20 and soaks it in the aquaculture pond, and then raises the colander 20 from the aquaculture pond. In this case, for example, image analysis of a captured image captured at a timing corresponding to the timing at which the colander 20 is lifted from the aquaculture pond may be performed. In addition, in the present embodiment, the shrimp aquaculture support system 1 may have a feeding device that supplies feed to the aquaculture pond. In this case, for example, the shrimp information may be acquired based on the feed supply timing and the shooting timing of the captured image, or the feeding device may set the condition regarding the feed supply based on the acquired shrimp information. .

  In the present embodiment, a shrimp aquaculture support system 1 including the information processing device 100 will be described.

  FIG. 1 is a schematic diagram of a shrimp aquaculture support system 1 according to Embodiment 1 of the present invention.

  In the following figures, the symbol S represents cultured shrimp, the symbol FF represents the feed to be supplied, and the symbol FR represents the residual food (the food that was supplied but remains in the water without being eaten by the shrimp). Are schematically shown.

  As shown in FIG. 1, in the present embodiment, the shrimp aquaculture support system 1 includes a remote side (so-called ASP side) information processing device 100 and a user terminal device 910, and a local side (shrimp farm side). And each device. On the local side, for example, a colander 20, a camera 30, a lifting device 40, a feeding device 60, an aeration device 70, an environment sensor 81, a weight sensor 83 and the like are provided. The information processing device 100, the user terminal device 910, and the lifting device 40 on the local side can communicate with each other via a network such as the Internet.

  In addition, in this Embodiment, although the raising / lowering apparatus 40, the feeding apparatus 60, and the aeration apparatus 70 are each connected to networks, such as the internet, it is not restricted to this. For example, only the lifting device 40 may be connected to the network, and the feeding device 60 and the aeration device 70 may be connected to the lifting device 40. Further, a server device may be provided on the local side, and another local device may be connected to the server device. Further, the information processing device 100 and the user terminal device 910 may be provided as one of the devices on the local side, and each device does not distinguish between the local side and the remote side, and the shrimp as described below may be used. It is sufficient that they are connected to each other so that the operation of the aquaculture support system 1 can be performed.

  In addition, in FIG. 1, for example, a tablet-type information terminal device is shown as the user terminal device 910, but the user terminal device 910 is not limited to this, and is, for example, a mobile phone such as a so-called smartphone. It may be an information terminal device, a personal computer (PC) such as a laptop computer, or any other device. A user (user) of the shrimp aquaculture support system 1 can use the shrimp aquaculture support system 1 by using the user terminal device 910.

  The user terminal device 910 is, for example, a general tablet-type information terminal device, and has a display device including a touch panel. The user terminal device 910 is realized by a storage unit that stores various information, programs, and the like, an MPU, a memory, and the like, and a processing unit that performs various processes by executing the programs, the user terminal device 910. Is connected to the network, and has a communication unit for controlling communication with other devices connected to the network.

  In the user terminal device 910, for example, the processing unit executes the program so that the web browser function or the information transmission / reception function such as electronic mail can be caused to function. With such a function, the user of the user terminal device 910 can browse the information received from another device connected to the network, or cause the user terminal device 910 to transmit the information to the other device. can do.

  FIG. 2 is a block diagram of the shrimp aquaculture support system 1.

  First, the schematic configuration of each device on the local side will be described with reference to FIGS. 1 and 2.

  The lifting device 40 has the following components, and can lower the colander 20 from a predetermined standby position to be immersed in the aquaculture pond, or can raise the colander 20 not immersed in the aquaculture pond from the aquaculture pond. ..

  The lifting device 40 includes a lifting mechanism 41, a hanging string (an example of a holding member) 43, a drive unit (an example of a drive unit) 45, a control unit 47, and the like. The control unit 47 has a communication unit 49. A camera 30, an environment sensor 81, and a weight sensor 83 are attached to the lifting device 40.

  In the present embodiment, the elevating device 40 is suspended, for example, on a structure located above the aquaculture pond via the weight sensor 83. Here, the structure may be a ceiling of a building built around the aquaculture pond (in the case of indoor aquaculture), a Yakura beam built in the aquaculture pond (in the case of outdoor aquaculture), aquaculture, etc. It may be a beam-like member located above the pond.

  The hanging string 43 holds the colander 20. The hanging string 43 is, for example, a linear member that suspends the colander 20 from the elevating mechanism 41. In other words, the colander 20 is hung from the elevating mechanism 41 by, for example, the hanging strap 43.

  The elevating mechanism 41 is, for example, a reel on which the hanging string 43 can be wound or unwound. The lifting / lowering device 40 rotates the reel of the lifting / lowering mechanism 41 by the drive unit 45, which is an electric motor, for example, to wind up and down the hanging strap 43 to raise and lower the colander 20.

  The control unit 47 can be usually realized by an MPU, a memory or the like. The processing procedure of the control unit 47 is usually realized by software, and the software is recorded in a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit). In the present embodiment, the control unit 47 controls the operation of the drive unit 45 and the like. That is, the colander 20 moves up and down under the control of the control unit 47.

  In the present embodiment, the lifting device 40 is configured to lower the colander 20 and soak it in the aquaculture pond, and then raise the colander 20 from the aquaculture pond. In the present embodiment, the lifting device 40 raises and lowers the colander 20 according to a predetermined schedule. In the present embodiment, the lifting device 40 is configured to raise and lower the colander 20 according to a command transmitted from the information processing device 100 on a predetermined schedule. The control unit 47 and the like may be configured to autonomously raise and lower the colander 20 according to the schedule information stored in the storage unit provided in the lifting device 40.

  The communication unit 49 connects the elevating device 40 to the network and controls the device to communicate with other devices connected to the network. The communication unit 49 may be configured to perform wireless communication using, for example, wireless LAN or data communication of a mobile phone, or may be configured to perform various wired communication.

  In the present embodiment, the environment sensor 81 is attached to, for example, a member attached to the colander 20. Specifically, the environment sensor 81 is attached to the sling string 43 near the colander 20. That is, the environment sensor 81 is attached so that it can be immersed in the aquaculture pond together with the colander 20. The environment sensor 81 may be attached to the colander 20.

  The environment sensor 81 acquires an environmental measurement value related to the environment of the aquaculture pond. The environment measurement value may be the value itself measured by the environment sensor 81, or may be acquired using a predetermined calculation formula or a predetermined table based on the result of the environment sensor 81 measuring the environment of the aquaculture pond. It may be a value. Examples of the environment sensor 81 include a temperature sensor that outputs water temperature or air temperature as an environmental measurement value, a dissolved oxygen sensor (DO sensor) that outputs dissolved oxygen in the aquaculture pond as an environmental measurement value, and hydrogen in the aquaculture pond. A pH sensor that outputs the ion concentration as an environmental measurement value is provided. It should be noted that the environment sensor 81 may include a sensor that outputs an environmental measurement value related to the environment of the aquaculture pond other than these. Further, among the above, some may not be provided as the environment sensor 81.

  The environment sensor 81 is immersed in the aquaculture pond when the colander 20 is immersed in the aquaculture pond, and can output each environmental measurement value of the aquaculture pond. When the colander 20 is withdrawn from the aquaculture pond, the environmental sensor 81 is also withdrawn from the aquaculture pond. That is, since the environment sensor 81 is immersed in the aquaculture pond only at the time of measurement according to the timing of raising and lowering the colander 20, it is possible to prevent the environment sensor 81 from becoming dirty (adhesion of algae, etc.).

  Here, the weight sensor 83 can output weight information regarding the weight of the colander 20 lifted from the aquaculture pond. For example, the weight sensor 83 obtains, from the measured value of the weight before soaking in the aquaculture pond, the increase in the measured value of the weight after soaking in the aquaculture pond as the weight information of the solid matter such as shrimp remaining in the colander 20. be able to.

  The weight sensor 83 may not be provided, and the weight information is not limited to the above. For example, the control unit 47 may detect the magnitude of the load applied to the drive unit 45 when raising the colander 20 and use it as the weight information. In this case, the control unit 47 may calculate the weight information regarding the weight of the colander 20 based on the magnitude of the load applied to the drive unit 45.

  In the present embodiment, the control unit 47 acquires the environmental measurement value output from the environment sensor 81, the weight information output from the weight sensor 83, and the like. The control unit 47 can transmit the acquired information and the like to the information processing device 100 and the like.

  Further, in the present embodiment, the control unit 47 can detect the position information indicating the vertical position of the colander 20. The position information can be detected, for example, on the basis of the amount of rotation (the amount of extension and the amount of winding of the suspension cord 43) obtained from the elevating mechanism 41 and the drive unit 45. The control unit 47 can transmit the detected position information to the information processing device 100.

  FIG. 3 is a first diagram showing the operation of the elevating device 40 of the shrimp aquaculture support system 1 during sampling. FIG. 4 is a second diagram showing the operation of the lifting device 40 of the shrimp aquaculture support system 1 during sampling.

  As described above, when sampling is performed using the lifting device 40 in the present embodiment, as shown in FIG. 3, the sling string 43 is paid out from the lifting mechanism 41 to lower the colander 20 from the standby position on the water. Immerse the colander 20 in the aquaculture pond. At this time, the environment sensor 81 is also immersed in the aquaculture pond. As a result, the environmental sensor 81 obtains an environmental measurement value related to the environment of the aquaculture pond.

  After that, as shown in FIG. 4, the hanging string 43 is wound up by the elevating mechanism 41 to raise the colander 20 above the water and raise it to a predetermined standby position. Then, in this state, the camera 20 shoots the evil 20 to obtain a taken image. It is preferable that the distance between the camera 30 and the predetermined standby position is constant, but the distance is not limited to this. Further, in the case of obtaining a moving image as a captured image or a plurality of still images in one sampling, the image capturing may be performed while raising the strainer 20. In such a case, the standby position for the colander 20 may not be determined.

  In addition, it is preferable to perform a work of returning the remaining material in the colander 20 to the aquaculture pond again after the photographing after the sampling is completed. This work may be performed by an operator, but it may be automatically performed by providing a mechanism for lowering the colander 20 again and shaking it or returning the colander 20 upside down.

  Returning to FIG. 1 and FIG. 2, the feeding device 60 has the following components and automatically feeds the feed to the aquaculture pond.

  The feeding device 60 includes a feed tank 61, a weighing unit (an example of a weighing unit) 63, a spraying mechanism (an example of a feeding unit) 65, a drive unit 66, a control unit 67, and a feeding condition storage unit 68. is doing. The control unit 67 has a communication unit 69. The feeding device 60 is arranged, for example, above the aquaculture pond, and a feed of a predetermined feeding amount (schematically indicated by a black circle (reference numeral FF) in the figure) is sprayed from the feeding device 60 to the aquaculture pond at each feeding timing. can do.

  The feed tank 61 stores the feed fed by the feeding device 60.

  The weighing unit 63 is a scale that weighs the feed taken out from the feed tank 61. Under the control of the control unit 67, the measuring unit 63 can measure a predetermined amount of feed and take it out from the feed tank 61.

  The sprinkling mechanism 65 supplies the feed, which is weighed by the weighing unit 63 and taken out from the feed tank 61, to the aquaculture pond. The spraying mechanism 65 has, for example, a rotatable arm member. The feeding device 60 is configured so that, for example, while rotating the arm member of the sprinkling mechanism 65 by the drive unit 66 which is an electric motor, the feed is sprinkled from the arm member so that the feed can be evenly distributed to the aquaculture pond. ing. The supply unit for supplying the feed to the aquaculture pond is not limited to such a spraying mechanism 65, and widely known means can be used.

  The feeding condition storage unit 68 stores information about feeding conditions (hereinafter, this information may be simply referred to as feeding conditions). The feeding condition includes at least one of a feed timing and a feed amount. In the present embodiment, the feeding conditions include, for example, both conditions relating to the feed timing of the feed and conditions relating to the feed amount of the feed.

  The feeding condition storage unit 68 is preferably a non-volatile recording medium, but can also be realized by a volatile recording medium. In the present embodiment, as described later, the feeding condition transmitted from the feeding condition setting unit in information processing device 100 is stored (set) in feeding condition storage unit 68. The process of storing the feeding conditions in the feeding condition storage unit 68 does not matter. For example, the feeding condition may be stored in the feeding condition storage unit 68 via a recording medium, and the feeding condition transmitted via a communication line or the like may be stored in the feeding condition storage unit 68. Alternatively, the feeding conditions input via the input device may be stored in the feeding condition storage unit 68.

  The control unit 67 can be usually realized by an MPU, a memory or the like. The processing procedure of the control unit 67 is usually realized by software, and the software is recorded in a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit). The control unit 67 supplies the feed to the aquaculture pond based on the feeding condition stored in the feeding condition storage unit 68.

  The communication unit 69 connects the feeding device 60 to the network and controls the feeding device 60 to communicate with other devices connected to the network. The communication unit 69 may be configured to perform wireless communication using wireless LAN, data communication of a mobile phone, or the like, or may be configured to perform various wired communication.

  In the present embodiment, the control unit 67 records the feeding information (log; for example, information such as the feeding time and the feeding amount) when the feeding is actually performed. The control unit 67 can transmit the recorded feeding information and the like to the information processing device 100 and the like.

  The aeration device 70 has the following components and performs an operation (aeration) of increasing dissolved oxygen in the aquaculture pond.

  The aeration device 70 has, for example, an impeller that hits the water surface of the aquaculture pond, a drive unit 76 that is an electric motor that rotates the impeller, a control unit 77 that controls the operation of the drive unit 76, and the like. The control unit 77 has a communication unit 79. The aeration device 70 performs aeration to generate bubbles in the aquaculture pond by the rotating impeller and increase dissolved oxygen in the aquaculture pond.

  The control unit 77 can be usually realized by an MPU, a memory or the like. The processing procedure of the control unit 77 is usually realized by software, and the software is recorded in a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit). The control unit 77 operates the drive unit 76 to execute aeration or stops the drive unit 76 to stop aeration based on the command transmitted from the information processing apparatus 100.

  The communication unit 79 connects the aeration device 70 to the network and controls it so that it can communicate with other devices connected to the network. The communication unit 79 may be configured to perform wireless communication using, for example, wireless LAN or data communication of a mobile phone, or may be configured to perform various wired communication.

  The aeration device 70 is not limited to the one having the impeller described above. For example, the dissolved oxygen may be increased by blowing a gas containing oxygen into the aquaculture pond by a pump or the like, or the dissolved oxygen may be increased by replacing a part of the water in the aquaculture pond. May be.

  As shown in FIG. 2, the information processing device 100 includes a storage unit 110, a processing unit 150, an information output unit 170, a communication unit 190, and the like. The information processing device 100 is, for example, a server device.

  The storage unit 110 includes a captured image storage unit 111, a weight information storage unit 113, an environment measurement value storage unit 115, a feeding information storage unit 116, a reference value storage unit 117, a shrimp information storage unit (an example of an aquatic animal information storage unit) 119. Equipped with. The storage unit 110 is preferably a non-volatile recording medium, but can also be realized by a volatile recording medium. Information acquired by each unit of the processing unit 150, which will be described later, is stored in each unit of the storage unit 110, but the process of storing information and the like in each unit of the storage unit 110 is not limited to this. .. For example, information or the like may be stored in the storage unit 110 via a recording medium, or information or the like transmitted via a communication line may be stored in the storage unit 110, Alternatively, information or the like input via the input device may be stored in the storage unit 110.

  The captured image storage unit 111 stores a captured image acquired by the captured image acquisition unit 151, that is, a captured image captured by the camera 30, as described later. The photographed image is stored in association with photographing information such as, for example, the date and time when the photograph was taken and an identifier for identifying the aquaculture pond. Note that such shooting information may be recorded as metadata of a shot image such as so-called Exif.

  Note that, for example, the captured image storage unit 111 may also store the in-immersion image acquired by the in-immersion image acquisition unit 153 as described below.

  The weight information storage unit 113 stores the weight information acquired by the weight information acquisition unit 152, that is, the weight information transmitted from the lifting device 40, as described later.

  The environmental measurement value storage unit 115 stores the environmental measurement value transmitted from the lifting device 40. The environmental measurement value is stored in association with, for example, the date and time of measurement, information such as an identifier that identifies the aquaculture pond, and the like.

  The environment measurement value storage unit 115 may store information about the turbidity detected by the turbidity detection unit 156 as described later.

  The feeding information storage unit 116 stores the feeding information transmitted from the feeding device 60.

  The reference value storage unit 117 stores a predetermined reference value regarding shrimp growth.

  The shrimp information storage unit 119 stores the shrimp information acquired by the shrimp information acquisition unit 157 as described later. The shrimp information is stored, for example, in association with shrimp growing days information and information on a growing environment. In the present embodiment, the shrimp information is, for example, information on the amount of shrimp biomass (eg, information on the amount of shrimp biomass, number of shrimp individuals, information on shrimp weight, information on shrimp size, etc.). , Information on shrimp abnormalities, and information on shrimp's appetite (for example, information on the speed of consuming feed, excess or deficiency of feeding amount, information on at least one of color and size of shrimp intestine, digestion of food) At least one). The shrimp information is not limited to this, and may include information other than these.

  The processing unit 150 includes a captured image acquisition unit 151, a weight information acquisition unit 152, an in-immersion image acquisition unit 153, a position information acquisition unit 154, an image analysis unit 155, a turbidity detection unit 156, a shrimp information acquisition unit (aquatic animal information acquisition). An example of a section) 157 and a feeding condition setting section 158.

  The processing unit 150 controls the operation of the information processing apparatus 100, performs processing in cooperation with the above-described units, and performs processing in cooperation with the local lifting device 40, the feeding device 60, the aeration device 70, and the like. The cooperation with the device on the local side can be performed by transmitting a command to each device or receiving information from each device.

  The processing unit 150 can be usually realized by an MPU, a memory, or the like. The processing procedure of the processing unit 150 is usually realized by software, and the software is recorded in a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  The captured image acquisition unit 151 acquires a captured image obtained by capturing an image of the colander 20 raised from the shrimp aquaculture pond with the camera 30. The captured image acquisition unit 151 acquires a captured image captured at a timing corresponding to the timing at which the colander 20 is lifted from the aquaculture pond by the elevating device 40, for example. In other words, in the present embodiment, when a captured image is captured according to the operation of lifting device 40, the captured image is transmitted to information processing device 100. The captured image acquisition unit 151 receives the transmitted captured image.

  The weight information acquisition unit 152 acquires weight information regarding the weight of the colander 20 raised from the aquaculture pond.

  The in-immersion image acquisition unit 153 acquires the in-immersion image. The in-immersion image is an image obtained by photographing the colander 20 submerged in the aquaculture pond with a camera 30 above the water surface of the aquaculture pond, as described later. The in-immersion image is transmitted from the elevating device 40, for example. The in-immersion image acquisition unit 153 receives the transmitted in-immersion image.

  The position information acquisition unit 154 acquires position information regarding the position of the colander 20 in the vertical direction. In the present embodiment, for example, the position information acquisition unit 154 acquires the position information transmitted from the lifting device 40.

  The image analysis unit 155 analyzes the captured image stored in the captured image storage unit 111, that is, the captured image acquired by the captured image acquisition unit 151. The image analysis unit 155 detects, for example, an area including an object in a captured image, determines whether or not shrimp is included in the detected area based on information stored in advance, and makes the determination. Based on the result, various items are detected in the captured image. For example, the number of shrimp, the size of shrimp, the color of shrimp, the presence or absence of leftover food, the amount of leftover food, and the like are detected by analyzing the captured image.

  The image analysis can be performed by a method using a machine learning algorithm or an analysis method such as pattern matching.

  Specifically, for example, the image analysis unit 155 can perform image analysis as follows. That is, in advance, one or more pieces of contour information of shrimp (an example of pattern information), information about the colander 20 (for example, information about a background color, a pattern color, a pattern size (interval, etc.)), and remaining information. Information about the bait (for example, color in a sampled state) is stored in advance. Then, the image analysis unit 155 detects a region including an object other than a colander from the captured image. The contour of the object in the detection area is extracted. The image analysis unit 155 compares the extracted contour with the contour information prepared in advance, and when the degree of similarity is higher than a predetermined value, determines that the one in the detection area is a shrimp. In other words, the image analysis unit 155 determines that the one in the detection area is a shrimp if the detection area corresponds to the contour information prepared in advance. In addition, the image analysis unit 155 determines the interval in the image of the pattern of the colander 20 (the pattern of the colander 20 will be described later). The image analysis unit 155 also acquires the color of the area determined to be shrimp. In addition, the image analysis unit 155 determines an area in the colander 20 that includes the color of the remaining food. The image analysis unit 155 can detect the number of shrimp individuals based on the number of areas determined to include shrimp. In addition, the image analysis unit 155 determines the size of the shrimp based on the size of the object determined to be the shrimp in the image, the interval in the image of the colander 20 pattern, and the information about the actual pattern interval. Can be detected. Further, the image analysis unit 155 can detect the color of the shrimp based on the color of the region determined to be the shrimp. Further, the image analysis unit 155 can detect the presence or absence of the leftover food and the amount thereof depending on the presence or absence of a region in the colander 20 that includes the color of the leftover food and its size. As the shrimp contour information, it is preferable to store plural kinds of shrimp contour information having different postures and sizes. Further, it is preferable that the contour information of the shrimp having the site where the malformation or the lesion has occurred is also stored together. The image analysis unit 155 may use template information indicating a part of shrimp as pattern information instead of the shrimp contour information.

  On the other hand, the use of the machine learning algorithm can be performed as follows, for example. That is, a learning device that inputs a captured image and outputs the number of shrimp, the size of shrimp, the color of shrimp, the presence or absence of leftover food, the amount of leftover food, etc. is configured by a machine learning algorithm. For example, two or more sets of captured images and information about the number of shrimp, size of shrimp, color of shrimp, presence or absence of leftover food, amount of leftover food, and the like are acquired, and the acquired 2 sets are acquired. The above information is given to the module for constructing the machine learning machine, the machine learning machine is constructed, and stored in the storage unit 110. The algorithm of machine learning may be deep learning, random forest, SVR, or the like. As the machine learning module, various modules such as a TensorFlow module, fasttext, tiny_svm, and various randomForest functions can be used. The learning device can also be called a classifier.

  Note that such a machine learning algorithm may be partially used, for example, in the case of determining whether or not a region including an object in a captured image is a region including shrimp. For example, when determining whether or not a region contains shrimp, a learning device that inputs an image of a region including an object in a captured image and outputs information indicating whether or not shrimp Is constructed by a machine learning algorithm. For example, two or more sets of information of a region image and information regarding whether or not the region contains shrimp are acquired, and the acquired two or more sets of information constitute a machine learning learning device. It may be provided to the module for configuring a learning device and accumulated in the storage unit 110. In this case, the image analysis unit 155 can determine whether or not shrimp is included in the detected area based on the learning device (an example of information stored in advance).

  The turbidity detection unit 156 detects the turbidity of the aquaculture pond based on the in-immersion image acquired by the in-immersion image acquisition unit 153. In the present embodiment, turbidity detection unit 156 further detects turbidity based on the position information acquired by position information acquisition unit 154. Specifically, for example, the turbidity detection unit 156 determines whether or not the colander 20 satisfies a predetermined visible condition in the in-immersion image. As the visible condition, for example, a threshold value such as a difference in brightness between the shadow of the colander 20 in the water and the other region may be set, but it is not limited thereto. The turbidity detection unit 156 acquires the water depth of the colander 20 when the visibility condition of the colander 20 is not satisfied, based on the position information detected by the position information acquisition unit 154. Then, the turbidity corresponding to the water depth is detected based on the information stored in advance in which the water depth and the turbidity are associated with each other. The deeper the water depth of the colander 20 when the visible condition is not satisfied, the lower the turbidity (clear).

  Note that the present invention is not limited to such a detection method, and for example, when the turbidity detection unit 156 has a colander 20 at a predetermined position (for example, the colander 20 may be at a predetermined descending position where the colander 20 is lowered during sampling). For the in-immersion image, the brightness of 20 colanders in the in-immersion image may be detected, and the turbidity may be detected based on the detected value. In this case, for example, information associating the lightness and the turbidity of the 20 parts of the colander may be stored in advance. The turbidity detection unit 156 can obtain the turbidity corresponding to the lightness of 20 colanders in the in-immersion image based on the stored information. That is, the higher the lightness, the lower the turbidity (clearer).

  The shrimp information acquisition unit 157 acquires shrimp information regarding shrimp in the aquaculture pond based on the analysis result of the image analysis unit 155. The shrimp information acquisition unit 157 may acquire the analysis result of the image analysis unit 155 as the shrimp information as it is, or may acquire the information obtained by further calculation or other statistical processing based on the analysis result as the shrimp information. You may. Hereinafter, a specific example of acquiring shrimp information will be described. When obtaining shrimp information based on the captured image obtained by sampling, the shrimp information of the entire aquaculture pond may be converted and obtained as appropriate in consideration of the area and volume of the aquaculture pond. The conversion may not be performed.

  The shrimp information acquisition unit 157 acquires the shrimp information based on the shrimp information acquired so far (past shrimp information) and the shrimp information acquired this time (current shrimp information). The growth state of shrimp in the aquaculture pond may be determined. For example, abnormal growth of shrimp may be determined such that the growth speed of shrimp is low from the time of acquisition of past shrimp information to the time of acquisition of current shrimp information, and that fact may be acquired as shrimp information.

  The shrimp information acquisition unit 157 may acquire the shrimp information, for example, based on the image analysis result of the image analysis unit 155 and the weight information acquired by the weight information acquisition unit 152. That is, for example, the shrimp information acquisition unit 157 can obtain, as the analysis result of the image analysis, the number of sampled shrimp (the number of shrimp), the amount of feed left by the shrimp (remaining amount of feed), and the like. .. Then, the shrimp information acquisition unit 157 calculates by using such information and the weight information, that is, the weight of the solid matter extracted from the aquaculture pond by sampling, or by using a predetermined table or the like. The ABW (average weight) of shrimp can be calculated. Further, since the shrimp ABW can be acquired, the shrimp information acquisition unit 157 can determine the shrimp biomass in the aquaculture pond.

  In addition, the shrimp information acquisition unit 157 may acquire the shrimp information obtained based on the environmental measurement value measured by the environmental sensor 81, for example. That is, when the dissolved oxygen is obtained as the environmental measurement value, the shrimp information acquisition unit 157 performs the calculation based on the dissolved oxygen decrease rate (the dissolved oxygen decrease amount in a predetermined period) and the number of individuals. The growth status (size, ABW, etc.) of the shrimp can be determined by using a predetermined table or the like. This is because as the shrimp grows, the amount of oxygen consumed increases and the rate of decrease in dissolved oxygen increases. Further, the biomass of shrimp in the aquaculture pond may be calculated based on the rate of decrease in dissolved oxygen.

  The shrimp information acquisition unit 157 may acquire the shrimp information by using the same kind of shrimp information obtained by a plurality of methods. For example, the shrimp information acquisition unit 157 obtains the shrimp ABW acquired based on the image analysis result and the weight information and the shrimp ABW acquired based on the decrease rate of dissolved oxygen and the number of individuals, and averages both. By doing so, the ABW of shrimp may be acquired.

  Further, the shrimp information acquisition unit 157, based on, for example, the feed timing (feeding timing) of the feeding device 60 and the shooting timing of the shot image analyzed by the image analysis unit 155, , Shrimp information including color, size of shrimp intestines, digestibility of bait may be obtained. In addition, the shrimp information acquisition unit 157 may acquire the shrimp information based on, for example, the amount of feed supplied to the aquaculture pond and the analysis result of the image analysis unit 155. For example, even if the amount of remaining food detected in the captured image is the same, the longer the interval from the feed timing of the feed to the capturing timing of the captured image, the higher the possibility of excessive feeding. As a matter of course, it is possible to make a judgment regarding the amount of feeding. Therefore, it is possible to accurately provide information regarding the excess or deficiency of the feeding amount. In addition, in this Embodiment, the raising / lowering apparatus 40 is comprised so that the colander 20 may be raised / lowered according to feeding timing, and the captured image of the imaging timing according to feeding timing is obtained. This makes it possible to easily and accurately adjust the feeding amount as described below.

  In addition, the shrimp information acquisition unit 157 determines whether or not there is a shrimp corresponding to a predetermined abnormal pattern based on the analysis result of the image analysis unit 155, and acquires the information on the shrimp abnormality. Good. For example, the shrimp information acquisition unit 157, as a result of the image analysis, shows signs of illness such as a specific organ being enlarged, swimming behavior or posture different from the average shrimp, or having a malformation. It is determined whether there is a shrimp (abnormal shrimp) that corresponds to the predetermined abnormal pattern shown. Such a determination may be performed, for example, by the shrimp information acquisition unit 157 based on the result of image analysis performed by the image analysis unit 155 using the pattern information regarding the abnormality stored in advance. In addition, the shrimp information acquisition unit 157 and the image analysis unit 155 use the machine learning algorithm as described above to perform pre-configured learning using the captured image or the image of the region including the shrimp as an input and the abnormal pattern as an output. You may make it perform using a container. Then, if there is a shrimp that corresponds to the abnormal pattern, the shrimp information acquisition unit 157 acquires, as shrimp information, information indicating that there is an abnormal shrimp in the aquaculture pond, for example. The shrimp information acquisition unit 157 may acquire, as shrimp information, information indicating that there is an abnormal shrimp when the number or existence ratio of abnormal shrimps exceeds a predetermined threshold.

  FIG. 5 is a diagram showing an example of shrimp sampled by the shrimp aquaculture support system 1.

  In FIG. 5, a part of the captured image of the sampled shrimp is shown. Further specific examples of the abnormal pattern include the following, for example.

  For example, in FIG. 5, as in the shrimp indicated by reference sign S2, the size of the bile-pancreatic duct under the head of the shrimp (the part indicated by reference sign S01) is large, and the peripheral part thereof is white, indicating that it is in good health. Is shown.

  When the shrimp intestine (the area indicated by reference numeral S02) is black, it can be said that the digestion of the food has not been completed. It can be said that the thicker the black intestine is, the more food is consumed. In FIG. 5, it can be seen that both the shrimp indicated by the reference sign S1 and the shrimp indicated by the reference sign S2 consume a large amount of food and are under digestion. Therefore, it is possible to calculate the digestibility of the bait by image-analyzing the state of the shrimp intestine.

  The low transparency of the shrimp body and the reddish shrimp tail indicate that the health condition is deteriorated.

  The feeding condition setting unit 158 sets the feeding condition regarding the supply of the feed by the feeding device 60 based on the shrimp information acquired by the shrimp information acquisition unit 157. More specifically, for example, the feeding condition setting unit 158 determines the feeding condition based on the comparison result between the reference value stored in the reference value storage unit 117 and the shrimp information acquired by the shrimp information acquisition unit 157. To set. For example, the feeding condition setting unit 158 compares the ABW of the current shrimp based on the acquired shrimp information with the ABW corresponding to the current DOC obtained using the reference value, and the growth status of the shrimp in the aquaculture pond. , Is faster or slower than the general shrimp indicated by the reference value. Then, based on the determination result, it is possible to determine whether to increase or decrease the feeding amount and reset the feeding condition.

  Here, the feeding conditions include a condition regarding the feed timing of the feed and a condition regarding the feed amount of the feed. Regarding the condition regarding the feed timing of feed, when the feed amount is increased, for example, the feed timing of the next feed can be advanced or the number of feeds per predetermined period can be increased. Regarding the condition regarding the feed amount of the feed, when the feed amount is increased, for example, the feed amount in one feeding opportunity can be increased. It should be noted that in the case of reducing the feeding amount, it may be set to the opposite.

  The information output unit 170 outputs the information, for example, by transmitting the information stored in the storage unit 110 to an external device. In the present embodiment, when there is information to be notified to the user such as an operator, as described later, the information output unit 170 notifies the user by transmitting the information to the user terminal device 910, for example. can do. Note that the information output unit 170 may perform the notification in another output mode as described above (printing paper, displaying on a display, sending e-mail, etc.).

  The communication unit 190 connects the information processing apparatus 100 to the network and controls so as to perform communication with other apparatuses connected to the network. Thereby, the information processing apparatus 100 can transmit / receive information to / from the user terminal device 910 or a local device, for example.

  In the present embodiment, by summarizing the above information, the following shrimp information can be obtained, for example. That is, as a result of image analysis, information such as shrimp size (size), shrimp population, shrimp weight, shrimp image and shrimp shape, color, etc., number of dead shrimp (death count), malformation You can get the number of shrimps with. Alternatively, an environmental measurement value such as dissolved oxygen may be acquired as one piece of shrimp information. In addition, by further processing information based on image analysis results and environmental measurement values, it is possible to obtain more accurate shrimp weight and shrimp size, detect shrimp disease, and detect shrimp appetite. Can be evaluated. In addition, by evaluating the appetite of shrimp, it is possible to detect a decrease in health condition when the appetite is less than normal. It should be noted that the shrimp information is not limited to this, and other information may be obtained, or the above-mentioned information that is not acquired may be included.

  In addition, as the information that can be used when acquiring the shrimp information, the following information can be given. That is, information such as growing days (DOC), shrimp type, number of introduced shrimp, feeding amount, weather history, water temperature history, dissolved oxygen history, water quality history, and turbidity history can be used. More accurate shrimp information can be acquired by accurately acquiring these pieces of information and using them for the acquisition of shrimp information. Information input by an operator or the like may be used as the information that can be used when acquiring the shrimp information. Further, for the water temperature history, the dissolved oxygen history, the water quality history, etc., the output result of the environment sensor 81 or the like may be used. In addition, the result of image analysis of the captured image and the information transmitted from the feeding device 60 or the elevating device 40 may be used.

  FIG. 6 is a diagram showing a colander 20 used in the shrimp aquaculture support system 1. FIG. 7 is a diagram schematically showing an example of a part of a photographed image handled by the shrimp aquaculture support system 1.

  As shown in FIG. 6, in the present embodiment, the colander 20 has a flat, substantially disc-like shape. In the present embodiment, the shape of the colander 20 is shown in a simplified manner in the other drawings.

  The colander 20 is provided with a pattern (reference numeral M) that can be photographed by the camera 30. As the pattern, for example, a lattice pattern having a predetermined interval (for example, 10 millimeters) is attached.

  By using the colander 20 with such a pattern, the size of shrimp can be measured more accurately. That is, as shown in FIG. 7, the lattice spacing that can be grasped by analyzing the captured image is a known predetermined value. Therefore, the image analysis unit 155 can detect the actual size of the shrimp with high accuracy by detecting the size of the shrimp in the captured image as a ratio with the lattice interval. Moreover, since the upper surface of the colander 20 is provided with a pattern, the camera 30 can be easily calibrated before sampling, and a captured image can be captured under appropriate capturing conditions.

  FIG. 8 is a diagram schematically showing another example of a part of a captured image handled by the shrimp aquaculture support system 1.

  The pattern is not limited to the grid-like pattern as described above, and various patterns can be used. For example, as shown as an example of a part of the photographed image in FIG. 8, a checkerboard pattern of a predetermined size may be attached to the colander 20. In addition, some colors of the grid pattern may be different colors. Further, it may be a pattern of a predetermined size (polka dot pattern, star pattern, hatching with a predetermined interval or line width, etc.) or a pattern. In short, the effect described above is obtained by providing the colander 20 with a pattern that allows the scale to be grasped when the image captured by the camera 30 is analyzed, or by providing a pattern suitable for calibrating the camera 30. Can be obtained.

  As the camera 30, in the present embodiment, for example, a monocular digital still camera or the like can be used. As described above, since the pattern for reference to size detection is added to the size 20 in the present embodiment, the size of shrimp can be accurately detected even when a monocular camera is used. ing. Even if the colander 20 has no pattern, the size of the shrimp can be detected more accurately based on the captured image by using a compound-eye camera (stereo camera) as the camera 30, for example. ..

  FIG. 9 is a diagram showing an example of a captured image handled by the shrimp aquaculture support system 1.

  In FIG. 9, two shrimps are included as a result of the sampling, as indicated by reference sign S. Further, as shown by the symbol SR in the upper part of FIG. 9, residual food is included. Image analysis is performed by the image analysis unit 155 for such a captured image, and information such as the number of shrimp individuals, size, and color obtained by sampling is obtained as an analysis result. The shrimp information acquisition unit 157 can acquire information such as the size and color of shrimp as shrimp information of shrimp in the aquaculture pond. Moreover, shrimp information such as the number of shrimp individuals in the aquaculture pond and the amount of living organisms can be obtained by performing calculations and statistical processing based on the obtained number of shrimp individuals, size, and the like.

  FIG. 10 is a flowchart showing the overall flow of operations performed in the shrimp aquaculture support system 1.

  As shown in FIG. 10, in the shrimp aquaculture support system 1, the worker can receive the shrimp aquaculture support by performing the following operations. The following process is performed by the information processing device 100 (or the processing unit 120 thereof) or another device that operates according to a command from the information processing device 100, but is not limited to this.

  (Step S11) First, the information processing apparatus 100 determines whether or not the input of information by the user is received or the information transmitted from another apparatus is received. If the input is received or the information is received, the process proceeds to step S12, and if not, the process returns to step S11.

  (Step S12) The information processing apparatus 100 stores the input accepted information and the received information in the storage unit 110.

  (Step S13) The information processing apparatus 100 acquires feeding conditions. The feeding condition may be acquired from the feeding device 60, or the feeding condition set by the feeding condition setting unit 158 may be acquired inside the information processing device 100.

  (Step S14) The information processing apparatus 100 determines whether the feeding timing has come. If the feeding timing has arrived, the process proceeds to step S15, and if not, the process proceeds to step S16.

  (Step S15) The information processing device 100 and the feeding device 60 perform feeding.

  (Step S16) The information processing device 100 and the lifting device 40 perform sampling.

  (Step S17) The information processing apparatus 100 performs shrimp information analysis processing. As a result, shrimp information is obtained.

  (Step S18) The information processing device 100 performs a reflection process based on the shrimp information. When the process ends, the process returns to step S11.

  It should be noted that such operation may be ended when the aquaculture is ended.

  FIG. 11 is a flowchart illustrating feeding performed in the shrimp aquaculture support system 1.

  The feeding is executed by the feeding device 60 (more specifically, the control unit 67 of the feeding device 60) when, for example, a command to execute the feeding is transmitted from the information processing device 100 to the feeding device 60. To be done. Note that the feeding device 60 executes the feeding when it is determined that the predetermined feeding timing has come based on the set feeding condition (the feeding condition stored in the feeding condition storage unit 68). Good.

  (Step S31) The feeding device 60 acquires the feeding conditions stored in the feeding condition storage unit 68.

  (Step S32) The feeding device 60 uses the weighing unit 63 to weigh the feed to be fed, based on the conditions regarding the feeding amount defined in the feeding conditions. As a result, the supplied feed is taken out from the feed tank 61.

  (Step S33) The feeding device 60 drives the drive unit 66 to cause the spraying mechanism 65 to spray the extracted feed to the aquaculture pond.

  (Step S34) The feeding device 60 records feeding information. The control unit 67 transmits the feeding information to the information processing device 100. The information processing apparatus 100 receives the feeding information and stores it in the feeding information storage unit 116.

  When step S34 ends, feeding ends and the process returns to FIG.

  FIG. 12 is a flowchart illustrating sampling performed by the shrimp aquaculture support system 1.

  The sampling is performed by the lifting device 40 (more specifically, the control unit 47 of the lifting device 40) when a command to execute the sampling is transmitted from the information processing device 100 to the lifting device 40, for example. To be done. In the present embodiment, the information processing device 100 issues a command to execute sampling according to a predetermined schedule. More specifically, the information processing apparatus 100 issues a command to execute sampling when a predetermined time has passed since feeding was performed according to a schedule defined by the feeding conditions (an example of a predetermined schedule). Is configured.

  The instruction to execute sampling is not limited to this. For example, the information processing apparatus 100 may be configured to issue the command according to predetermined schedule information regardless of whether feeding is performed. Further, the elevating device 40 may perform sampling when it determines that a predetermined execution timing has arrived, based on the set predetermined schedule information.

  (Step S111) When the sampling is started, first, the elevating device 40 calibrates the camera 30 with the colander 20 in a predetermined standby position. In the calibration, the camera 30 adjusts the settings of the camera 30 while shooting the colander 20 so that the shooting conditions such as the exposure state become a predetermined degree. Note that the calibration may not be performed.

  (Step S112) The elevating device 40 drives the drive unit 45 to rotate the elevating mechanism 41 and lowers the colander 20 to a predetermined lowering position. The predetermined descent position is set, for example, at a position where the colander 20 and the environment sensor 81 are immersed in the aquaculture pond.

  (Step S113) The lifting device 40 acquires the environmental measurement value output from the environmental sensor 81. The environmental measurement value is transmitted to the information processing device 100 and stored in the environmental measurement value storage unit 115.

  (Step S114) The elevating device 40 determines whether or not to start pulling up the colander 20. For example, it is possible to determine that the raising of the colander 20 is started when a predetermined time has elapsed after completion of step S112, but the invention is not limited to this. If it is determined to start raising the colander 20, the process proceeds to step S115, and step S114 is repeated until then.

  (Step S115) The lifting / lowering device 40 drives the drive unit 45 to rotate the lifting / lowering mechanism 41 and raises the colander 20 to a predetermined standby position.

  (Step S116) The lifting device 40 acquires the weight information output from the weight sensor 83. The weight information is transmitted to the information processing device 100 and stored in the weight information storage unit 113.

  (Step S117) The elevating device 40 causes the camera 30 to photograph the colander 20. The captured image obtained by this is transmitted to the information processing apparatus 100.

  (Step S118) In the information processing device 100, the captured image acquisition unit 151 stores the captured image transmitted from the lifting device 40 in the captured image storage unit 111.

  (Step S119) The elevating / lowering device 40 performs a return operation to remove the contents of the colander 20. The return operation may not be performed. For example, the worker may remove the contents of the colander 20.

  When step S119 ends, sampling ends and the process returns to the process in FIG.

  FIG. 13 is a flowchart illustrating a shrimp information analysis process performed by the shrimp aquaculture support system 1.

  The shrimp information analysis process is executed in the information processing apparatus 100, for example, when sampling is performed and a captured image is stored in the captured image storage unit 111. Note that the information processing device 100 may execute the shrimp information analysis process, for example, periodically according to a predetermined schedule.

  (Step S131) When the shrimp information analysis process is started, the image analysis unit 155 reads a processing target image among the captured images stored in the captured image storage unit 111. For example, a captured image stored after the time when the shrimp information analysis process was executed last time is read.

  (Step S132) The image analysis unit 155 performs image analysis on the read captured image. The image analysis is performed as described above, for example. As a result, analysis results such as shrimp size and number, shrimp intestine color and size, and remaining food amount can be obtained.

  (Step S133) The shrimp information acquisition unit 157 acquires shrimp information based on the image analysis result and the stored information. The acquisition of shrimp information is performed as described above, for example. As a result, shrimp information such as shrimp population, shrimp weight, shrimp size, shrimp abnormality information, food digestibility, and shrimp appetite is acquired.

  (Step S134) The shrimp information acquisition unit 157 stores the acquired shrimp information in the shrimp information storage unit 119.

  When step S134 ends, the shrimp information analysis process ends, and the process returns to the process of FIG.

  FIG. 14 is a flowchart illustrating a reflection process performed by the shrimp aquaculture support system 1.

  The reflection process is executed in the information processing apparatus 100, for example, when the shrimp information analysis process ends and the acquired shrimp information is stored in the shrimp information storage unit 119. The information processing apparatus 100 may execute the reflection process according to a predetermined schedule, for example, periodically.

  (Step S151) The processing unit 150 reads the shrimp information from the shrimp information storage unit 119.

  (Step S152) The processing section 150 determines whether or not the predetermined notification condition is met based on the read shrimp information and the like. If it is determined that the notification conditions are met, the process proceeds to step S153, and if not, the process proceeds to step S154.

  Here, various notification conditions can be set. For example, when the shrimp information includes information indicating that the shrimp in the aquaculture pond is abnormal, it may be determined that the notification condition is met. Alternatively, when the shrimp's appetite is low, it may be determined that the notification condition is met. For example, after a certain period of time after feeding, when the amount of remaining food is more than a certain amount or when it is determined that the food remains undigested due to the color and size of the shrimp's intestine, the appetite of the shrimp Can be judged to be low. Further, when the environmental measurement value exceeds a predetermined threshold value, it may be determined that the notification condition is met. That is, for example, it is preferable to set the notification condition so that it is determined that the notification condition is satisfied when the environment of the aquaculture pond is deteriorated or there is a problem with shrimp growth.

  (Step S153) The processing unit 150 causes the information output unit 170 to execute the notification. For example, by notifying the user of the reason why the notification condition is met, the user can be notified of the fact and the response can be prompted. The notification method may be set appropriately as described above. In step S152, it is always determined that the notification condition is satisfied, and in step S153, the user is always notified of the notification item (eg, shrimp growth status, aquaculture pond environmental condition) related to the shrimp information at that time. You may do it.

  (Step S154) The processing unit 150 determines whether or not the feeding amount is excessive. For example, after a lapse of a predetermined time after feeding, when the amount of remaining food is more than a predetermined amount, or when it is determined that the food remains undigested due to the color and size of the shrimp intestine, It should be determined that it is excessive. If it is determined that the feeding amount is excessive, the process proceeds to step S155, and if not, the process proceeds to step S156.

  (Step S155) The feeding condition setting unit 158 changes the feeding condition so as to reduce the feeding amount. The changed feeding condition is transmitted to the feeding device 60 and stored in the feeding condition storage unit 68. For example, the feeding amount per feeding may be reduced by a predetermined amount or a predetermined ratio, or the feeding timing interval may be delayed by a predetermined time. By changing the feeding condition by a predetermined degree, it is possible to prevent a sudden change in the feeding amount. It proceeds to step S156.

  (Step S156) The processing unit 150 determines whether or not the feeding amount is insufficient. For example, when the amount of remaining food is less than the predetermined amount after a lapse of a predetermined time after feeding, or when it is determined that the food is digested from the color and size of the shrimp intestine, the amount of feeding is insufficient. It may be determined that they are doing it. If it is determined that the feeding amount is insufficient, the process proceeds to step S157, and if not, the process proceeds to step S158.

  (Step S157) The feeding condition setting unit 158 changes the feeding condition so as to increase the feeding amount. The changed feeding condition is transmitted to the feeding device 60 and stored in the feeding condition storage unit 68. For example, the feeding amount per feeding may be increased by a predetermined amount or a predetermined ratio, or the feeding timing interval may be shortened by a predetermined time. By changing the feeding condition by a predetermined degree, it is possible to prevent a sudden change in the feeding amount. It proceeds to step S158.

  (Step S158) The processing unit 150 determines whether the oxygen concentration, that is, the dissolved oxygen is lower than the first oxygen threshold value. It is preferable that the first oxygen threshold value is set to be slightly higher than the minimum value of dissolved oxygen required for healthy growth of a predetermined amount of shrimp. If it is determined that the oxygen concentration is lower than the first oxygen threshold value, the process proceeds to step S159, and if not, the process proceeds to step S160.

  (Step S159) The information processing apparatus 100 transmits a command to the aeration apparatus 70 and causes the aeration apparatus 70 to perform aeration. As a result, it is possible to prevent the state in which the dissolved oxygen in the culture pond is insufficient from continuing. It proceeds to step S160.

  (Step S160) The processing unit 150 determines whether the oxygen concentration, that is, the dissolved oxygen is higher than the second oxygen threshold value. The second oxygen threshold value is a value higher than the first oxygen threshold value. If it is determined that the oxygen concentration is higher than the second oxygen threshold value, the process proceeds to step S161. If not, the reflection process ends.

  (Step S161) The information processing device 100 transmits a command to the aeration device 70 and causes the aeration device 70 to stop the aeration. As a result, it is possible to maintain the state in which the dissolved oxygen is reliably secured, prevent unnecessary aeration, and save energy.

  As described above, in the first embodiment, the shrimp aquaculture support system 1 automatically performs sampling and acquires shrimp information. Therefore, the shrimp information in the aquaculture pond can be easily acquired. The shrimp information may be acquired by performing image analysis based on a captured image, or may be acquired based on the result of image analysis and other information. Therefore, it is possible to obtain more accurate shrimp information.

  Further, in the shrimp aquaculture support system 1, a reflection process is executed according to the acquired shrimp information. Since the feeding condition is changed by the reflecting process and the subsequent feeding is performed based on the changed feeding condition, it is possible to perform the appropriate feeding according to the growth status of the shrimp. Therefore, the aquaculture pond can be maintained in a good environment, and the shrimp can be sufficiently fed.

  Conventionally, in setting the feeding amount, the following method has been used as an example. That is, first, on the assumption that a predetermined proportion of the shrimp biomass is an appropriate feeding amount, the biomass is calculated based on the feeding amount. That is, the ABW reference value corresponding to the DOC is calculated. Then, the required feeding amount is calculated with respect to the reference value of the ABW (for example, it may be calculated using a predetermined table). Then, based on the ratio of the area ratio of the whole aquaculture pond to the colander and the supply amount of the bait to the entire pond, the supply amount of the bait to the colander 20 is calculated. Then, based on the ratio of the amount of food remaining on the colander 20 to the amount of food supply on the colander 20 and the amount of food supply to the entire pond, the remaining food amount of the whole pond is calculated. Then, the food intake of the whole pond is given by subtracting the remaining food intake from the amount of food dropped, and the number of shrimp populations can be estimated based on the food intake of the entire pond. it can. Then, since the reference value of shrimp ABW is given, the shrimp biomass can be calculated by multiplying the shrimp population by ABW.

  On the other hand, in the present embodiment, a highly accurate shrimp biomass can be obtained based on the result of actual sampling.

  The feeding amount for shrimp can be determined by dividing the previously determined daily feeding amount by the number of feeding times per day, but once using the shrimp aquaculture support system 1, It is possible to automatically optimize the feeding amount for each. For example, when the Nth feeding is performed, the colander is automatically lifted after xx minutes and xx + m minutes after the feeding, the presence or absence of the remaining feeding is determined from the captured image, and the preset feeding amount for the next time is adjusted. Specifically, for example, when there is no remaining food after xx minutes, or when it is determined that the food has already been digested from the color and size of the shrimp intestine, the N + 1th feeding amount is changed to the Nth feeding amount. Add + Y% to the amount fed. If there is leftover food after xx minutes but there is no leftover food after xx + m minutes, or if it is determined that the food has already been digested based on the color and size of the shrimp intestine, the feed amount adjustment amount should be 0. % (Does not change feeding amount). If there is still food left after xx + m minutes, or if it is judged that the food remains undigested due to the color and size of the shrimp intestine, then -Y% is set. Similarly, instead of adjusting the feeding amount for one time, the feeding amount for one day can be adjusted by changing the feeding interval. By adjusting the daily feed rate in this way to be optimized, overfeeding can be achieved close to 0, which can be useful for water quality control, and the daily feed rate of the automatic feeding machine = By setting the amount of shrimp feeding in the whole pond, it can be used for accurate measurement of biomass.

  Here, in the present embodiment, the camera 30 may be used to detect the turbidity of the aquaculture pond.

  FIG. 15 is a flowchart illustrating a turbidity detection process performed by the shrimp aquaculture support system 1.

  In the turbidity detection process, for example, when a command to perform sampling is transmitted from the information processing device 100 to the elevating device 40, a command is also issued to perform the turbidity detection process algae accordingly. You can

  (Step S191) When the turbidity detection process is started, first, the lifting device 40 calibrates the camera 30 with the colander 20 in a predetermined standby position.

  (Step S192) The elevating device 40 drives the drive unit 45 to rotate the elevating mechanism 41, and gradually lowers the colander 20.

  (Step S193) Further, the elevating device 40 detects the water surface position of the aquaculture pond. Various methods can be used to detect the water surface position. For example, the detection may be performed based on a change in the measurement value of the weight sensor 83, or the water surface position may be detected using another sensor. Further, the water surface position may be detected based on the information input by the user. The water surface position serves as a reference for the water depth used when measuring turbidity.

  (Step S194) The in-immersion image acquisition unit 153 acquires the in-immersion image of the colander 20 that has begun to be immersed in the aquaculture pond.

  (Step S195) The turbidity detection unit 156 determines whether or not the colander 20 satisfies a predetermined visible condition based on the in-immersion image. When it is determined that the visibility condition is satisfied, the process returns to step S193. Otherwise, it proceeds to step S196.

  (Step S196) The position information acquisition unit 154 acquires the vertical position of the colander 20. That is, the water depth of the colander 20 when the visible condition is not satisfied for the colander 20 is detected.

  (Step S197) The turbidity detection unit 156 acquires the turbidity based on the value of the water depth of the colander 20 when the visible condition is not satisfied. For example, it has information in which the water depth and the turbidity are associated with each other in advance, and the turbidity corresponding to the water depth can be detected based on the information and the water depth.

  The processing in this embodiment may be realized by software. Then, this software may be distributed by software download or the like. Further, this software may be recorded on a recording medium such as a CD-ROM and distributed. The software that implements the information processing apparatus 100 according to the present embodiment is the following program. In other words, this program stores the captured image acquired by the captured image acquisition unit and the captured image acquisition unit that acquires the captured image obtained by capturing the image of the colander raised from the shrimp pond with the camera. It is a shrimp aquaculture support program for operating as a shrimp information acquisition unit that acquires shrimp information regarding shrimp in aquaculture ponds based on an image analysis unit for analysis and an analysis result of the image analysis unit.

  (Embodiment 2)

  The outline of the second embodiment will be described with respect to portions different from the above-described first embodiment. In the second embodiment, the information processing device 100, the feeding device 60, and the elevating device 240, which have the same internal configuration as the first embodiment, are used. The present embodiment is different from the first embodiment in that the lifting device 240 is provided inside the feed tank 61 of the feeding device 60.

  FIG. 16 is a diagram showing the configuration of the lifting device 240 according to the second embodiment.

  That is, in the second embodiment, the camera 30 is arranged inside the feed tank 61 so that it can be photographed downward. A hole (not shown) is formed in the lower part of the feed tank 61 so that the camera 30 can photograph the colander 20.

  In the second embodiment, since the camera 30 is inside the feed tank 61 as described above, the captured image captured by the camera 30 is less likely to be affected by wind and snow or sunlight. Therefore, it is possible to obtain highly accurate shrimp information regardless of outdoor environmental factors.

  It should be noted that only the camera 30 may be configured to be located inside the feed tank 61.

  (Embodiment 3)

  The outline of the third embodiment will be described with respect to portions different from the above-described first embodiment. In the third embodiment, the information processing device 100, the feeding device 60, and the elevating device 340, which have the same internal configuration as the first embodiment, are used. The present embodiment differs from the first embodiment in that the lifting device 340 is provided below the feed tank 61 of the feeding device 60.

  FIG. 17 is a diagram showing a configuration of the lifting device 340 according to the third embodiment.

  That is, in the third embodiment, the camera 30 is arranged below the feed tank 61 so as to be able to shoot downward. In other words, the camera 30 is arranged at a position behind the feed tank 61. For example, the camera 30 can be attached to a yagura for installing the feed tank 61.

  In the third embodiment, since the camera 30 is below the feed tank 61 as described above, the captured image captured by the camera 30 is less likely to be affected by wind and snow or sunshine. Therefore, it is possible to obtain highly accurate shrimp information regardless of outdoor environmental factors.

  Alternatively, only the camera 30 may be arranged below the feed tank 61.

  Further, the camera 30 may be installed under the sunshade Yakura installed on the aquaculture pond so that the same effect can be obtained.

  (Embodiment 4)

  The outline of the fourth embodiment will be described with respect to portions different from the above-described first embodiment. In the fourth embodiment, an elevating device 440 which is different from the first embodiment in a method of raising and lowering 20 is used.

  FIG. 18 is a diagram showing the configuration of the lifting device 440 according to the fourth embodiment.

  FIG. 18 shows a state where sampling is performed by the lifting device 440 and the colander 20 and the environment sensor 81 are immersed in the aquaculture pond.

  In the present embodiment, the lifting device 440 includes an arm-shaped lifting mechanism 441 and a drive unit 445. The drive unit 445 is configured to support the elevating mechanism 441 at its base portion with respect to the foundation 442 and to rotate the elevating mechanism 441 with respect to the foundation 442. The drive unit 445 is composed of, for example, an electric motor or a gear, but is not limited to this.

  A suspension string 43 for holding the colander 20 is attached to the tip of the elevating mechanism 441. The hanging strap 43 is provided with, for example, an environment sensor 81 and a weight sensor 83. The weight sensor 83 can obtain the weight information of the colander 20. It should be noted that the weight information of the colander 20 may be obtained based on the magnitude of the stress generated in the elevating mechanism 441 and the magnitude of the load of the drive unit 445.

  In the present embodiment, the camera 30 is attached, for example, near the tip of the elevating mechanism 441 so that the camera 30 can shoot downward toward the colander 20.

  FIG. 19 is a diagram showing an operation of the lifting device 440 during sampling.

  FIG. 19 shows a state in which the colander 20 immersed in the aquaculture pond is pulled up from the aquaculture pond as shown in FIG. That is, from the state shown in FIG. 18, by driving the drive unit 445 to rotate the elevating mechanism 441 upward with respect to the foundation 442, the colander 20 can be pulled up to the standby position. In this state, by capturing the image of the colander 20 with the camera 30 and obtaining a captured image, it is possible to easily obtain the shrimp information, as in the first embodiment.

  By using such a so-called robot arm-shaped lifting device 440, it is possible to raise and lower the colander 20 and easily perform sampling. In addition, also in the present embodiment, it is possible to obtain the same effects as in the above-described first embodiment.

  FIG. 20 is a diagram illustrating an elevating device 440 according to a modification of the fourth embodiment.

  As shown in FIG. 20, in the fourth embodiment, a positional relationship between the camera 30 and the feed tank 61 of the feeding device 60 may be adopted so that the camera 30 is hidden behind. By doing this, it is possible to obtain highly accurate shrimp information regardless of environmental factors outdoors.

  (Other)

  Workers may feed. In this case, the worker can easily know the amount of feed to be supplied and the feeding timing by notifying the worker of the feeding conditions. Further, it is preferable that the amount of feed actually fed to the information processing apparatus 100 and the feeding timing be recorded by the operator operating the user terminal device 910 to input information.

  Further, the worker may raise and lower the colander. In this case, it is preferable that the pulling rod 20 is automatically photographed by the camera 30, but the present invention is not limited to this. For example, after the worker pulls up the colander 20 and the colander 20 is photographed by the camera 30 by himself, the photographed image obtained by the photographing is transmitted to the information processing device 100 by the worker operating the user terminal device 910 or the like. You may do so.

  Between the image analysis of the captured image and the acquisition of shrimp information, the work of the worker may intervene, or the work of the worker and the process performed by the information processing device may be performed in parallel. You can For example, the information processing apparatus may receive the input of information performed by the operator who has confirmed the captured image, and the shrimp information acquisition unit may acquire the shrimp information based on the received information. Specifically, for example, the worker who views the captured image may input the remaining food amount, and the shrimp information acquisition unit may acquire the shrimp information based on the remaining food amount input by the worker. Further, for example, the operator who saw the captured image inputs information such as whether there is any abnormality regarding the sampled shrimp, and the shrimp information acquisition unit acquires the information regarding whether there is any abnormality as the shrimp information. Good. In this case, for example, the information processing apparatus transmits the captured image and the analysis result of the captured image to the terminal apparatus operated by the worker, and then the information transmitted from the terminal apparatus operated by the operator is processed by the information processing apparatus. Should be received. In addition, the result of the image analysis of the captured image by the image analysis unit is transmitted to the worker as a provisional one, and the worker confirms whether the transmitted information is appropriate or not. You may do it. In this case, the shrimp information acquisition unit may acquire the shrimp information based on the image analysis result of the photographed image confirmed to be appropriate by the operator. In addition, for example, the worker specifies the area of the object included in the captured image and annotates the attribute of that area (whether it is shrimp or leftover food, etc.) The image analysis or the like may be performed based on the. In this way, even when the work by the worker intervenes or the work by the worker and the process performed by the information processing device are performed in parallel, the shrimp information is appropriately acquired based on the captured image. be able to.

  Instead of the colander, a container such as a bucket or a tray may be used as the collector. For example, by using a sampling device such as a bucket that can sample the water in the aquaculture pond, it is possible to take pictures while keeping aquatic animals such as shrimp in the water. It is possible to shoot while preventing the shrimp and the like from going wild. In addition, it is possible to obtain shrimp information by acquiring a captured image showing the behavior in water.

  A shrimp information may be obtained by analyzing a moving image as a captured image using a camera that captures a moving image as the camera 30. For example, shrimp may be detected in a moving image for a predetermined time, and the activity of the shrimp may be obtained as shrimp information by using the amount of movement of the shrimp and the like.

  FIG. 21 is a general view of the computer system 800 in the above embodiment. FIG. 22 is a block diagram of the computer system 800.

  In these figures, the configuration of a computer that executes the programs described in this specification to realize the information processing apparatus 100 and the like according to the above-described embodiments is shown. The above-described embodiments can be realized by computer hardware and a computer program executed on the computer hardware.

  Computer system 800 includes a computer 801, which includes a CD-ROM drive, a keyboard 802, a mouse 803, and a monitor 804.

  In addition to the CD-ROM drive 8012, the computer 801 is connected to the MPU 8013, a bus 8014 connected to the CD-ROM drive 8012 and the like, a ROM 8015 for storing programs such as a boot-up program, and the MPU 8013, and an application. A RAM 8016 for temporarily storing program instructions and providing a temporary storage space, and a hard disk 8017 for storing application programs, system programs, and data are included. Although not shown here, the computer 801 may further include a network card that provides a connection to a LAN.

  A program that causes the computer system 800 to execute the functions of the information processing apparatus and the like according to the above-described embodiments may be stored in the CD-ROM 8101, inserted into the CD-ROM drive 8012, and further transferred to the hard disk 8017. Alternatively, the program may be transmitted to the computer 801 via a network (not shown) and stored in the hard disk 8017. The program is loaded into the RAM 8016 when it is executed. The program may be loaded directly from the CD-ROM 8101 or the network.

  The program does not necessarily include an operating system (OS) that causes the computer 801 to execute the functions of the information processing apparatus according to the above-described embodiments, a third-party program, or the like. The program need only include the part of the instruction that calls the appropriate function (module) in a controlled manner to obtain the desired result. How the computer system 800 operates is well known and will not be described in detail.

  In the above program, in the transmitting step for transmitting information and the receiving step for receiving information, the processing performed by hardware, for example, the processing performed by the modem or the interface card in the transmitting step (only performed by hardware) Processing that is not denied) is not included.

  Moreover, the computer that executes the program may be a single computer or a plurality of computers. That is, centralized processing may be performed or distributed processing may be performed.

  Further, in each of the above-mentioned embodiments, it goes without saying that the two or more communication means existing in one device may be physically realized by one medium.

  Further, in each of the above-described embodiments, each process (each function) may be realized by centralized processing by a single device (system), or by distributed processing by a plurality of devices. (In this case, the entire system configured by a plurality of devices that perform distributed processing can be grasped as one “device”).

  Needless to say, the present invention is not limited to the above-described embodiments, and various modifications can be made, which are also included in the scope of the present invention.

  An embodiment may be configured by appropriately combining the plurality of embodiments described above. For example, the components of the above-described embodiments are not limited to themselves, and the respective components of the above-described embodiments may be appropriately replaced with or combined with the components of the other embodiments. Further, some components and functions of the above-described embodiment may be omitted.

  Further, having the same configuration according to the above embodiment, other aquatic animals different from shrimp, other aquatic animals, such as shellfish, fish and other aquatic animals to be cultured. The aquaculture support system may be configured.

  As described above, the aquatic animal aquaculture support system according to the present invention has an effect that information on aquatic animals such as shrimp in the aquaculture pond can be easily obtained, and is useful as an aquatic aquaculture support system or the like. is there.

1 Shrimp aquaculture support system (an example of aquatic animal aquaculture support system)
20 Zaru (an example of sampling device)
30 Cameras 40, 240, 340, 440 Lifting device 41, 441 Lifting mechanism 43 Hanging string (an example of a holding member)
45 Drive Unit (Example of Drive Unit)
47 Control Unit 49 Communication Unit 60 Feeding Device 61 Feed Tank 63 Measuring Unit (Example of Measuring Unit)
65 Dispersion mechanism (an example of supply unit)
66 drive unit 67 control unit 69 communication unit 68 feeding condition storage unit 70 aeration device 76 drive unit 77 control unit 79 communication unit 81 environment sensor 83 weight sensor 100 information processing device 110 storage unit 111 photographed image storage unit 113 weight information storage unit 115 Environmental measurement value storage 117 Reference value storage 119 Shrimp information storage (an example of aquatic animal information storage)
150 Processing unit 151 Photographed image acquisition unit 152 Weight information acquisition unit 153 Immersion image acquisition unit 154 Position information acquisition unit 155 Image analysis unit 156 Turbidity detection unit 157 Shrimp information acquisition unit (an example of aquatic animal information acquisition unit)
158 Feeding condition setting unit 170 Information output unit 190 Communication unit

Claims (20)

A captured image acquisition unit that acquires a captured image that is a still image or a moving image obtained by capturing with a camera the harvester raised from the aquatic animal pond.
An image analysis unit that analyzes the captured image acquired by the captured image acquisition unit,
An aquatic animal aquaculture support system comprising: an aquatic animal information acquisition unit that acquires aquatic animal information regarding aquatic animals in the aquaculture pond based on the analysis result of the image analysis unit. The image analysis unit detects an area including an object in the captured image, and determines whether or not an aquatic animal is included in the detected area based on information stored in advance. Aquatic animal culture support system described. The aquatic animal information is information on the number of aquatic animals in the aquaculture pond, information on the weight of aquatic animals, information on the size of aquatic animals, information on at least one of the color and size of the intestine of aquatic animals, aquatic animals. The aquatic animal aquaculture support system according to claim 1, comprising at least one of information on the digestibility of animal feed and information on abnormalities of aquatic animals. The aquatic aquaculture support system according to any one of claims 1 to 3, further comprising an elevating device that lowers the extractor and soaks it in the aquaculture pond and then raises the extractor from the aquaculture pond. The aquatic aquaculture support system according to claim 4, wherein the captured image acquisition unit acquires a captured image captured by the elevating device at a timing corresponding to a timing at which the sampler is lifted from the aquaculture pond. The aquatic animal aquaculture support system according to claim 4 or 5, wherein the lifting device raises and lowers the extractor according to a predetermined schedule. Further comprising a weight information acquisition unit for acquiring weight information regarding the weight of the harvester raised from the aquaculture pond,
The aquatic animal information acquisition unit, the aquatic animal information regarding the biomass of aquatic animals in the aquaculture pond obtained based on the image analysis result of the image analysis unit and the weight information acquired by the weight information acquisition unit, The aquatic aquaculture support system according to any one of claims 1 to 6, which is acquired. The aquatic animal aquaculture support system according to claim 1, wherein a pattern that can be photographed by the camera is attached to the sampler. An in-immersion image acquisition unit that acquires an in-immersion image obtained by photographing the harvester immersed in the aquaculture pond with a camera above the water surface of the aquaculture pond,
The aquatic animal aquaculture support according to claim 1, further comprising: a turbidity detection unit that detects the turbidity of the aquaculture pond based on the in-immersion image acquired by the in-immersion image acquisition unit. system. Further equipped with an environmental sensor that acquires environmental measurement values related to the environment of the aquaculture pond,
10. The environment sensor according to claim 1, wherein the environment sensor is attached to the harvester or a member attached to the harvester so that the environment sensor can be immersed in the aquaculture pond together with the harvester. Aquaculture support system. The aquatic animal information acquisition unit according to claim 10, wherein the aquatic animal information acquisition unit acquires the aquatic animal information regarding the biomass of the aquatic animals in the aquaculture pond obtained based on the environmental measurement values acquired by the environmental sensor. Aquaculture support system. Further comprising a feeding device for supplying feed to the aquaculture pond,
The aquatic animal information acquisition unit, based on the feed timing of the feed by the feeding device, and the shooting timing of the captured image analyzed by the image analysis unit, information about the excess or deficiency of the feeding amount, the intestine color of the aquatic animal The aquatic aquaculture support system according to claim 1, wherein the aquatic animal information including at least one of the size and the digestibility of the feed is acquired. A feeding device for supplying feed to the aquaculture pond,
Based on the aquatic animal information acquired by the aquatic animal information acquisition unit, further comprising a feeding condition setting unit for setting a feeding condition regarding the supply of feed by the feeding device,
The aquatic aquaculture support system according to any one of claims 1 to 11, wherein the feeding device supplies the feed based on the feeding condition set by the feeding condition setting unit. The aquatic aquaculture support system according to claim 13, wherein the feeding conditions include at least one of a condition regarding a feed supply timing and a condition regarding a feed supply amount. Further comprising a reference value storage unit that stores a predetermined reference value for the growth of aquatic animals,
The feeding condition setting unit sets the feeding condition based on a comparison result between the reference value stored in the reference value storage unit and the aquatic animal information acquired by the aquatic animal information acquiring unit, Item 13. The aquatic animal culture support system according to Item 13 or 14. Further comprising a feed tank for storing feed fed by the feeding device,
16. The aquatic aquaculture support system according to claim 12, wherein the camera is arranged below or inside the feed tank. The aquatic animal information acquisition unit acquires the aquatic animal information based on the amount of feed supplied to the aquaculture pond and the analysis result of the image analysis unit. Aquaculture Support System of Japan. The aquatic animal information acquired by the aquatic animal information acquisition unit, an aquatic animal information storage unit that is stored in association with the information about the number of days of growth of the aquatic animal and information about the growth environment,
18. The determination as to the current state of growth of aquatic animals in the aquaculture pond is performed based on past aquatic animal information and current aquatic animal information stored in the aquatic animal information storage unit. The aquatic animal aquaculture support system according to any one of the above. The first step of taking a picture of the sampler taken from the aquarium pond with a camera from above,
A second step of image-analyzing the captured image obtained by the first step;
And a third step of acquiring aquatic animal information regarding aquatic animals in the aquaculture pond based on the image analysis result of the photographed image obtained in the second step. Computer,
A captured image acquisition unit that acquires a captured image obtained by capturing an image of a harvester raised from an aquatic aquaculture pond with a camera,
An image analysis unit that analyzes the captured image acquired by the captured image acquisition unit,
An aquatic animal aquaculture support program for operating as an aquatic animal information acquisition unit that acquires aquatic animal information regarding aquatic animals in the aquaculture pond based on the analysis result of the image analysis unit.

Images